This book intends to report on state-of-the-art AI applications in human-machine interfaces, investigations of human attention, emotions, seizures, Alzheimer's disease, focal and non-focal disorders, abnormal heart rhythms, and leukemia detection. The book encompasses discussions of the in-depth techniques for the analysis and processing of both physiological such as EEG, and ECG, electronic health records, and physical signals such as human speech.
The book offers an in-depth exploration of advanced signal processing techniques, with a strong focus on incorporating machine learning and deep learning methods. It covers the entire process, from signal pre-processing to the automatic classification and identification of various phenogroups. This makes it an invaluable resource for anyone seeking a comprehensive understanding of how AI is being applied in modern healthcare diagnostics.
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