Prototyping Network-connected Multi-sensor Node of Wearable Device for Inpatient Monitoring System: Sensor Calibration Aspect (2025)

Status: pending Scraped: 2026-08-12 Source: semantic_scholar Relevance: Related

Authors: Misfa Susanto, Michelin Radina Putri, S. Purwiyanti et al.

Citation: Misfa Susanto, Michelin Radina Putri, S. Purwiyanti et al. (2025), Prototyping Network-connected Multi-sensor Node of Wearable Device for Inpatient Monitoring System: Sensor Calibration Aspect, semantic_scholar. Type: Determine after review

Abstract

Inpatient room monitoring system has its prominence in fulfilling a smart hospital system in healthcare industry. Monitoring patient itself has its importance such as monitoring the patient who is in intensive care unit or in isolated inpatient room. It requires a real-time monitoring system that ca…

Key Contribution

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Design

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Key Results

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Impact

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Linked To

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Data Quality Assessment

Field	Assessment
Subject selection	How were subjects selected? Inclusion/exclusion criteria, sampling strategy, n=? Power analysis?
Data acquisition	How was data physically acquired? Device model (E4, Empatica, WHOOP, Polar, dedicated sensor), sampling rate, placement, firmware version.
Acquisition context	From whom, what were they doing during recording? Clinic, home, school, sleep-only, free-living, task-based? Naturalistic or controlled?
Gold standard labels	How were outcome events defined? Clinician-validated scale (ABCD, ABC, CAAS, VAS), event logs, direct observation, chart review? Inter-rater reliability reported?
Data validation	How were data fields validated? Artifact rejection, signal quality indices, cross-modal checks, manual inspection, automated QC pipeline?
Missingness	n=X subjects — do all have complete data? Missing at random, missing completely at random, or missing not at random? Is missingness correlated with outcome?