Explainable Computational Intelligence for Neurological Disorders
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Overview
Artificial intelligence and Explainable computational intelligence are continuously reshaping the detection, monitoring and data-rich diagnostics in neurological disorders. This book brings together recent advances in neuro-focused AI systems, biomedical signal interpretation, multi-modal analytics and explainable AI. The chapters progress from foundational perspectives on AI-enabled neurological and biomedical data to recent machine learning and deep learning frameworks for ECG and EEG-based disease screening, and finally toward assistive and translational technologies such as sign language recognition, virtual reality interventions, regenerative neurology, and cancer AI analytics.
This book:
- Offers a detailed perspective on explainable AI-based systems for neurological diagnosis, and clinical decision support.
- Discusses key physiological and neural biomarkers, including heart rate variability, skin conductance, entropy analytics, ECG, and EEG signals.
- Includes recent AI model designs from wearable sensor analytics and brain connectivity for assistive systems.
- Includes machine learning approaches for conditions such as Alzheimer's, epilepsy (seizure prediction and surgery outcomes), and other neurological disorders.
- Explores translational technologies and therapies, for different neuro disorders, along with multi-modal AI insights for early tumor detection.
The book is suitable for research scholars, clinicians, and postgraduate students working in biomedical signal analysis, neuro-AI modelling, wearable diagnostics, and intelligent assistive systems.
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Details
- ISBN-13: 9781041074236
- ISBN-10: 1041074239
- Publisher: CRC Press
- Publish Date: January 2027
- Page Count: 328
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