Name
Abstract | ||
|---|---|---|
Mental health represents a huge disease and societal burden and a significant body of research in ubiquitous computing has been devoted to the design of technologies for continuous monitoring, diagnosis, and care of mental health conditions. This paper reviews a decade of research into technologies for mental health, focusing on the use of mobile and wearable technology. The review found 46 systems that are analyzed in a historical context and discussed according to which mental disorder they target, the type of technology, and the type and size of the clinical studies they have been used in. Finally, the paper presents inputs from nine leading researchers in the domain and discuss important technical and clinical challenges in the design of ubiquitous computing technology for the next decade. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MPRV.2019.2925338 | IEEE Pervasive Computing |
Keywords | DocType | Volume |
Diseases,Biomedical monitoring,Smart phones,Sensors,Data models,Ubiquitous computing | Journal | 19 |
Issue | ISSN | Citations |
1 | 1536-1268 | 2 |
PageRank | References | Authors |
0.45 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jakob E. Bardram | 1 | 2136 | 174.84 |
| Aleksandar Matic | 2 | 122 | 15.23 |