[HTML][HTML] A systematic review of engagement reporting in remote measurement studies for health symptom tracking
KM White, C Williamson, N Bergou, C Oetzmann… - NPJ Digital …, 2022 - nature.com
Abstract Remote Measurement Technologies (RMTs) could revolutionise management of
chronic health conditions by providing real-time symptom tracking. However, the promise of …
chronic health conditions by providing real-time symptom tracking. However, the promise of …
[HTML][HTML] Wearable devices for anxiety & depression: a scoping review
Background The rates of mental health disorders such as anxiety and depression are at an
all-time high especially since the onset of COVID-19, and the need for readily available …
all-time high especially since the onset of COVID-19, and the need for readily available …
[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 …
[HTML][HTML] Predicting depressive symptom severity through individuals' nearby bluetooth device count data collected by mobile phones: preliminary longitudinal study
Background: Research in mental health has found associations between depression and
individuals' behaviors and statuses, such as social connections and interactions, working …
individuals' behaviors and statuses, such as social connections and interactions, working …
Multi-task learning for randomized controlled trials: a case study on predicting depression with wearable data
A randomized controlled trial (RCT) is used to study the safety and efficacy of new
treatments, by comparing patient outcomes of an intervention group with a control group …
treatments, by comparing patient outcomes of an intervention group with a control group …
[HTML][HTML] Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study
Background: Depressive and manic episodes within bipolar disorder (BD) and major
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
[HTML][HTML] Digital phenotyping in health using machine learning approaches: scoping review
SD Dlima, S Shevade, SR Menezes… - JMIR Bioinformatics and …, 2022 - bioinform.jmir.org
Background Digital phenotyping is the real-time collection of individual-level active and
passive data from users in naturalistic and free-living settings via personal digital devices …
passive data from users in naturalistic and free-living settings via personal digital devices …
[HTML][HTML] Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable …
Background Sleep and circadian rhythm disruptions are common in patients with mood
disorders. The intricate relationship between these disruptions and mood has been …
disorders. The intricate relationship between these disruptions and mood has been …
[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 …