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
N1 - Publisher Copyright:
© 2020 IEEE.
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.
KW - Arryhthmia
KW - ECG Portable
KW - Embedded System
KW - Microcontroller
KW - QRS Detection Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85099649271&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9297903
DO - 10.1109/CENIM51130.2020.9297903
M3 - Conference contribution
AN - SCOPUS:85099649271
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.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -
