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

ABSTRACT: 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 science, engineering, and clinical science. We summarised the literature on remote measuring technologies, mapping methodological challenges and threats to reproducibility, and identified leading digital signals for depression. Medical and computer science databases were searched between January 2007 and November 2019. Published studies linking depression and objective behavioural data obtained from smartphone and wearable device sensors in adults with unipolar depression and healthy subjects were included. A descriptive approach was taken to synthesise study methodologies. We included 51 studies and found threat

SUBMITTER: De Angel V 

PROVIDER: S-EPMC8752685 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature