Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems

Yeni Wahyu Siswanti; Muhammad Yazid; Rachmad Setiawan

doi:10.1109/CENIM51130.2020.9297903

Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems

Yeni Wahyu Siswanti
, Muhammad Yazid
, Rachmad Setiawan

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

One of the dangerous cardiovascular disease is arrhythmia, which is asymptomatic, making it difficult for doctors to detect it. Therefore, the use of a portable ECG can help doctors because it can be used for a longer period of time. The use of lightweight computing will also help in increasing battery life and reducing memory requirement. In this study we tested 10 low computation algorithms based on Amplitude and First Derivative, First Derivative, First and Second Derivative, and Digital Filter. From the test results it was found that in general, the Pan and Tompkins algorithm is the best because besides it gets 100% for F1 Measure, sensitivity, and positive predictivity on testing without noise, it is also significantly more resistant to noise than other algorithms, with a value of F1 Measure 98%, sensitivity 100%, and positive predictivity 97% in tests using signals with noises.

Original language	English
Title of host publication	CENIM 2020 - Proceeding
Subtitle of host publication	International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	58-63
Number of pages	6
ISBN (Electronic)	9781728182834
DOIs	https://doi.org/10.1109/CENIM51130.2020.9297903
Publication status	Published - 17 Nov 2020
Event	2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 - Virtual, Surabaya, Indonesia Duration: 17 Nov 2020 → 18 Nov 2020

Publication series

Name	CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

Conference

Conference	2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Country/Territory	Indonesia
City	Virtual, Surabaya
Period	17/11/20 → 18/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Arryhthmia
ECG Portable
Embedded System
Microcontroller
QRS Detection Algorithm

Access to Document

10.1109/CENIM51130.2020.9297903

Cite this

Siswanti, Y. W., Yazid, M., & Setiawan, R. (2020). Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems. In CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020 (pp. 58-63). Article 9297903 (CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM51130.2020.9297903

Siswanti, Yeni Wahyu ; Yazid, Muhammad ; Setiawan, Rachmad. / Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems. CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 58-63 (CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020).

@inproceedings{972c16cc11914357b273a975cd423beb,

title = "Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems",

abstract = "One of the dangerous cardiovascular disease is arrhythmia, which is asymptomatic, making it difficult for doctors to detect it. Therefore, the use of a portable ECG can help doctors because it can be used for a longer period of time. The use of lightweight computing will also help in increasing battery life and reducing memory requirement. In this study we tested 10 low computation algorithms based on Amplitude and First Derivative, First Derivative, First and Second Derivative, and Digital Filter. From the test results it was found that in general, the Pan and Tompkins algorithm is the best because besides it gets 100\% for F1 Measure, sensitivity, and positive predictivity on testing without noise, it is also significantly more resistant to noise than other algorithms, with a value of F1 Measure 98\%, sensitivity 100\%, and positive predictivity 97\% in tests using signals with noises.",

keywords = "Arryhthmia, ECG Portable, Embedded System, Microcontroller, QRS Detection Algorithm",

author = "Siswanti, \{Yeni Wahyu\} and Muhammad Yazid and Rachmad Setiawan",

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year = "2020",

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doi = "10.1109/CENIM51130.2020.9297903",

language = "English",

series = "CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020",

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Siswanti, YW, Yazid, M & Setiawan, R 2020, Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems. in CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020., 9297903, CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020, Institute of Electrical and Electronics Engineers Inc., pp. 58-63, 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020, Virtual, Surabaya, Indonesia, 17/11/20. https://doi.org/10.1109/CENIM51130.2020.9297903

Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems. / Siswanti, Yeni Wahyu; Yazid, Muhammad ; Setiawan, Rachmad.
CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 58-63 9297903 (CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems

AU - Siswanti, Yeni Wahyu

AU - Yazid, Muhammad

AU - Setiawan, Rachmad

PY - 2020/11/17

Y1 - 2020/11/17

N2 - One of the dangerous cardiovascular disease is arrhythmia, which is asymptomatic, making it difficult for doctors to detect it. Therefore, the use of a portable ECG can help doctors because it can be used for a longer period of time. The use of lightweight computing will also help in increasing battery life and reducing memory requirement. In this study we tested 10 low computation algorithms based on Amplitude and First Derivative, First Derivative, First and Second Derivative, and Digital Filter. From the test results it was found that in general, the Pan and Tompkins algorithm is the best because besides it gets 100% for F1 Measure, sensitivity, and positive predictivity on testing without noise, it is also significantly more resistant to noise than other algorithms, with a value of F1 Measure 98%, sensitivity 100%, and positive predictivity 97% in tests using signals with noises.

AB - One of the dangerous cardiovascular disease is arrhythmia, which is asymptomatic, making it difficult for doctors to detect it. Therefore, the use of a portable ECG can help doctors because it can be used for a longer period of time. The use of lightweight computing will also help in increasing battery life and reducing memory requirement. In this study we tested 10 low computation algorithms based on Amplitude and First Derivative, First Derivative, First and Second Derivative, and Digital Filter. From the test results it was found that in general, the Pan and Tompkins algorithm is the best because besides it gets 100% for F1 Measure, sensitivity, and positive predictivity on testing without noise, it is also significantly more resistant to noise than other algorithms, with a value of F1 Measure 98%, sensitivity 100%, and positive predictivity 97% in tests using signals with noises.

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KW - ECG Portable

KW - Embedded System

KW - Microcontroller

KW - QRS Detection Algorithm

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M3 - Conference contribution

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T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

SP - 58

EP - 63

BT - CENIM 2020 - Proceeding

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Siswanti YW, Yazid M , Setiawan R. Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems. In CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 58-63. 9297903. (CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020). doi: 10.1109/CENIM51130.2020.9297903

Comparison of 10 QRS Detection Methods for Heart Beat Detection on Portable ECG Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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