ISSN 2394-5125
 


    Eeg-Based Schizophrenia Detection Using A Deep Learning With Cnn-Tcn Model (2024)


    Saranya. M, Pushpalatha. M, Anitha. P, Sangeetha. R, Venkatesan. B , Madasamy Raja. G
    JCR. 2024: 10 - 18

    Abstract

    Schizophrenia is a complex, chronic mental health disorder characterized by an array of symptoms, including delusions, hallucinations, disorganized speech or behavior, and impaired cognitive ability. Schizophrenia is a debilitating mental illness which involves three groups of symptoms, i.e., positive, negative and cognitive, and has major public health implications. According to various sources, it affects up to 1% of the population. The Patho mechanism of schizophrenia is not fully understood and current antipsychotics are characterized by severe limitations. Firstly, these treatments are efficient for about half of patients only. Secondly, they ameliorate mainly positive symptoms (e.g., hallucinations and thought disorders which are the core of the disease) but negative (e.g., flat affect and social withdrawal) and cognitive (e.g., learning and attention disorders) symptoms remain untreated. Thirdly, they involve severe neurological and metabolic side effects and may lead to sexual dysfunction or agranulocytosis (clozapine). The purpose of the study is to identify a common person who are affected by Schizophrenia. Our presentation will also cover the role of psychotherapy, specifically cognitive- behavioral therapy for psychosis, and the benefits of family therapy and support groups. It will create impact on social skills training, focusing on communication, social interaction, problem-solving, and decision-making skills. This application is very user-friendly, efficient and it has got many unique features. Tenants can register using their phone number, store information about their identity and upload the dataset of EEG data it will train the dataset and produce the accurate result of whether the person is affected the disease. Proposed system aims to shed light on the comprehensive and multi-faceted approach required to manage schizophrenia effectively and improve the quality of life for those affected by this complex disorder.

    Description

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    Volume & Issue

    Volume 11 Issue-2

    Keywords

    Schizophrenia, Web Application, Early Intervention and Prevention, CNNs for Schizophrenia Detection, TCNs for Schizophrenia Analysis, Deep learning.