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

Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) is a new and innovative method of diagnosing COPD by analyzing sternomastoid muscle activity. The book describes the methodology of EMG analysis, the slope-based onset detection algorithm, SEMG analysis in time, frequency, and time-frequency domain analyses, and the identification of frequencies for single-frequency Continuous Wavelet Transform (CWT) analysis and feature extraction and selection. It also discusses the limitations of existing methods and introduces new efficient methods for COPD identification, classification, and early diagnosis.

Format: Paperback / softback
Length: 192 pages
Publication date: 20 January 2022
Publisher: Elsevier Science & Technology

Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) presents a novel and cutting-edge approach to diagnosing COPD by employing EMG to examine sternomastoid muscle activity through features extraction and classification. The book comprehensively outlines the methodology of EMG analysis, including the slope-based onset detection algorithm and SEMG analysis in time, frequency, and time-frequency domain analyses. It also delves into the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis and the extraction and selection of features for accurate classification of COPD into its severity grades. Furthermore, the book serves as a comprehensive compilation of all techniques employed in the literature, with a particular emphasis on newly proposed techniques for the early detection of COPD. Thoroughly comprehensive, the book addresses the limitations of existing methods for COPD diagnosis and introduces efficient methods for COPD identification, classification, and early diagnosis.

Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) presents a novel and cutting-edge approach to diagnosing COPD by employing EMG to examine sternomastoid muscle activity through features extraction and classification. The book comprehensively outlines the methodology of EMG analysis, including the slope-based onset detection algorithm and SEMG analysis in time, frequency, and time-frequency domain analyses. It also delves into the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis and the extraction and selection of features for accurate classification of COPD into its severity grades. Furthermore, the book serves as a comprehensive compilation of all techniques employed in the literature, with a particular emphasis on newly proposed techniques for the early detection of COPD. Thoroughly comprehensive, the book addresses the limitations of existing methods for COPD diagnosis and introduces efficient methods for COPD identification, classification, and early diagnosis.

Weight: 328g
Dimension: 228 x 190 x 16 (mm)
ISBN-13: 9780323900508