Design of a Mobile Architecture for Cardiac Anomaly Identification

  • Rodrigo Leal UFPI
  • Cidrônio Oliveira UFPI
  • Ismael Pereira UFPI
  • Francisco Airton Silva UFPI

Abstract


Abnormal changes in the heart impulses can mean illnesses that require frequent monitoring. Traditional metering solutions present recognized accuracy, however they become expensive when patients decide to be frequently examined. This paper presents an analysis of some low-cost mobile technologies for heart rate monitoring, such as the Mi Band 2 bracelet and Instant Heart Rate applications, 4Free Blood Pressure and iCare Health Monitor. The metrics analyzed were: practicality, measurement environment, data manipulation, platform, accuracy and cost. In terms of accuracy, the Mi Band 2 bracelet was close to 92%. Based on this result, this paper proposes a distributed system capable of identifying cardiac anomalies with the Mi Band 2 bracelet.

References

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Massot, B., Risset, T., Michelet, G., and McAdams, E. (2015). A wireless, low-power, smart sensor of cardiac activity for clinical remote monitoring. In E-health Networking, Application Services (HealthCom). IEEE.
Published
2017-07-02
LEAL, Rodrigo; OLIVEIRA, Cidrônio; PEREIRA, Ismael; SILVA, Francisco Airton. Design of a Mobile Architecture for Cardiac Anomaly Identification. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 17. , 2017, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 2076-2079. ISSN 2763-8952. DOI: https://doi.org/10.5753/sbcas.2017.3727.

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