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

Bipolar Disorders (58) Viewpoints and Perspectives (525)

Published on in Vol 7, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14267, first published .
Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Authors of this article:

Henning Daus1, 2 Author Orcid Image ;   Timon Bloecher3 Author Orcid Image ;   Ronny Egeler4 Author Orcid Image ;   Richard De Klerk5 Author Orcid Image ;   Wilhelm Stork6 Author Orcid Image ;   Matthias Backenstrass1, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Henning Daus   1, 2 , Dipl ;   Timon Bloecher   3 , MSc ;   Ronny Egeler   4 ;   Richard De Klerk   5 , Dipl ;   Wilhelm Stork   6 , PhD ;   Matthias Backenstrass   1, 7 , PhD

1 Institute of Clinical Psychology, Centre for Mental Health, Klinikum Stuttgart, Stuttgart, Germany

2 Faculty of Science, Eberhard-Karls-University Tübingen, Tübingen, Germany

3 Embedded Systems and Sensors Engineering, Research Center for Information Technology, Karlsruhe, Germany

4 Sikom Software GmbH, Heidelberg, Germany

5 ITK Engineering GmbH, Ruelzheim, Germany

6 Institute for Information Processing Technologies, Karlsruhe Institute of Technology, Karlsruhe, Germany

7 Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany

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