S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 32, Number 12(3) (2020)
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


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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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