[HTML][HTML] Digital phenotyping for monitoring mental disorders: systematic review
P Bufano, M Laurino, S Said, A Tognetti… - Journal of Medical …, 2023 - jmir.org
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 …
[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 …
Opportunities for smartphone sensing in e-health research: a narrative review
Recent years have seen significant advances in the sensing capabilities of smartphones,
enabling them to collect rich contextual information such as location, device usage, and …
enabling them to collect rich contextual information such as location, device usage, and …
Understanding behaviours in context using mobile sensing
GM Harari, SD Gosling - Nature Reviews Psychology, 2023 - nature.com
Mobile sensing refers to the collection of methods by which researchers derive measures of
human behaviours and contexts from the onboard sensors and logs found in smartphones …
human behaviours and contexts from the onboard sensors and logs found in smartphones …
[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 …
A systematic review of location data for depression prediction
J Shin, SM Bae - International Journal of Environmental Research and …, 2023 - mdpi.com
Depression contributes to a wide range of maladjustment problems. With the development of
technology, objective measurement for behavior and functional indicators of depression has …
technology, objective measurement for behavior and functional indicators of depression has …
Nature experience from yards provide an important space for mental health during Covid-19
Urban dwellers' use of public and private green spaces may have changed during the early
years of the Covid-19 pandemic due to movement restriction. A survey was deployed in …
years of the Covid-19 pandemic due to movement restriction. A survey was deployed in …
[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 …
Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder
F Matcham, E Carr, KM White, D Leightley… - Journal of affective …, 2022 - Elsevier
Background Remote sensing for the measurement and management of long-term conditions
such as Major Depressive Disorder (MDD) is becoming more prevalent. User-engagement …
such as Major Depressive Disorder (MDD) is becoming more prevalent. User-engagement …
Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …
conditions—are pervasive and impairing, representing considerable challenges for both …