Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters

  • Anita Miftahul Maghfiroh Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
  • Liliek Soetjiatie Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
  • Bambang Guruh Irianto Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
  • Triwiyanto Triwiyanto Department of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
  • Achmad Rizal School of Electrical Engineering, Telkom University, Bandung, INDONESIA
  • Nuril Hidayanti Departement of Electromedical Engineering Poltekkes Kemenkes Surabaya
DOI: https://doi.org/10.35882/ijeeemi.v4i2.4
Keywords: Heart Rate, Finger Sensor, Artifact, Butterworth Digital Filter, Adaptive LMS Digital Filter

Abstract

Heart rate is an important indicator in the health sector that can be used as an effective and rapid evaluation to determine the health status of the body. Motion or noise artifacts, power line interference, low amplitude PPG, and signal noise are all issues that might arise when measuring heart rate. This study aims to develop a digital filter that reduces noise artifacts on the finger sensor to improve heart rate measurement accuracy. Adaptive LMS and Butterworth are the two types of digital filters used in this research. In this study, data were collected from the patient while he or she was calm and moving around. In this research, the Nellcor finger sensor was employed to assess the blood flow in the fingers. The heart rate sensor will detect any changes in heart rate, and the measurement results will be presented on a personal computer (PC) as signals and heart rate values. The results of this investigation showed that utilizing an adaptive LMS filter and a Butterworth low pass filter with a cut-off frequency of 6Hz, order 4, and a sampling frequency of 1000Hz, with the Butterworth filter producing the least error value of 7.57 and adaptive LMS maximum error value of 27.65 as predicted by the researcher to eliminate noise artifacts. This research could be applied to other healthcare equipment systems that are being monitored to increase patient measurement accuracy.

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Published
2022-05-28
How to Cite
[1]
A. M. Maghfiroh, L. Soetjiatie, B. G. Irianto, T. Triwiyanto, A. Rizal, and N. Hidayanti, “Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters”, Indones.J.electronic.electromed.med.inf, vol. 4, no. 2, pp. 68-77, May 2022.
Issue
Vol. 4 No. 2 (2022): May
Section
Research Article

Copyright (c) 2022 Anita Miftahul Maghfiroh, Liliek Soetjiatie, Bambang Guruh Irianto, Triwiyanto Triwiyanto, Achmad Rizal, Nuril Hidayanti

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