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Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review.
JMIR Ment Health
January 2025
School for Health Sciences, University of Manchester, Manchester, United Kingdom.
Background: Digital wearable devices, worn on or close to the body, have potential for passively detecting mental and physical health symptoms among people with severe mental illness (SMI); however, the roles of consumer-grade devices are not well understood.
Objective: This study aims to examine the utility of data from consumer-grade, digital, wearable devices (including smartphones or wrist-worn devices) for remotely monitoring or predicting changes in mental or physical health among adults with schizophrenia or bipolar disorder. Studies were included that passively collected physiological data (including sleep duration, heart rate, sleep and wake patterns, or physical activity) for at least 3 days.
A digitally supported multimodal lifestyle program to promote brain health among older adults (the LETHE randomized controlled feasibility trial): study design, progress, and first results.
Alzheimers Res Ther
November 2024
Department of Public Health, Finnish Institute for Health and Welfare, Helsinki, Finland.
Background: The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) multimodal lifestyle intervention yielded cognitive and other health benefits in older adults at risk of cognitive decline. The two-year multinational randomized controlled LETHE trial evaluates the feasibility of a digitally supported, adapted FINGER intervention among at-risk older adults. Technology is used to complement in-person activities, streamline the intervention delivery, personalize recommendations, and collect digital biomarkers.
View Article and Find Full Text PDFDigital biomarkers for psoriatic arthritis: a qualitative focus group study on patient-perceived opportunities and barriers.
RMD Open
October 2024
Department of Rheumatology, Erasmus MC, Rotterdam, Zuid-Holland, The Netherlands.
Objectives: The widespread adoption of wearables, for example, smartphones and smartwatches in the daily lives of the general population, allows passive monitoring of physiological and behavioural data in the real world. This qualitative study explores the perspective of psoriatic arthritis (PsA) patients towards these so-called digital biomarkers (dBMs).
Methods: As part of a Design Thinking approach, six focus groups were conducted involving 27 PsA patients.
Google's loss of pulse detection: Unwitnessed cardiac arrest 'witnessed' by a smartwatch.
Resuscitation
September 2024
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives.
Front Cardiovasc Med
July 2024
Department of Medicine, Aristotle University of Thessaloniki Medical School, Thessaloniki, Greece.
Atrial fibrillation (AF) significantly increases the risk of stroke and heart failure, but is frequently asymptomatic and intermittent; therefore, its timely diagnosis poses challenges. Early detection in selected patients may aid in stroke prevention and mitigate structural heart complications through prompt intervention. Smartwatches, coupled with powerful artificial intelligence (AI)-enabled algorithms, offer a promising tool for early detection due to their widespread use, easiness of use, and potential cost-effectiveness.
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