Autor: |
Prim J; University of North Carolina at Chapel Hill., Favorov O; University of North Carolina at Chapel Hill., Jeffrey J; University of North Carolina at Chapel Hill., Girdler S; University of North Carolina at Chapel Hill., Schiller C; University of North Carolina at Chapel Hill. |
Jazyk: |
angličtina |
Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Jan 25; Vol. 310, pp. 1546-1547. |
DOI: |
10.3233/SHTI231286 |
Abstrakt: |
Wearable devices offer a unique opportunity to provide real-time monitoring of affective switching (the mood transition into and out of dysregulated affective state), a critical window to detect and prevent depression and suicide. To model affective switching, we studied premenstrual dysphoric disorder (PMDD): a depressive disorder with a regularly occurring monthly trigger. Results supported feasibility of smartwatch monitoring protocol and preliminary evidence that objective physiological and behavioral metrics were associated with affective state. |
Databáze: |
MEDLINE |
Externí odkaz: |
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