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Khan 2024 — REACT: Real-time Early Agitation Capture Technology

Citation: Khan, N., Plunk, A., Zheng, Z., Adiani, D., Staubitz, J., et al. (2024). Digital Health, 10, 20552076241287884.
DOI: 10.1177/20552076241287884
Type: Pilot study

Key Contribution

The closest existing prototype to Meltdown Minder. Real-time wearable agitation detection for children with IDD/ASD in naturalistic settings. Pre-trained models and dataset available from Vanderbilt.

Design

  • N=3 children with IDD (6-9 yrs)
  • Naturalistic (real-world) setting
  • Wearable HR + EDA + accelerometry
  • Real-time ML classification

Key Results

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

Limitations

  • Very small N (3 participants)
  • No published follow-up as of July 2026 (5 citations)
  • Standalone pilot — no known active development pipeline
  • Detection window (20s) shorter than Imbiriba (3 min) suggesting multiple detection horizons exist

Linked To