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Remote acquisition and processing of cardiac signals using Arduino and Matlab

Published: 08 July 2022 Publication History

Abstract

The processing of cardiac signals becomes more important and necessary every day, given the incidence of diseases that affect this vital organ worldwide. In this sense, this research work is summarized in the remote processing of cardiac signals, under the principles of telemedicine. This seeks to support the health sector in the medical diagnosis of heart disease in patients specifically in rural areas of Peru, where it is very difficult to count on the professional services of specialists. In this work, the technologies associated with the IoT are applied, in whose Internet network the processes of transmission, reception and processing of the cardiac signal are facilitated. It is important to point out that the processing of the signal is fundamental, due to the influence of external disturbances that can affect the cardiac signal, which must be presented without noise, in the process of remote diagnosis, and to achieve this purpose the Matlab platform, through console programming and there are many other platforms to achieve this end. We hope that this contribution will serve to carry out future complementary research that seeks to reduce the incidence of heart disease.

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ICECC '22: Proceedings of the 2022 5th International Conference on Electronics, Communications and Control Engineering
March 2022
154 pages
ISBN:9781450395847
DOI:10.1145/3531028
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 July 2022

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Author Tags

  1. Cardiac signal
  2. Electrocardiography
  3. IoT
  4. Signal processing

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