DocumentCode
3752174
Title
Accuracy comparison between two microcontroller-embedded R-wave detection methods for heart-rate variability analysis
Author
Toshitaka Yamakawa;Ryunosuke Kinoshita;Koichi Fujiwara;Manabu Kano;Miho Miyajima;Tadashi Sakata;Yuichi Ueda
Author_Institution
Dept. of Computer Science and Electrical Eng., Graduate School of Science and Technology, Kumamoto University, Japan
fYear
2015
Firstpage
1010
Lastpage
1013
Abstract
Analysis of heart rate variability, which is calculated using the R-R intervals (RRI) of electrocardiogram (ECG), provides beneficial information for both clinical and healthcare diagnoses. To achieve the required accuracy for RRI measurement using the wearable telemetery system, two R-wave detection methods (one based on voltage threshold and another that adopts differential peak detection) were developed for implementation in a low-power microcontroller integrated into a wearable telemeter. Accuracy of these methods were compared using a clinical-grade ECG measurement system to evaluate the systematic errors of the proposed methods by correlation and Bland-Altman analyses.
Keywords
"Electrocardiography","Rail to rail inputs","Heart rate variability","Microcontrollers","Measurement uncertainty","Threshold voltage","Monitoring"
Publisher
ieee
Conference_Titel
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
Type
conf
DOI
10.1109/APSIPA.2015.7415423
Filename
7415423
Link To Document