• Classification of Chronic Obstructive Pulmonary Disease (COPD) Using Electromyography

    • Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/045/0132

    • Keywords

       

      Sternomastoid; surface electromyography; COPD; wavelet analysis

    • Abstract

       

      Chronic lung disease, in which the airway gets obstructed, is known as Chronic Obstructive Pulmonary Disease (COPD). According to WHO, COPD kills more than 3 million people every year. Spirometry is used to diagnose COPD; has many limitations. There is a need for physiologically accurate and easy to perform diagnosis technology. Researchers confirmed the activity of sternomastoid muscle in COPD with research limitations of; sample size, few time-domain features, lack of onset detection and the non-stationary nature ofElectromyographical signals (EMG). In this, paper COPD diagnosis is made by analyzing Sternomastoid muscle of respiration in time, frequency and time-frequency domain. The slope-based onset detection algorithm andconduction velocity lead to an improvement in COPD detection accuracy to 98.61%. The feature selection algorithm is developed for the selection of the most significant features. A single frequency Continuous Wavelet Transform (CWT) analysis at 7, 8 and 10 Hz of frequency is used to extract features and to classify COPD in its grades, leading to the classification accuracy of 85.89%. Non-invasive, easy to use COPD diagnosis and classification technique is developed.

    • Author Affiliations

       

      V K BAIRAGI1 ARCHANA B KANWADE2

      1. Department of Electronics and Telecommunication Engineering, AISSMS’S Institute of Information Technology, Savitribai Phule Pune University, Pune, India
      2. Department of Electronics and Telecommunication Engineering, AISSMS’S Institute of Information Technology and Sinhgad Institute of Technology and Science, Narhe, Savitribai Phule Pune University, Pune, India
    • Dates

       
  • Sadhana | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2021-2022 Indian Academy of Sciences, Bengaluru.