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Machine learning-based classification of cardiac diseases from PCG recorded heart sounds

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Abstract

Cardiovascular diseases are one of the most fatal diseases across the globe. Clinically, conventional stethoscope is used to check the medical condition of a human heart. Only a trained medical professional can understand and interpret the heart auscultations clinically. This paper presents a machine learning-based automatic classification system based on heart sounds to diagnose cardiac disorders. The proposed framework involves strategic processing and framing of heart sound to extract discriminatory features for machine learning. The most prominent features are selected and used to train a supervised classifier for automatic detection of cardiac diseases. The biological abnormalities disturbing the physical functioning of the heart cause variations in the auscultations, which is strategically used in terms of some discriminatory features for machine learning-based automatic classification. The proposed method achieved 97.78% accuracy with the equal error rate of 2.22% for abnormal and normal heart sound classification. The experimental results exhibit that the performance of the proposed method in proper diagnosis of the cardiac diseases is high in terms of accuracy and has low error rate which makes the proposed algorithm suitable for real-time applications.

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Acknowledgements

This work was supported by Department of Science and Technology, Ministry of Science and Technology (Grant number DST / BDTD / EAG / 2017).

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Authors and Affiliations

  1. Centre for Advanced Studies, Dr. APJ Abdul Kalam Technical University, Lucknow, India

    Anjali Yadav & Malay Kishore Dutta

  2. Indian Institute of Technology, Delhi, India

    Anushikha Singh

  3. Signals and Communication Department, IDeTIC, University of Las Palmas de Gran Canaria, Las Palmas, Spain

    Carlos M. Travieso

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  1. Anjali Yadav
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  2. Anushikha Singh
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  4. Carlos M. Travieso
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Correspondence to Malay Kishore Dutta.

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Yadav, A., Singh, A., Dutta, M.K. et al. Machine learning-based classification of cardiac diseases from PCG recorded heart sounds. Neural Comput & Applic 32, 17843–17856 (2020). https://doi.org/10.1007/s00521-019-04547-5

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