Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG)

Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG)

Provides a new and innovative method of COPD diagnosis using EMG to analyze sternomastoid muscle activity through features extraction and classification. The book describes the methodology of EMG analysis, the slope-based onset detection algorithm, and SEMG analysis in time, frequency, and time-frequency domain analyses.

It also explores the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis, as well as feature extraction and selection for successful classification of COPD into its severity grades. The book offers a compilation of all techniques used in the literature and emphasizes newly proposed techniques for early detection of COPD.

Fully comprehensive, the book includes discussions of limitations of existing methods for COPD diagnosis and introduces new efficient methods for COPD identification, classification, and early diagnosis.

Provides an easy, simple, and comprehensive guide to using EMG analysis for COPD diagnosis.

Presents detailed explanations of the recently developed slope-based onset detection algorithm for muscle activity detection, along with numerous original figures, tables, and graphs to aid interpretation.

Includes a complete review of various features, such as extraction using single frequency CWT analysis and the feature selection algorithm for COPD diagnosis.