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EEG-Based Alcoholism Detection System by Muhammad Tariq Sadiq is a document available to read on EtoBox.
What is EEG-Based Alcoholism Detection System about?
The paper presents a novel system for detecting alcoholism using electroencephalography (EEG) signals, addressing limitations of traditional assessment methods. The proposed approach utilizes the Fast Walsh-Hadamard Transform for feature extraction and achieves high classification accuracy of 97.5% with machine learning algorithms. Additionally, a new index is developed to assist healthcare professionals in distinguishing between healthy and alcoholic EEG patterns effectively.
- Author
- Muhammad Tariq Sadiq
- Language
- EN