[HTML][HTML] Wearable artificial intelligence for anxiety and depression: sco** review
Background Anxiety and depression are the most common mental disorders worldwide.
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence …
Parkinson's disease management via wearable sensors: a systematic review
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
Wearable technology in clinical practice for depressive disorder
Wearable Technology in Clinical Practice for Depressive Disorder | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
[HTML][HTML] Digital phenoty** for monitoring mental disorders: systematic review
Background The COVID-19 pandemic has increased the impact and spread of mental
illness and made health services difficult to access; therefore, there is a need for remote …
illness and made health services difficult to access; therefore, there is a need for remote …
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …
the technologies that have been exploited to detect or predict depression. The current …
[HTML][HTML] Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis
Depression is a prevalent mental disorder. Current clinical and self-reported assessment
methods of depression are laborious and incur recall bias. Their sporadic nature often …
methods of depression are laborious and incur recall bias. Their sporadic nature often …
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote …
Abstract Background Major Depressive Disorder (MDD) is prevalent, often chronic, and
requires ongoing monitoring of symptoms to track response to treatment and identify early …
requires ongoing monitoring of symptoms to track response to treatment and identify early …
[HTML][HTML] From smartphone data to clinically relevant predictions: A systematic review of digital phenoty** methods in depression
Background Smartphone-based digital phenoty** enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …
information to be collected as individuals go about their day. This could improve monitoring …
Current advances in wearable devices and their sensors in patients with depression
S Lee, H Kim, MJ Park, HJ Jeon - Frontiers in Psychiatry, 2021 - frontiersin.org
In this study, a literature survey was conducted of research into the development and use of
wearable devices and sensors in patients with depression. We collected 18 studies that had …
wearable devices and sensors in patients with depression. We collected 18 studies that had …
A model of normality inspired deep learning framework for depression relapse prediction using audiovisual data
A Othmani, AO Zeghina, M Muzammel - Computer Methods and Programs …, 2022 - Elsevier
Abstract Background: Depression (Major Depressive Disorder) is one of the most common
mental illnesses. According to the World Health Organization, more than 300 million people …
mental illnesses. According to the World Health Organization, more than 300 million people …