@article{ART003266134},
author={Sejong Lee and Young-Bok Cho},
title={Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={11},
pages={269-275}
TY - JOUR
AU - Sejong Lee
AU - Young-Bok Cho
TI - Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 11
PB - The Korean Society Of Computer And Information
SP - 269
EP - 275
SN - 1598-849X
AB - The recent popularization of wearable devices such as smartwatches has enabled users to monitor various biometric data, such as heart rate and oxygen saturation, in real time. However, existing commercial devices have limitations such as low measurement accuracy, errors occurring under certain conditions, and difficulty in clearly identifying error areas. Therefore, in this study, we developed a highly accurate biometric signal measurement device based on a PPG sensor to improve these issues.
Deep learning was used to classify PPG signals, and a signal processing algorithm was applied to calculate heart rate. Experimental results showed that the deep learning prediction accuracy was 97.46%, and the heart rate measurements showed similar trends to those of commercial wearable devices, confirming high reliability.
KW - Artificial Intelligence;Personal Information Protection;Biosignals;Heart rate;;Pulse-peak detection
DO -
UR -
ER -
Sejong Lee and Young-Bok Cho. (2025). Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection. Journal of The Korea Society of Computer and Information, 30(11), 269-275.
Sejong Lee and Young-Bok Cho. 2025, "Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection", Journal of The Korea Society of Computer and Information, vol.30, no.11 pp.269-275.
Sejong Lee, Young-Bok Cho "Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection" Journal of The Korea Society of Computer and Information 30.11 pp.269-275 (2025) : 269.
Sejong Lee, Young-Bok Cho. Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection. 2025; 30(11), 269-275.
Sejong Lee and Young-Bok Cho. "Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection" Journal of The Korea Society of Computer and Information 30, no.11 (2025) : 269-275.
Sejong Lee; Young-Bok Cho. Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection. Journal of The Korea Society of Computer and Information, 30(11), 269-275.
Sejong Lee; Young-Bok Cho. Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection. Journal of The Korea Society of Computer and Information. 2025; 30(11) 269-275.
Sejong Lee, Young-Bok Cho. Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection. 2025; 30(11), 269-275.
Sejong Lee and Young-Bok Cho. "Hybrid Heart Rate Measurement Combining Deep Learning PPG Classification and Peak Detection" Journal of The Korea Society of Computer and Information 30, no.11 (2025) : 269-275.
