Meltdown Minder Knowledge Base
45 papers in the vault
45 papers • 3 pending • 6 need DQA review
Relevance:
Status:
DQA:
Signals:
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General Needs Review unknown
Meltdown Minder — Current Architecture & Capabilities
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=909Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=909. Population: ASD. Setting: inpatient. Setting: clinical.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — reference/resource document.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Clinical setting. Laboratory. During sleep. Free-living. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?ABC, VAS, Clinician-rated, Direct observation, Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — reference/resource document.Missingnessn=X subjects — do all have complete data? Describe pattern.n=909.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed
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General unknown
Empatica E4 Research Resources
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — reference/resource document.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — reference/resource document.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — reference/resource document.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — reference/resource document.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
WHOOP Developer Blog & API Docs
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — reference/resource document.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — reference/resource document.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. During sleep.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — reference/resource document.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — reference/resource document.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=65
The Crown Jewel — MVP Roadmap
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=65. Population: ASD. Setting: clinical.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — internal project documentation.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Clinical setting. Laboratory. During sleep. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — internal project documentation.Missingnessn=X subjects — do all have complete data? Describe pattern.n=65.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
AffectiveROAD
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?See dataset documentation for participant demographics and recruitment details.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.See dataset documentation for completeness and exclusion details.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=62
CLAS — Cognitive Load, Affect, and Stress
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=62.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=62.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General Needs Review unknown
Regulation of Brain Cognitive States Through Sensory Stimulation with Wearable Monitoring
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General Needs Review unknown
CogWear — Cognitive Effort Detection with Consumer Wearables
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=142
DAPPER — Dataset for Affective Processing in Real-World Environments
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=142.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=142.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=32
DEAP — Database for Emotion Analysis using Physiological Signals
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=32.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=32.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
FEEL Benchmark
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?See dataset documentation for participant demographics and recruitment details.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.See dataset documentation for completeness and exclusion details.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=20
Goodwin — Autism Inpatient Collection (AIC)
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=20. Population: ASD. Setting: inpatient.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?VAS, Direct observation, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=20.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=70
Imbiriba — JAMA Network Open 2023 (AIC Extension)
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=70. Population: ASD. Setting: inpatient.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=70.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=30
K-EmoCon
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=30.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=30.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
Nurse Stress Dataset (Hosseini 2022)
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Population: ASD.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.See dataset documentation for completeness and exclusion details.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=3
REACT — Real-time Early Agitation Capture Technology (Vanderbilt)
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=3. Population: ASD.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=3.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General Needs Review unknown
ScientISST MOVE — Naturalistic Activity Monitoring
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General Needs Review unknown
Neurophysiological Dataset of Stress Resilience During Human-Computer Interaction
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=25
SWELL-KW
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=25.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=25.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=212
TILES-2018
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=212.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. Free-living. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=212.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=15
WESAD — Wearable Stress and Affect Detection
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=15.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Wearable sensors (see dataset documentation for device specifications, sampling rates, and placement).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See dataset documentation for preprocessing and quality control details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=15.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General Needs Review unknown
Multimodal Dataset for Investigating Working Memory in Presence of Music
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Not assessedData AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Not assessedAcquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Not assessedGold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Not assessedData ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Not assessedMissingnessn=X subjects — do all have complete data? Describe pattern.Not assessedMissing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=335
Meltdown and Tantrum Categorization
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=335. Population: ASD. Setting: clinical.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — internal project documentation.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Clinical setting. Laboratory. During sleep.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — internal project documentation.Missingnessn=X subjects — do all have complete data? Describe pattern.n=335.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
Ferina 2025 — Approaches for Predicting Challenging Behaviors in ASD: A Narrative Review
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Systematic review — no original subject recruitment. Literature search across academic databases.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — review article. Synthesizes findings from published studies using various sensor modalities.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?N/A — review article. Draws from studies across clinical, home, lab, and naturalistic settings.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?N/A — review article. Outcome measures vary by included study; typically clinician-rated scales or diagnostic criteria.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — review article. Quality assessment of included studies per PRISMA or similar guidelines.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — review article. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=70
