QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform
Heart Rate Variability or heart rate in humans is used to monitor the heart rate in humans, the function of the heart rate monitor is to monitor the human heart rate. The purpose of making this tool is to compare the results of heart rate readings using the discrete wavelet transform method to facil...
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Format: | Article |
Language: | English |
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Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya
2022-11-01
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Series: | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
Subjects: | |
Online Access: | http://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/236 |
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author | Arga Wihantara I Dewa Gede Hariwisana Andjar Pudji Sari Luthfiyah Vijay Anant Athavale |
author_facet | Arga Wihantara I Dewa Gede Hariwisana Andjar Pudji Sari Luthfiyah Vijay Anant Athavale |
author_sort | Arga Wihantara |
collection | DOAJ |
description | Heart Rate Variability or heart rate in humans is used to monitor the heart rate in humans, the function of the heart rate monitor is to monitor the human heart rate. The purpose of making this tool is to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be learned by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study uses a raspberry pi 3B as a microcontroller as a data processor that is obtained from the ECG module. From this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient has the best value as data processing that helps for heart rate readings with an error value of 0.531%, HRV readings of 0.005 in comparison with phantom tools and a standard deviation of 0.039. The advantage of this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is that there is a delay in running the program, there is no display in the form of a signal in real time. |
first_indexed | 2024-03-13T01:11:06Z |
format | Article |
id | doaj.art-cf305e1691f042bda2948570388e3f77 |
institution | Directory Open Access Journal |
issn | 2656-8624 |
language | English |
last_indexed | 2024-03-13T01:11:06Z |
publishDate | 2022-11-01 |
publisher | Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya |
record_format | Article |
series | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
spelling | doaj.art-cf305e1691f042bda2948570388e3f772023-07-05T22:14:31ZengJurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes SurabayaIndonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics2656-86242022-11-014415315910.35882/ijeeemi.v4i4.236236QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet TransformArga Wihantara0I Dewa Gede Hariwisana1Andjar Pudji2Sari Luthfiyah3Vijay Anant Athavale4Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, IndonesiaDepartment of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, IndonesiaDepartment of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, IndonesiaDepartment of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, IndonesiaWalchand Institute of Technology, Solapur, INDIAHeart Rate Variability or heart rate in humans is used to monitor the heart rate in humans, the function of the heart rate monitor is to monitor the human heart rate. The purpose of making this tool is to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be learned by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study uses a raspberry pi 3B as a microcontroller as a data processor that is obtained from the ECG module. From this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient has the best value as data processing that helps for heart rate readings with an error value of 0.531%, HRV readings of 0.005 in comparison with phantom tools and a standard deviation of 0.039. The advantage of this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is that there is a delay in running the program, there is no display in the form of a signal in real time.http://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/236heart rate variability, discrete wavelet tranform, decomposition |
spellingShingle | Arga Wihantara I Dewa Gede Hariwisana Andjar Pudji Sari Luthfiyah Vijay Anant Athavale QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics heart rate variability, discrete wavelet tranform, decomposition |
title | QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform |
title_full | QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform |
title_fullStr | QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform |
title_full_unstemmed | QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform |
title_short | QRS Complex Detection On Heart Rate Variability Reading Using Discrete Wavelet Transform |
title_sort | qrs complex detection on heart rate variability reading using discrete wavelet transform |
topic | heart rate variability, discrete wavelet tranform, decomposition |
url | http://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/236 |
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