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2017 | OriginalPaper | Buchkapitel

Real-Time Human Depression Diagnosis System Using Brain Wave Analysis

verfasst von : Dongmin Shin, Yunjin Nam, Dongil Shin, Dongkyoo Shin

Erschienen in: Advanced Multimedia and Ubiquitous Engineering

Verlag: Springer Singapore

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Abstract

This study has the goal of developing a diagnosis system to detect human depression in real time to assist in the diagnosis of a doctor. The developed system may grasp the concentration and depression level of a patient using brainwave data acquired in real time. The depression detection index used in the system is the frontal brain asymmetry (FBA), which is based on the asymmetric phenomenon of depressed patients. In this study, an experiment was conducted with 40 depressed/normal subjects in order to verify the reliability of the developed system. The results proved that the system diagnosed the depression level in real time. It can be used to develop therapy programs for various nervous and mental disorders.

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Metadaten
Titel
Real-Time Human Depression Diagnosis System Using Brain Wave Analysis
verfasst von
Dongmin Shin
Yunjin Nam
Dongil Shin
Dongkyoo Shin
Copyright-Jahr
2017
Verlag
Springer Singapore
Buch
Advanced Multimedia and Ubiquitous Engineering

Print ISBN: 978-981-10-5040-4

Electronic ISBN: 978-981-10-5041-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-981-10-5041-1_67

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