Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study.

Journal: JMIR mHealth and uHealth
PMID: 39018100

Abstract

BACKGROUND: Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of the worldwide disease burden. However, collecting and annotating wearable data is resource intensive. Studies of this kind can thus typically afford to recruit only a few dozen patients. This constitutes one of the major obstacles to applying modern supervised machine learning techniques to MD detection.

Authors

  • Filippo Corponi
    School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Bryan M Li
    School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Gerard Anmella
    Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Institute of Neuroscience, Barcelona, Catalonia, Spain; Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III. Madrid, Spain; Department of Medicine, School of Medicine and Health Sciences, University of Barcelona (UB). Barcelona, Catalonia, Spain; Institute of Neurosciences (UBNeuro), Spain. Electronic address: anmella@clinic.cat.
  • Clàudia Valenzuela-Pascual
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Ariadna Mas
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Isabella Pacchiarotti
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Marc Valentí
    Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain.
  • Iria Grande
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Antoni Benabarre
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Marina Garriga
    Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Barcelona, Spain.
  • Eduard Vieta
    CIBER Salud Mental (CIBERSAM), Madrid, Spain.
  • Allan H Young
    Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London & South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, London SE5 8AF, UK.
  • Stephen M Lawrie
    Division of Psychiatry, School of Clinical Sciences, University of Edinburgh, The Royal Edinburgh Hospital, Morningside Park, UK.
  • Heather C Whalley
    Division of Psychiatry, University of Edinburgh, Edinburgh, UK.
  • Diego Hidalgo-Mazzei
    Department of Psychiatry and Psychology, Hospital Clínic de Barcelona, Institute of Neuroscience, Barcelona, Catalonia, Spain; Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III. Madrid, Spain; Department of Medicine, School of Medicine and Health Sciences, University of Barcelona (UB). Barcelona, Catalonia, Spain; Institute of Neurosciences (UBNeuro), Spain.
  • Antonio Vergari
    School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.

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