Comparison and Analysis of EEG with Negative and Positive Symptoms of Schizophrenia
Schizophrenia is a type of major mental illness characterized by split personality in thinking and behaviour. Schizophrenia has become the fourth leading cause of disability among adolescents in developing countries. This article is based on the EEG signals of normal people, schizophrenia-positive
patients, and schizophrenianegative patients. From the neuropsychological background and cognitive ability test results, the level of EEG amplitude, the frequency distribution of EEG in performing functional tasks, and the analysis of a comparative analysis of the degree of brain injury can
help medical staff to accurately and effectively classify and diagnose the different symptoms of schizophrenia.
Keywords: Analysis; EEG; Negative Symptoms; Positive Symptoms; Schizophrenia
Document Type: Research Article
Affiliations: 1: Department of Psychiatry, Huangshi Second Hospital, Huangshi, Hubei, 435000, People’s Republic of China 2: Department of Intensive Care Unit, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Hubei, 435000, People’s Republic of China
Publication date: 01 March 2021
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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