Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a respiratory disease. The burden of COPD is increasing day by day. Existing methods of diagnosis are time-consuming and difficult to perform and not suitable for morbid patients. Sternomastoid muscle is an accessory muscle of respiration. It works at increased load on breathing. Surface electromyographical (EMG) analysis of sternomastoid muscle lead to classification of COPD and Healthy individuals by 98.62% with development of slope-based onset detection algorithm. COPD severity grade classification is achieved with 85.85% of accuracy and Early COPD is detected using physiological factors, patients’ history, and EMG analysis with 93.13% of accuracy. The conclusions drawn from each step of analysis, future scope, and application of the research are discussed.
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