Digital health tools for the passive monitoring of depression: a systematic review of methods

V De Angel, S Lewis, K White, C Oetzmann… - NPJ digital …, 2022 - nature.com
The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …

[HTML][HTML] Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations

A Trifan, M Oliveira, JL Oliveira - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …

Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review

K Ueafuea, C Boonnag, T Sudhawiyangkul… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …

Depression predictions from GPS-based mobility do not generalize well to large demographically heterogeneous samples

SR Müller, X Chen, H Peters, A Chaintreau… - Scientific Reports, 2021 - nature.com
Depression is one of the most common mental health issues in the United States, affecting
the lives of millions of people suffering from it as well as those close to them. Recent …

Investigating the relationships between mobility behaviours and indicators of subjective well–being using smartphone–based experience sampling and GPS tracking

SR Müller, H Peters, SC Matz… - European Journal of …, 2020 - journals.sagepub.com
People interact with their physical environments every day by visiting different places and
moving between them. Such mobility behaviours likely influence and are influenced by …

Opportunities for smartphone sensing in e-health research: a narrative review

P Kulkarni, R Kirkham, R McNaney - Sensors, 2022 - mdpi.com
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 …

Predicting depressive symptoms using smartphone data

S Ware, C Yue, R Morillo, J Lu, C Shang, J Bi… - Smart Health, 2020 - Elsevier
Depression is a serious mental illness. The symptoms associated with depression are both
behavioral (in appetite, energy level, sleep) and cognitive (in interests, mood …

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 …

Joint modeling of heterogeneous sensing data for depression assessment via multi-task learning

J Lu, C Shang, C Yue, R Morillo, S Ware… - Proceedings of the …, 2018 - dl.acm.org
Depression is a common mood disorder that causes severe medical problems and interferes
negatively with daily life. Identifying human behavior patterns that are predictive or indicative …

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 …