Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model.

Journal: Sleep medicine
PMID: 38154150

Abstract

BACKGROUND: Sleep and physical activity suggestions for panic disorder (PD) are critical but less surveyed. This two-year prospective cohort study aims to predict panic attacks (PA), state anxiety (SA), trait anxiety (TA) and panic disorder severity (PDS) in the upcoming week.

Authors

  • Chan-Hen Tsai
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei City, Taiwan; Department of Psychiatry, En Chu Kong Hospital, New Taipei City, Taiwan.
  • Mesakh Christian
    Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Ying-Ying Kuo
    Department of Psychiatry, En Chu Kong Hospital, New Taipei City, Taiwan.
  • Chen Chun Lu
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei City, Taiwan.
  • Feipei Lai
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Room 410, Barry Lam Hall, No.1, Sec.4, Roosevelt Road, Taipei, 10617, Taiwan, Republic of China.
  • Wei-Lieh Huang
    Department of Psychiatry, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan; Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan; Cerebellar Research Centre, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan. Electronic address: weiliehhuang@gmail.com.

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