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] From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression
Background Smartphone-based digital phenotyping 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 …
[HTML][HTML] Multilingual markers of depression in remotely collected speech samples: A preliminary analysis
Background Speech contains neuromuscular, physiological and cognitive components, and
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …
[HTML][HTML] Longitudinal relationships between depressive symptom severity and phone-measured mobility: dynamic structural equation modeling study
Background The mobility of an individual measured by phone-collected location data has
been found to be associated with depression; however, the longitudinal relationships (the …
been found to be associated with depression; however, the longitudinal relationships (the …
The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
Background Alterations in heart rate (HR) may provide new information about physiological
signatures of depression severity. This 2-year study in individuals with a history of recurrent …
signatures of depression severity. This 2-year study in individuals with a history of recurrent …
Increasing the value of digital phenotyping through reducing missingness: a retrospective review and analysis of prior studies
Background Digital phenotyping methods present a scalable tool to realise the potential of
personalised medicine. But underlying this potential is the need for digital phenotyping data …
personalised medicine. But underlying this potential is the need for digital phenotyping data …
Multimodal mental health digital biomarker analysis from remote interviews using facial, vocal, linguistic, and cardiovascular patterns
Objective: Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due
to intensive professional training requirements. In this work, we investigated whether …
to intensive professional training requirements. In this work, we investigated whether …
[HTML][HTML] The feasibility of implementing remote measurement technologies in psychological treatment for depression: mixed methods study on engagement
Background Remote measurement technologies (RMTs) such as smartphones and
wearables can help improve treatment for depression by providing objective, continuous …
wearables can help improve treatment for depression by providing objective, continuous …
[HTML][HTML] Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep …
Background Prior research has associated spoken language use with depression, yet
studies often involve small or non-clinical samples and face challenges in the manual …
studies often involve small or non-clinical samples and face challenges in the manual …
[HTML][HTML] Challenges in using mHealth data from smartphones and wearable devices to predict depression symptom severity: retrospective analysis
Background Major depressive disorder (MDD) affects millions of people worldwide, but
timely treatment is not often received owing in part to inaccurate subjective recall and …
timely treatment is not often received owing in part to inaccurate subjective recall and …