A cardiac arrhythmia monitoring platform based on feature selection and classification methods

  • Anderson P. N. Silva
  • Gibeon S. Aquino-Júnior
  • João C. Xavier-Júnior
  • Cephas A. S. Barreto
DOI: https://doi.org/10.5753/sbcup.2018.3292

Abstract


Heart arrhythmia, also known as irregular heartbeat, affects millions of people around the world. One of the ways to detect this cardiac dysrhythmia is by performing an electrocardiogram (ECG) exam which records the electrical activity of the heart. However, this type of exam is always interpreted by a doctor. In order to provide an alternative in heart arrhythmia diagnosis, this paper aims at developing a platform based on Internet of Things infrastructure capable of automatically monitoring and identifying cardiac arrhythmia based on feature selection and classification methods.

Published
2018-07-26
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SILVA, Anderson P. N.; AQUINO-JÚNIOR, Gibeon S.; XAVIER-JÚNIOR, João C.; BARRETO, Cephas A. S.. A cardiac arrhythmia monitoring platform based on feature selection and classification methods. In: PROCEEDINGS OF BRAZILIAN SYMPOSIUM ON UBIQUITOUS AND PERVASIVE COMPUTING (SBCUP), 10. , 2018, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2018.3292.