A Hybrid Anomaly Detection Framework for Reliable Physiological Signal Extraction in Multimodal Wearable Sleep Monitoring Article

Xiang, Feiya, Khatri, Geet, Brewer, Alec et al. (2026). A Hybrid Anomaly Detection Framework for Reliable Physiological Signal Extraction in Multimodal Wearable Sleep Monitoring . AI in Medicine, 1(3), 21. 10.3390/aimed1030021

cited authors

  • Xiang, Feiya; Khatri, Geet; Brewer, Alec; Garceau, Emily; Queener, Kirstie MK; Victorio, Mauro Caballero; Ahmmed, Parvez; Reynolds, James; Pozdin, Vladimir Aleksandrovich; Daniele, Michael; Bozkurt, Alper; Lobaton, Edgar

authors

publication date

  • August 12, 2026

published in

keywords

  • 3 Good Health and Well Being
  • 4.1 Discovery and preclinical testing of markers and technologies
  • 40 Engineering
  • 4009 Electronics, Sensors and Digital Hardware
  • 46 Information and Computing Sciences
  • 4605 Data Management and Data Science
  • Bioengineering
  • Cardiovascular
  • Clinical Research
  • Lung
  • Prevention
  • Sleep Research

Digital Object Identifier (DOI)

publisher

  • MDPI

start page

  • 21

volume

  • 1

issue

  • 3