Goodwin 2019 — Predicting Aggression to Others in Youth with ASD Using a Wearable Biosensor
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=70. Age range: 6-17 yr. Population: ASD. Setting: inpatient.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.EDA, ACC, TEMP. Wearable/wrist-worn device.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Naturalistic setting. Inpatient unit. Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?VAS, Direct observation, Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See paper for preprocessing and validation details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=70.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=70
Imbiriba 2023 — Wearable Biosensing to Predict Imminent Aggressive Behavior in Psychiatric Inpatient Youths With Autism
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=70. Age range: 5-19 yr. Population: ASD. Setting: inpatient.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Empatica E4. Wearable/wrist-worn device.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Inpatient unit. Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See paper for preprocessing and validation details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=70.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=3
Khan 2024 — REACT: Real-time Early Agitation Capture Technology
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=3. Age range: 6-9 yr. Population: ASD.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.EDA, ACC. Wearable/wrist-worn device.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Naturalistic setting. Laboratory. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?See paper for preprocessing and validation details.Missingnessn=X subjects — do all have complete data? Describe pattern.n=3.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=70
Potter 2026 — Temporal Point Process Modeling of Aggressive Behavior Onset in Autistic Youth
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=70. Youth with ASD (ages 6-20) from inpatient psychiatric units. Subset of AIC (Autism Inpatient Collection).Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Empatica E4 wristband. EDA (4Hz), PPG (64Hz), ACC (32Hz), TEMP (4Hz). Continuous monitoring for up to 14 days.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Inpatient psychiatric unit. Naturalistic observation during daily activities. No structured tasks. Clinical staff logged aggression events via OAS-M.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?OAS-M (Overt Aggression Scale — Modified). Events coded by clinical staff via direct observation and chart review. Inter-rater reliability: κ > 0.80.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Temporal point process modeling. Event times validated against clinical logs. EDA signal quality assessed via standard deviation thresholding.Missingnessn=X subjects — do all have complete data? Describe pattern.n=70 enrolled. 62 with complete data (8 excluded: device failure, early discharge, or insufficient event data). Missingness correlated with high-agitation periods.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomMissing not at random -
General unknown
Romani 2026 — Using Wearable Technology to Predict Severe Behavior Problems: A Systematic Review
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Systematic review — no original subject recruitment. Literature search across academic databases.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — review article. Synthesizes findings from published studies using various sensor modalities.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?N/A — review article. Draws from studies across clinical, home, lab, and naturalistic settings.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?N/A — review article. Outcome measures vary by included study; typically clinician-rated scales or diagnostic criteria.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — review article. Quality assessment of included studies per PRISMA or similar guidelines.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — review article. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=15
Schmidt 2018 — WESAD: Wearable Stress and Affect Detection
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=15. Healthy adults (mean age 27.5). 3 conditions: baseline, amusement, stress. Recruited from university community.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Empatica E4 wristband (EDA, BVP, ACC, TEMP) + RespiBAN chest strap (ECG, EMG, RESP, ACC). Both devices worn simultaneously.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory setting. Structured protocol: 20-min baseline, 7-min amusement video, 10-min Trier Social Stress Test, 10-min recovery. Each session ~2 hours.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-report (SAM, PANAS, SSSQ). Physiological state defined by protocol phase (baseline vs stress vs amusement). No clinician-rated labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Manual artifact inspection. EDA artifacts removed via visual inspection. ECG: Pan-Tompkins for R-peak detection. Accelerometer non-wear detected via zero-variance.Missingnessn=X subjects — do all have complete data? Describe pattern.n=15 enrolled. All 15 completed full protocol. No missing data reported. Complete data for all participants across all sensors.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=1
Singh 2026 — FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=1,021. Pooled from 13 public datasets (WESAD, DEAP, DAPPER, etc.). Diverse demographics. No original recruitment.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.PPG (from Empatica E4, Polar H7, and other wearables). Sampling rates vary by source dataset (64-256Hz).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Pooled analysis of 13 existing datasets. Original acquisition contexts vary: lab, controlled, and naturalistic settings.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Self-reported emotion labels (valence, arousal, dominance per SAM). Labels normalized across datasets via harmonization procedure.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Signal quality filtering: PPG signals with SNR < 3dB excluded. Inter-beat interval outliers removed via MAD-based thresholding. Harmonization pipeline validated on held-out dataset.Missingnessn=X subjects — do all have complete data? Describe pattern.n=1,021 pooled from 13 datasets. Each dataset had independent exclusion criteria. Full details in source dataset publications.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomMissing -
General unknown n=45
Stewart 2026 — Comparative Evaluation of Wearable Sensor Form Factors in ASD Youth
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=45. Children with ASD (ages 5-12). Recruited from outpatient clinics and community organizations. Parent-reported diagnosis confirmed via ADOS.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Four devices compared: Empatica E4 (wrist), Polar H10 (chest), Actigraph wGT3X-BT (hip), and custom BVP sensor (finger). Simultaneous wear for 24h.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Home environment. Free-living conditions. Parents instructed to maintain normal daily routines. Devices worn for 24 consecutive hours.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Parent-reported comfort/skin irritation logs. Device wear-time validated via accelerometer non-wear detection. No clinical outcome events.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Cross-device comparison of signal quality metrics. Wear-time validation via multiple sensors. Skin irritation assessed via parent diary.Missingnessn=X subjects — do all have complete data? Describe pattern.n=45 enrolled. 42 completed full protocol (3 excluded: 1 device intolerance, 2 data loss due to Bluetooth disconnection). 93% complete wear-time data.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomMissing -
Direct Pending semantic_scholar 2025
Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection (2025)
Authors: Georgios Bouchouras, Konstantinos KotisSubject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Systematic review — no original subject recruitment. Searched IEEE, PubMed, Scopus, Web of Science for studies on AI/IoT for ASD detection.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — systematic review. Reviewed studies using wearable sensors, EEG, eye-tracking, and video-based systems for ASD detection.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?N/A — systematic review. Pulls from published studies across clinical, home, and lab settings.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?N/A — systematic review. Outcomes based on ADOS, ADI-R, DSM-5 criteria for ASD diagnosis as reported in included studies.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?PRISMA guidelines followed. Dual screening, quality assessment of included studies via QUADAS-2 or similar tool.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — systematic review. No primary data collection; reports on completeness of search and screening according to PRISMA.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
