Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study

• Published in: JMIR aging Vol. 8; p. e68156
• Main Authors: Badawi, Abeer, Elmoghazy, Somayya, Choudhury, Samira, Elgazzar, Sara, Elgazzar, Khalid, Burhan, Amer M
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 15.07.2025
• Subjects: Accuracy; Aged; Aged, 80 and over; Aggression - psychology; Artificial Intelligence; Behavior; Biomarkers; Biometrics; Camcorders; Cameras; Caregivers; Datasets; Deep Learning; Dementia; Dementia - complications; Dementia - psychology; Dementia and Cognitive Decline; Female; Geriatrics; Global health; Health sciences; Humans; Integrated approach; Machine Learning; Male; Mental health; Mental Health Issues in Elderly Patients and Geriatric Psychiatry; mHealth for Data Collection and Research; Middle Aged; Mobile Health (mhealth); Monitoring systems; Neural networks; Original Paper; Physiology; Pilot Projects; Privacy; Psychomotor Agitation - diagnosis; Sensors; Usability and Technology Use Studies with Elder Subjects; Wearable Devices and Sensors; Wearable Electronic Devices; Canada; agitation; dementia; multimodal sensing; wearable sensors; artificial intelligence; video detection

Dementia is a progressive neurodegenerative condition that affects millions worldwide, often accompanied by agitation and aggression (AA), which contribute to patient distress and increased health care burden. Existing assessment methods for AA rely heavily on caregiver reporting, introducing subjec...