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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Main Authors: Arga Wihantara, I Dewa Gede Hariwisana, Andjar Pudji, Sari Luthfiyah, Vijay Anant Athavale
Format: Article
Language:English
Published: Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya 2022-11-01
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.
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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
work_keys_str_mv AT argawihantara qrscomplexdetectiononheartratevariabilityreadingusingdiscretewavelettransform
AT idewagedehariwisana qrscomplexdetectiononheartratevariabilityreadingusingdiscretewavelettransform
AT andjarpudji qrscomplexdetectiononheartratevariabilityreadingusingdiscretewavelettransform
AT sariluthfiyah qrscomplexdetectiononheartratevariabilityreadingusingdiscretewavelettransform
AT vijayanantathavale qrscomplexdetectiononheartratevariabilityreadingusingdiscretewavelettransform