Direct Pending crossref 2027
MXene-based biosensors for biomedical diagnostics: From molecular recognition to wearable systems (2027)
Authors: Shamsheeth Khan Sardar Khan, Govindaraj SabareesSubject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — review article. No human subjects. Covers MXene-based biosensor platforms for biomedical diagnostics.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — review article. Discusses electrochemical, optical, and wearable MXene sensor platforms for biomarker detection (glucose, cortisol, cytokines).Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?N/A — review article. Surveys in vitro, ex vivo, and in vivo sensor validation studies from published literature.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?N/A — review article. No outcome events. Discusses sensor sensitivity, LOD, and selectivity benchmarks from published studies.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — review article. Compares sensor performance metrics (sensitivity, detection range, response time) across published studies.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — review article. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
Direct Pending semantic_scholar n=70 2025
Temporal point process modeling of aggressive behavior onset in psychiatric inpatient youths with autism (2025)
Authors: Michael Potter, Michael Everett, Ashutosh Singh et al.Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=70. Youth with ASD (ages 6-20) from inpatient psychiatric units. 75% male, 85% minimally verbal. Recruited from 4 sites as part of AIC (Autism Inpatient Collection).Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Empatica E4 wristband. Sensors: EDA (4Hz), PPG (64Hz), ACC (32Hz), TEMP (4Hz). Data streamed via Bluetooth to study tablet.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Inpatient psychiatric unit. Continuous monitoring during naturalistic daily activities (meals, therapy, recreation, sleep). No structured tasks. Duration: up to 14 days per participant.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Aggression events defined per OAS-M (Overt Aggression Scale — Modified). Events coded by trained clinical staff via direct observation and chart review. Inter-rater reliability: κ > 0.80.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Manual artifact rejection by trained research assistants. EDA artifacts identified via sudden drops > 5μS. ACC non-wear detected via zero-variance windows. Cross-modal validation between EDA and HRV peaks.Missingnessn=X subjects — do all have complete data? Describe pattern.n=70 enrolled. 62 completed full protocol (8 excluded: 4 device failure, 2 early discharge, 2 withdrew). Missing data: 11% of monitoring hours lost due to device disconnection or signal quality. Missingness correlated with high-agitation periods (MNAR).Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomMissing not at random -
General unknown
Autonomic Dysregulation in ASD
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Population: ASD.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Synthesized from published literature. See referenced studies for device specifications.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Synthesized from published literature. See referenced studies for validation procedures.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — physiology summary. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
Hot-blooded vs Cold-blooded Aggression Physiology
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Setting: clinical.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Synthesized from published literature. See referenced studies for device specifications.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Clinical setting. Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Synthesized from published literature. See referenced studies for validation procedures.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — physiology summary. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
Meltdown Physiological Signature
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — physiology summary document. Synthesizes findings from multiple studies.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Synthesized from published literature. See referenced studies for device specifications.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Synthesized from published literature. See referenced studies for validation procedures.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — physiology summary. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown n=1
Rumble Detection Physiology
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?n=1.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Synthesized from published literature. See referenced studies for device specifications.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Synthesized from published literature. See referenced studies for validation procedures.Missingnessn=X subjects — do all have complete data? Describe pattern.n=1.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
Tantrum vs Meltdown Physiology
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Setting: clinical.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.Synthesized from published literature. See referenced studies for device specifications.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Clinical setting. Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?Synthesized from published literature. See referenced studies for validation procedures.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — physiology summary. No primary data collection.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
REACT — Real-time Early Agitation Capture Technology
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?Population: ASD.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — reference/resource document.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory. Real-world.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — reference/resource document.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — reference/resource document.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
FEEL Benchmark Code
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — code repository. See linked dataset documentation.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — code repository. See linked dataset documentation.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — code repository. See linked dataset and paper for details.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — code repository. See linked dataset documentation.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
WESAD Baseline Implementations
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — code repository. See linked dataset documentation.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — code repository. See linked dataset documentation.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — code repository. See linked dataset and paper for details.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — code repository. See linked dataset documentation.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed -
General unknown
WHOOP 5.0/MG Protocol Schema — NOOP-Audited
Authors:Subject SelectionHow were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?N/A — reference/resource document.Data AcquisitionHow was data physically acquired? Device model (E4, Empatica, WHOOP, Polar), sampling rate, placement, firmware.N/A — reference/resource document.Acquisition ContextFrom whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based?Laboratory.Gold Standard LabelsHow were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation?Event labels.Data ValidationHow were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, QC pipeline?N/A — reference/resource document.Missingnessn=X subjects — do all have complete data? Describe pattern.N/A — reference/resource document.Missing TypeMissing, Missing at random, Missing completely at random, Missing not at randomNot assessed