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] An overview of clustering methods with guidelines for application in mental health research

CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia… - Psychiatry …, 2023 - Elsevier
Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …

Technology and mental health: state of the art for assessment and treatment

PD Harvey, CA Depp, AA Rizzo… - American Journal of …, 2022 - Am Psychiatric Assoc
Technology is ubiquitous in society and is now being extensively used in mental health
applications. Both assessment and treatment strategies are being developed and deployed …

[LLIBRE][B] Digital contact tracing for pandemic response: Ethics and governance guidance

JP Kahn - 2020 - books.google.com
As nations race to hone contact-tracing efforts, the world's experts consider strategies for
maximum transparency and impact. As public health professionals around the world work …

A review of detection techniques for depression and bipolar disorder

D Highland, G Zhou - Smart Health, 2022 - Elsevier
Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …

Digital phenoty** in psychological and medical sciences: a reflection about necessary prerequisites to reduce harm and increase benefits

C Montag, C Sindermann, H Baumeister - Current opinion in psychology, 2020 - Elsevier
Digital phenoty** represents a new powerful tool to implement psychodiagnostics in many
areas of psychology and medicine. The basic idea behind digital phenoty** is that digital …

A sco** review of sensors, wearables, and remote monitoring for behavioral health: uses, outcomes, clinical competencies, and research directions

DM Hilty, CM Armstrong, DD Luxton, MT Gentry… - Journal of Technology in …, 2021 - Springer
Sensors and wearables measure physiological and behavioral data in real time for
behavioral health, using a variety of methods, interventions, and outcomes. A six-stage …

Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory

CC Bennett, MK Ross, EG Baek, D Kim… - NPJ Digital Medicine, 2022 - nature.com
Being able to track and predict fluctuations in symptoms of mental health disorders such as
bipolar disorder outside the clinic walls is critical for expanding access to care for the global …

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 …

[HTML][HTML] Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT.

AI Gumley, S Bradstreet, J Ainsworth… - Health Technology …, 2022 - ncbi.nlm.nih.gov
BACKGROUND Relapse is a major determinant of outcome for people with a diagnosis of
schizophrenia. Early warning signs frequently precede relapse. A recent Cochrane Review …