Abstract
Wavelet Analysis of Electroencephalography Signals of Visual Emotion Induction in Schizophrenia Patients
Highlights
The pace of life and work in modern society is very fast and people these days are under much more stress than in the past
The signals were cut to coincide with the stimulation time and classified into two groups, stimulation and nonstimulation, which were used for feature extraction; aware permutation entropy (AAPE), log, and Shannon entropy were used to calculate the features of signals in the different frequency bands to establish a database
The accuracy is 75.9% under Linear support vector machine (SVM) with the feature of AAPE and becomes as high as 87% under Cubic SVM with AAPE
Summary
The pace of life and work in modern society is very fast and people these days are under much more stress than in the past. The number of patients with physical and mental illnesses is increasing. Many people are unaware of the amount, or even of the existence, of stress to which they are regularly exposed. The overwhelming stress of a tumultuous daily life can lead to physical aging, mental exhaustion, and even emotional breakdown. Physical and mental illnesses have become an issue that cannot be ignored by society. The clinical classification of physical and mental illnesses includes commonly seen but less serious conditions, such as depression, obsessive–compulsive disorder, and panic attacks. According to statistics published in 2017 by the Ministry of Health and Welfare of Taiwan, 119,461 patients have been diagnosed with schizophrenia, which is 0.4% of ISSN 0914-4935 © MYU K.K. https://myukk.org/
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
