Physiological signal analysis for patients with depression

Yen Ting Chen, I. Chung Hung, Min Wei Huang, Chun Ju Hou, Kuo-Sheng Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Depression is a common and serious mental disorder. About 1.9 million people in Taiwan are identified as having depression. There is a trend of increase of the prevalence of depression, three times more depressed persons within the past six years. A few patients with depression were in treatment. Therefore, an available algorithm will be build to measure the neurophysiology of depression. In this study, the physiological signals from depressed patients will be compared with those from normal people. This experiment use different pictures expresses happiness, sadness fear, and disgust to cause the emotion of subjects. The physiological signals of the patient is measured at the same time. The preliminary results show that the galvanic skin response, heart rate variability, and blood volume pulse of patients with depression is lower than the normal people does. More subjects will be evaluated in the project for investing the clinical significance.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages805-808
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: 2011 Oct 152011 Oct 17

Publication series

NameProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume2

Other

Other2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period11-10-1511-10-17

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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