Naik G. (ed.) Biomedical Signal Processing: Advances in Theory, Algorithms and Applications

Singapore: Springer, 2020. — 432 p.This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations
Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots
Force Myography and Its Application to Human Locomotion
Comparison of Independence of Triceps Brachii and Biceps Brachii Between Paretic and Non-paretic Side During Different MVCs—A Case StudyAn EEG Brain-Computer Interface to Classify Motor Imagery Signals
Using Artificial Neural Networks on Multi-channel EEG Data to Detect the Effect of Binaural Stimuli in Resting State
Automated Detection of Seizure and Nonseizure EEG Signals Using Two Band Biorthogonal Wavelet Filter Banks
Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method
DWT Based Time Domain Features on Detection of Epilepsy Seizures from EEG SignalUnipolar Cardiac Leads Between History and Science
Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments Analysis
Artificial Intelligence-Enabled ECG Big Data Mining for Pervasive Heart Health Monitoring
The Power of Tensor-Based Approaches in Cardiac Applications
Syntactic Methods for ECG Signal Diagnosis and QRS Complexes Recognition
Extraction of ECG Significant Features for Remote CVD MonitoringAn Accelerated Computational Approach in Proteomics