Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter
1
Biomedical Engineering Division, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
2
Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(18), 3997; https://doi.org/10.3390/s19183997
Received: 10 August 2019
/
Revised: 8 September 2019
/
Accepted: 11 September 2019
/
Published: 16 September 2019
(This article belongs to the Special Issue Wearable Sensors in Healthcare: Methods, Algorithms, Applications)
A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.
View Full-Text
Keywords:
electrocardiogram (ECG); R-peak detection; triangle template matching; moving average filter; low resource complexity
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Nguyen, T.; Qin, X.; Dinh, A.; Bui, F. Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter. Sensors 2019, 19, 3997. https://doi.org/10.3390/s19183997
AMA Style
Nguyen T, Qin X, Dinh A, Bui F. Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter. Sensors. 2019; 19(18):3997. https://doi.org/10.3390/s19183997
Chicago/Turabian StyleNguyen, Tam, Xiaoli Qin, Anh Dinh, and Francis Bui. 2019. "Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter" Sensors 19, no. 18: 3997. https://doi.org/10.3390/s19183997
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
