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Analysis of Inspiratory Muscle of Respiration in COPD Patients

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a disease of lungs, in this airway becomes narrow. To perform excess work of respiration necessary and accessory muscles such as sternomastoid (SMM) muscle has to work. In this paper correlation among obstruction level of airways and activity of SMM has invented with time and frequency domain features of electromyography (EMG). Spirometric data and EMG signal of SMM is collected for ten COPD patients. Features used for the analysis are root mean square (RMS), peak to peak voltage, integration and number of peaks in time and frequency domain. Features of EMG and spirometric data are correlated. Significant correlation has found between peak to peak amplitude and number of peaks in time and frequency domain.

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Author information

Authors and Affiliations

  1. Sinhgad Institute of Technology and Science, Pune, India

    Archana B. Kanwade

  2. AISSMS Institute of Technology and Science, Pune, India

    Vinayak Bairagi

Authors
  1. Archana B. Kanwade
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  2. Vinayak Bairagi
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Corresponding author

Correspondence to Archana B. Kanwade .

Editor information

Editors and Affiliations

  1. and Management – Kerala (IIITM-K), Indian Inst. of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. Department of Electrical, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Computer Engineering Department, Vladimir State University, Vladimir Region, Russia

    Sergey Mosin

  6. School of Electrical, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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© 2016 Springer International Publishing Switzerland

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Kanwade, A.B., Bairagi, V. (2016). Analysis of Inspiratory Muscle of Respiration in COPD Patients. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

  • eBook Packages: EngineeringEngineering (R0)

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