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REACT — Real-time Early Agitation Capture Technology (Vanderbilt)

Citation: Khan, N., Plunk, A., Zheng, Z., Adiani, D., Staubitz, J., et al. (2024). Digital Health, 10, 20552076241287884.
DOI: 10.1177/20552076241287884
Access: Contact Vanderbilt research group (Khan/Sarkar) — dataset and pre-trained models available to collaborators
Tier: 1

Overview

The closest existing system to Meltdown Minder. Real-time wearable agitation detection for children with intellectual and developmental disabilities (IDD), including ASD. N=3 children (6-9 yrs), naturalistic settings.

Signals

  • HR (heart rate)
  • EDA (electrodermal activity)
  • ACC (accelerometry)
  • Device: unspecified wrist-worn wearable

Performance

  • F1 = 78.69% at time of agitation
  • F1 = 68.20% 20 seconds prior to agitation

Key Relevance

  • Same target population (IDD/ASD children)
  • Same detection paradigm (real-time physiological → pre-escalation alert)
  • Multimodal sensor fusion (HR + EDA + accelerometry)
  • Naturalistic deployment (real-world, not lab)
  • Pre-trained models available for transfer learning

Linked To