Wearable, environmental, and smartphone-based passive sensing for mental health monitoring

M Sheikh, M Qassem, PA Kyriacou - Frontiers in digital health, 2021 - frontiersin.org
Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …

[HTML][HTML] From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression

IE Leaning, N Ikani, HS Savage, A Leow… - Neuroscience & …, 2024 - Elsevier
Background Smartphone-based digital phenotyping enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …

Monitoring changes in depression severity using wearable and mobile sensors

P Pedrelli, S Fedor, A Ghandeharioun, E Howe… - Frontiers in …, 2020 - frontiersin.org
Background: While preliminary evidence suggests that sensors may be employed to detect
presence of low mood it is still unclear whether they can be leveraged for measuring …

Digital experiences and their impact on the lives of adolescents with pre‐existing anxiety, depression, eating and nonsuicidal self‐injury conditions–a systematic …

K Kostyrka‐Allchorne, M Stoilova… - Child and …, 2023 - Wiley Online Library
Background Published systematic reviews provide evidence linking positive and negative
digital experiences to adolescent mental health. However, these reviews focus on the …

[HTML][HTML] Predicting depression in adolescents using mobile and wearable sensors: multimodal machine learning–based exploratory study

T Mullick, A Radovic, S Shaaban… - JMIR Formative …, 2022 - formative.jmir.org
Background: Depression levels in adolescents have trended upward over the past several
years. According to a 2020 survey by the National Survey on Drug Use and Health, 4.1 …

[HTML][HTML] Tracking and monitoring mood stability of patients with major depressive disorder by machine learning models using passive digital data: prospective …

R Bai, L Xiao, Y Guo, X Zhu, N Li, Y Wang… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Major depressive disorder (MDD) is a common mental illness characterized by
persistent sadness and a loss of interest in activities. Using smartphones and wearable …

[HTML][HTML] Relationship between daily rated depression symptom severity and the retrospective self-report on PHQ-9: A prospective ecological momentary assessment …

I Baryshnikov, T Aledavood, T Rosenström… - Journal of Affective …, 2023 - Elsevier
Background Depression-related negative bias in emotional processing and memory may
bias accuracy of recall of temporally distal symptoms. We tested the hypothesis that when …

A collaborative realist review of remote measurement technologies for depression in young people

AEL Walsh, G Naughton, T Sharpe… - Nature Human …, 2024 - nature.com
Digital mental health is becoming increasingly common. This includes use of smartphones
and wearables to collect data in real time during day-to-day life (remote measurement …

[HTML][HTML] Sensing apps and public data sets for digital phenotyping of mental health: systematic review

JPM Mendes, IR Moura, P Van de Ven, D Viana… - Journal of medical …, 2022 - jmir.org
Background Mental disorders are normally diagnosed exclusively on the basis of symptoms,
which are identified from patients' interviews and self-reported experiences. To make mental …

[HTML][HTML] A mobile sensing app to monitor youth mental health: observational pilot study

L MacLeod, B Suruliraj, D Gall… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Internalizing disorders are the most common psychiatric problems observed
among youth in Canada. Sadly, youth with internalizing disorders often avoid seeking …