This paper is in the following e-collection/theme issue:

Posters - Connected Health Symposium 2016 (46)

Published on in Vol 2, No 1 (2016): December

Can We Predict Depression From the Asymmetry of Electrodermal Activity?

Can We Predict Depression From the Asymmetry of Electrodermal Activity?

Can We Predict Depression From the Asymmetry of Electrodermal Activity?

Authors of this article:

Szymon Fedor1 ;   Peggy Chau2 ;   Nicolina Bruno2 ;   Rosalind W Picard1 Author Orcid Image ;   Joan Camprodon2
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Gilpin G, Gain J, Lipinska G. The physiological signature of sadness: A comparison between text, film and virtual reality. Brain and Cognition 2021;152:105734 View
  2. Cox O, Munjal A, McCall W, Miller B, Baeken C, Rosenquist P. A review of clinical studies of electrodermal activity and transcranial magnetic stimulation. Psychiatry Research 2023;329:115535 View

Conference Proceedings

  1. Bhatia S, Hayat M, Goecke R. Proceedings of the 19th ACM International Conference on Multimodal Interaction - ICMI 2017. A multimodal system to characterise melancholia: cascaded bag of words approach View
  2. Bhatia S, Hayat M, Breakspear M, Parker G, Goecke R. 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). A Video-Based Facial Behaviour Analysis Approach to Melancholia View
  3. Mustafa A, Bhatia S, Hayat M, Goecke R. 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). Heart rate estimation from facial videos for depression analysis View