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A novel approach towards non-obstructive detection and classification of COPD using ECG derived respiration

  • Surita Sarkar
  • Parthasarathi Bhattacharyya
  • Madhuchhanda Mitra
  • Saurabh PalEmail author
Scientific Paper
  • 49 Downloads

Abstract

The alarming rate of mortality and disability due to Chronic Obstructive Pulmonary Disease (COPD) has become a serious health concern worldwide. The progressive nature of this disease makes it inevitable to detect this disease in its early stages, leads to a greater demand for developing non-obstructive and reliable technology for COPD detection. The use of highly patient-effort dependent, time-consuming, and expensive methods are some major inherent limitations of previous techniques. Lack of knowledge about the disease and inadequacy of proper diagnostic tool for early detection of COPD is another reason behind the 3rd leading cause of death worldwide. For this reason, this study aims to explore the utility of ECG Derived Respiration (EDR) for classification between COPD patients and normal healthy subjects as EDR can be easily extracted from ECG. ECG and respiration signals collected from 30 normal and 30 COPD subjects were analysed. Error calculation and statistical analysis were performed to observe the similarity between original respiration and EDR signal. The morphological pattern changes of respiration and EDR signals were analysed and three different features were extracted from those. Classification was performed by different classifiers employing Decision Tree, Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). Apart from obtaining comparable classification performance it was seen that EDR has better potential than the original respiration signal for classification of COPD from normal population.

Keywords

Chronic Obstructive Pulmonary Disease Electrocardiogram ECG derived respiration Respiration Classification 

Notes

Acknowledgements

The authors would like to thank the medical technicians and research assistants of Institute of Pulmocare & Research, Kolkata, India for their valuable assistance in this study. The first author acknowledges the support of Council of Scientific & Industrial Research, Human Resource Development Group, India through the CSIR-SRF Fellowship.

Compliance with ethical standards

Conflict of interest

The authors declare that there are no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Copyright information

© Australasian College of Physical Scientists and Engineers in Medicine 2019

Authors and Affiliations

  1. 1.Department of Applied PhysicsUniversity of CalcuttaKolkataIndia
  2. 2.Institute of Pulmocare & ResearchKolkataIndia

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