Ecological momentary interventions for mental health: A sco** review

A Balaskas, SM Schueller, AL Cox, G Doherty - PloS one, 2021 - journals.plos.org
Background The development of mobile computing technology has enabled the delivery of
psychological interventions while people go about their everyday lives. The original visions …

[HTML][HTML] Digital phenoty** 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 …

A common factors perspective on mindfulness-based interventions

SB Goldberg - Nature Reviews Psychology, 2022 - nature.com
Mindfulness-based interventions (MBIs) have entered mainstream Western culture in the
past four decades. There are now dozens of MBIs with varying degrees of empirical support …

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 …

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 …

[HTML][HTML] Understanding the construction of 'behavior'in smartphone addiction: A sco** review

RJE James, G Dixon, MG Dragomir, E Thirlwell… - Addictive …, 2023 - Elsevier
It has been claimed that smartphone usage constitutes a behavioral addiction, characterised
by compulsive, excessive use of one's phone and psychological withdrawal or distress when …

Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from …

NC Jacobson, S Bhattacharya - Behaviour Research and Therapy, 2022 - Elsevier
Smartphones are capable of passively capturing persons' social interactions, movement
patterns, physiological activation, and physical environment. Nevertheless, little research …

[HTML][HTML] Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis

KO Asare, I Moshe, Y Terhorst, J Vega, S Hosio… - Pervasive and Mobile …, 2022 - Elsevier
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 …

[HTML][HTML] Digital phenoty** of mental health using multimodal sensing of multiple situations of interest: A systematic literature review

I Moura, A Teles, D Viana, J Marques… - Journal of Biomedical …, 2023 - Elsevier
Many studies have used Digital Phenoty** of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

[HTML][HTML] Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward

AK Deisenhofer, M Barkham, ET Beierl… - Behaviour research and …, 2024 - Elsevier
Personalization of psychological therapies has always been used by clinicians and
describes all efforts to select, adjust, or modify a treatment for the individual to improve …