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Ganesh R., PhD Naik
Signal Processing-Driven AI for Healthcare
Signal Processing-Driven AI for Healthcare
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- More about Signal Processing-Driven AI for Healthcare
Signal Processing-Driven AI for Healthcare examines how AI techniques can be applied across four major biosignals-EEG, EMG, EOG, and ECG-to derive clinically meaningful insights. As biomedical data becomes increasingly multimodal, there is a rising need for integrated methodologies that unite these signals within robust, explainable AI pipelines suitable for healthcare environments. This book provides a unified framework that spans data acquisition, preprocessing, feature extraction, modeling, evaluation, and deployment, with an emphasis on reproducibility, practical Python-based implementations, and real-world translation to clinical workflows.
- Publication date: 7 September 2026
- Page count: 362
- Dimensions: Height 234 mm; Width 192 mm; Thickness 22 mm
- Publisher: Elsevier Science Publishing Co Inc
- Format: Paperback
- ISBN-13: 9780443492761
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