EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction

Discover the groundbreaking research in "EMG Signals Characterization in Three States of Contraction" by Bita Mokhlesabadifarahani, published in 2015 by Springer Verlag. This insightful paperback, spanning 35 pages, delves into the intricate analysis of neuro-fuzzy classifiers. The book provides a comparative study of various structures to identify the optimal classifier for characterizing EMG signals during different states of muscle contraction. Ideal for researchers and professionals in biomedical engineering and signal processing, this work offers valuable insights into advanced feature extraction techniques. Elevate your understanding of electromyography with this essential addition to your library.