Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning

Depression is one of the most common mental health disorders, affecting approximately 280 million people worldwide. This condition is defined as emotional dysregulation resulting in persistent feelings of sadness, loss of interest and inability to experience pleasure. Early detection can facilitate...

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Autori principali:	Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-08-01
Serie:	Information
Soggetti:	affective depression screening digital phenotype emotion machine learning passive sensing
Accesso online:	https://www.mdpi.com/2078-2489/13/9/406
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