IEICE TRANSACTIONS on Communications
Heartbeat Interval Error Compensation Method for Low Sampling Rates Photoplethysmography Sensors
Summary :
This study presents a method for improving the heartbeat interval accuracy of photoplethysmographic (PPG) sensors at ultra-low sampling rates. Although sampling rate reduction can extend battery life, it increases the sampling error and degrades the accuracy of the extracted heartbeat interval. To overcome these drawbacks, a sampling-error compensation method is proposed in this study. The sampling error is reduced by using linear interpolation and autocorrelation based on the waveform similarity of heartbeats in PPG. Furthermore, this study introduces two-line approximation and first derivative PPG (FDPPG) to improve the waveform similarity at ultra-low sampling rates. The proposed method was evaluated using measured PPG and reference electrocardiogram (ECG) of seven subjects. The results reveal that the mean absolute error (MAE) of 4.11ms was achieved for the heartbeat intervals at a sampling rate of 10Hz, compared with 1-kHz ECG sampling. The heartbeat interval error was also evaluated based on a heart rate variability (HRV) analysis. Furthermore, the mean absolute percentage error (MAPE) of the low-frequency/high-frequency (LF/HF) components obtained from the 10-Hz PPG is shown to decrease from 38.3% to 3.3%. This error is small enough for practical HRV analysis.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E103-B No.6 pp.645-652
- Publication Date
- 2020/06/01
- Publicized
- 2019/12/25
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2019HMP0002
- Type of Manuscript
- Special Section PAPER (Special Section on Information and Communication Technology for IoT/CPS in Medicine and Healthcare)
- Category
Authors
Kento WATANABE
Kobe University
Shintaro IZUMI
Kobe University
Yuji YANO
Kobe University
Hiroshi KAWAGUCHI
Kobe University
Masahiko YOSHIMOTO
Kobe University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Kento WATANABE, Shintaro IZUMI, Yuji YANO, Hiroshi KAWAGUCHI, Masahiko YOSHIMOTO, "Heartbeat Interval Error Compensation Method for Low Sampling Rates Photoplethysmography Sensors" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 6, pp. 645-652, June 2020, doi: 10.1587/transcom.2019HMP0002.
Abstract: This study presents a method for improving the heartbeat interval accuracy of photoplethysmographic (PPG) sensors at ultra-low sampling rates. Although sampling rate reduction can extend battery life, it increases the sampling error and degrades the accuracy of the extracted heartbeat interval. To overcome these drawbacks, a sampling-error compensation method is proposed in this study. The sampling error is reduced by using linear interpolation and autocorrelation based on the waveform similarity of heartbeats in PPG. Furthermore, this study introduces two-line approximation and first derivative PPG (FDPPG) to improve the waveform similarity at ultra-low sampling rates. The proposed method was evaluated using measured PPG and reference electrocardiogram (ECG) of seven subjects. The results reveal that the mean absolute error (MAE) of 4.11ms was achieved for the heartbeat intervals at a sampling rate of 10Hz, compared with 1-kHz ECG sampling. The heartbeat interval error was also evaluated based on a heart rate variability (HRV) analysis. Furthermore, the mean absolute percentage error (MAPE) of the low-frequency/high-frequency (LF/HF) components obtained from the 10-Hz PPG is shown to decrease from 38.3% to 3.3%. This error is small enough for practical HRV analysis.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019HMP0002/_p
Copy
@ARTICLE{e103-b_6_645,
author={Kento WATANABE, Shintaro IZUMI, Yuji YANO, Hiroshi KAWAGUCHI, Masahiko YOSHIMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Heartbeat Interval Error Compensation Method for Low Sampling Rates Photoplethysmography Sensors},
year={2020},
volume={E103-B},
number={6},
pages={645-652},
abstract={This study presents a method for improving the heartbeat interval accuracy of photoplethysmographic (PPG) sensors at ultra-low sampling rates. Although sampling rate reduction can extend battery life, it increases the sampling error and degrades the accuracy of the extracted heartbeat interval. To overcome these drawbacks, a sampling-error compensation method is proposed in this study. The sampling error is reduced by using linear interpolation and autocorrelation based on the waveform similarity of heartbeats in PPG. Furthermore, this study introduces two-line approximation and first derivative PPG (FDPPG) to improve the waveform similarity at ultra-low sampling rates. The proposed method was evaluated using measured PPG and reference electrocardiogram (ECG) of seven subjects. The results reveal that the mean absolute error (MAE) of 4.11ms was achieved for the heartbeat intervals at a sampling rate of 10Hz, compared with 1-kHz ECG sampling. The heartbeat interval error was also evaluated based on a heart rate variability (HRV) analysis. Furthermore, the mean absolute percentage error (MAPE) of the low-frequency/high-frequency (LF/HF) components obtained from the 10-Hz PPG is shown to decrease from 38.3% to 3.3%. This error is small enough for practical HRV analysis.},
keywords={},
doi={10.1587/transcom.2019HMP0002},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Heartbeat Interval Error Compensation Method for Low Sampling Rates Photoplethysmography Sensors
T2 - IEICE TRANSACTIONS on Communications
SP - 645
EP - 652
AU - Kento WATANABE
AU - Shintaro IZUMI
AU - Yuji YANO
AU - Hiroshi KAWAGUCHI
AU - Masahiko YOSHIMOTO
PY - 2020
DO - 10.1587/transcom.2019HMP0002
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2020
AB - This study presents a method for improving the heartbeat interval accuracy of photoplethysmographic (PPG) sensors at ultra-low sampling rates. Although sampling rate reduction can extend battery life, it increases the sampling error and degrades the accuracy of the extracted heartbeat interval. To overcome these drawbacks, a sampling-error compensation method is proposed in this study. The sampling error is reduced by using linear interpolation and autocorrelation based on the waveform similarity of heartbeats in PPG. Furthermore, this study introduces two-line approximation and first derivative PPG (FDPPG) to improve the waveform similarity at ultra-low sampling rates. The proposed method was evaluated using measured PPG and reference electrocardiogram (ECG) of seven subjects. The results reveal that the mean absolute error (MAE) of 4.11ms was achieved for the heartbeat intervals at a sampling rate of 10Hz, compared with 1-kHz ECG sampling. The heartbeat interval error was also evaluated based on a heart rate variability (HRV) analysis. Furthermore, the mean absolute percentage error (MAPE) of the low-frequency/high-frequency (LF/HF) components obtained from the 10-Hz PPG is shown to decrease from 38.3% to 3.3%. This error is small enough for practical HRV analysis.
ER -
English
