Artificial Intelligence-based Signal Processing for Brain Activity Analysis
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Artificial Intelligence-based Signal Processing for Brain Activity Analysis

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Artificial Intelligence-based Signal Processing for Brain Activity Analys is is an indispensable resource for addressing the pressing challenges in medicine, detection of brain-related disorders, brain-computer interfacing, and neuromarketing. It delves into contemporary AI, ML, and signal processing approaches for analysis of brain activity. The salient features of this book include: (1) Acquisition, preprocessing, noise removal, and processing methods for brain signals, including EEG, ECoG, MEG, fMRI, and fNIRS. (2) Latest AI and ML algorithms relevant for classification of brain signals, in...