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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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English 日本語
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English 日本語
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MYU K.K.
Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 32, Number 12(3) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4245-4258
S&M2408 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.3106 Published: December 22, 2020 Wavelet Analysis of Electroencephalography Signals of Visual Emotion Induction in Schizophrenia Patients [PDF] Wen-Lin Chu, Min-Wei Huang, Te-Nan Tsai, and Qun-Wei Chang (Received July 17, 2020; Accepted November 2, 2020) Keywords: schizophrenia, support vector machine, wavelet transform, electroencephalography
The extremely busy and stressful nature of life in modern society places a heavy toll on both the physical and mental health of many individuals. This has led to an increase in the numbers of patients with physical and mental illnesses. Of the many types of psychiatric illness, we focus on the study of schizophrenia. Many previous studies have shown that the emotional responses of schizophrenia patients are different from those of normal patients. In this study, we used different visual stimuli to induce emotions on subjects, and electroencephalography (EEG) signals were simultaneously collected for analysis. The collected EEG signals were subjected to Daubechies wavelet transformation, and the extracted features were input to a support vector machine (SVM) for analysis and identification.
Corresponding author: Min-Wei Huang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Wen-Lin Chu, Min-Wei Huang, Te-Nan Tsai, and Qun-Wei Chang, Wavelet Analysis of Electroencephalography Signals of Visual Emotion Induction in Schizophrenia Patients, Sens. Mater., Vol. 32, No. 12, 2020, p. 4245-4258. |
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