COPD is a respiratory disease, commonly diagnosed using spirometry. Spirometry is time consuming and difficult to perform on certain patients. Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) presents a new and innovative method of COPD diagnosis by using EMG to analyze sternomastoid muscle activity using features extraction and classification. It describes the methodology of EMG analysis, slope-based onset detection algorithm and SEMG analysis in time, frequency and time frequency domain analysis. It also explores the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis and feature extraction and selection for successful classification COPD into its severity grades. It provides a compilation of all techniques used in the literatures and emphasizes newly proposed techniques for early detection of COPD. Fully comprehensive, the book includes discussion of limitations of existing methods for COPD diagnosis and introduces new efficient methods for COPD identification, classification and early diagnosis.

Book Information
ISBN 9780323900508
Author Archana Bajirao Kanwade
Format Paperback
Page Count 208
Imprint Academic Press Inc
Publisher Elsevier Science & Technology
Weight(grams) 152g