Investigating the feasibility of assessing depression severity and valence-arousal with wearable sensors using discrete wavelet transforms and machine learning

HIGHLIGHTS

  • who: Abdullah Ahmed and collaborators from the Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA, USA have published the Article: Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning, in the Journal: Information 2022, 13, 406. of /2022/
  • what: The authors believe that the work has implications towards guiding development in the domain of multimodal wearable-based screening of mental health disorders and necessitates appropriate treatment interventions. The authors aim to quantify the effects of using only unimodal and multimodal . . .

     

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