Investigation Reinforcement Learning Method for R-Wave Detection on Electrocardiogram Signal

Asep Insani, Wisnu Jatmiko, Anto Tri Sugiarto, Grafika Jati, Suryo Adhi Wibowo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the essential things in recording electrocardiography (ECG) signals is R-wave detection. R-wave is a main component in the QRS wave, where it used for the diagnosis of heart rhythm irregularities and to calculate heart rate variability. On the other hand, Reinforcement Learning (RL) method has been proved that gives an excellent performance for games, network and stock market prediction. Based on this fact, in this paper, we want to investigate the RL for R-wave detection on the ECG signal. For the detection, the lower frequency is removed then we calculate the candidate of the peak, initialize Q-State-Action (QSA) table, peak detection, calculate reward and update the QSA table, respectively. Based on the experiment using the MIT-BIH dataset, the best accuracy of the proposed method is 86.8%, which calculated from alpha and gamma parameters are 0.1 and 0.9, respectively.

Original languageEnglish
Title of host publication2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019
EditorsFerry Wahyu Wibowo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-423
Number of pages4
ISBN (Electronic)9781728145204
DOIs
Publication statusPublished - Dec 2019
Event2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019 - Yogyakarta, Indonesia
Duration: 5 Dec 20196 Dec 2019

Publication series

Name2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019

Conference

Conference2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019
CountryIndonesia
CityYogyakarta
Period5/12/196/12/19

Keywords

  • Electrocardiography (ECG)
  • MIT-BIH Data
  • R-Wave Detection
  • Reinforcement Learning

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  • Cite this

    Insani, A., Jatmiko, W., Sugiarto, A. T., Jati, G., & Wibowo, S. A. (2019). Investigation Reinforcement Learning Method for R-Wave Detection on Electrocardiogram Signal. In F. W. Wibowo (Ed.), 2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019 (pp. 420-423). [9034649] (2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISRITI48646.2019.9034649