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Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.
Preface
Hyper-Enhanced Feature Learning System for Emotion Recognition
Monitoring of Auditory Discrimination Therapy for Tinnitus Treatment Based on Event-Related (De-) Synchronization Maps
Investigation of the Performance of fNIRS-based BCIs for Assistive Systems in the Presence of Acute Pain
Spatial Distribution of Seismocardiographic Signal Clustering
Non-invasive ICP Monitoring by Auditory System Measurements
Index