Experimental Analysis of a Mobile Health System for Mood Disorders

Depression is one of the leading causes of disability. Methods are needed to quantitatively classify emotions in order to better understand and treat mood disorders. This research proposes techniques to improve communication in body sensor network (BSN) that gathers data on the affective states of t...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2010-03, Vol.14 (2), p.241-247
Hauptverfasser:	Massey, T., Marfia, G., Potkonjak, M., Sarrafzadeh, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Affective computing Biomedical monitoring Body sensor networks body sensor networks (BSN) Classification Computer Communication Networks - instrumentation Cost engineering Cost function Depression - physiopathology Devices Disorders embedded systems Hardware health informatics Humans Image Processing, Computer-Assisted - methods Linear programming Mathematical model Mathematical models medical applications Medical diagnostic imaging Mobile communication Models, Theoretical Monitoring, Physiologic - economics Monitoring, Physiologic - instrumentation Monitoring, Physiologic - methods Mood Mood Disorders Moods Patient monitoring Patients Placement Signal Processing, Computer-Assisted Studies Telemedicine - instrumentation
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