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A Study of Telecardiology-Based Methods for Detection of Cardiovascular Diseases

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Recent Trends in Image and Signal Processing in Computer Vision

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1124))

Abstract

In India, Cardiovascular diseases (CVDs) have now become the main reason for death, due to poor lifestyle management. Population living in rural and distant places is devoid of access to medical experts, especially in the field of cardiology, which leads to worst healthcare services. For this purpose, the proposed technology has an advantage for development of a novel diagnostic system for real-time predictive analysis based on ECG data and related health parameters/symptoms to get instant opinion from cardiologists across the globe. On the other side, India is facing a big challenge of shortfall in highly skilled specialists, particularly in remote areas. So there is a need to save the lives of patients living in remote areas of the country by giving proper diagnosis and timely treatment. Telecardiology may provide a better possible solution by providing timely diagnosis and medication to rural populations and hence can save human lives.

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Author information

Authors and Affiliations

  1. Department of Electronics & Communication Engineering, MRSPTU, Bathinda, India

    Nisha Raheja

  2. Department of Electrical Engineering, PIT, GTB Garh, Moga, India

    Amit Kumar Manoacha

Authors
  1. Nisha Raheja
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  2. Amit Kumar Manoacha
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Correspondence to Amit Kumar Manoacha .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Shruti Jain

  2. Department of Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India

    Sudip Paul

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Raheja, N., Manoacha, A.K. (2020). A Study of Telecardiology-Based Methods for Detection of Cardiovascular Diseases. In: Jain, S., Paul, S. (eds) Recent Trends in Image and Signal Processing in Computer Vision. Advances in Intelligent Systems and Computing, vol 1124. Springer, Singapore. https://doi.org/10.1007/978-981-15-2740-1_12

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