Paper Info
Title
A Heartbeat Interval Error Compensation Method Using Multiple Linear Regression for Photoplethysmography Sensors
Abstract
This paper presents an error compensation method for heartbeat intervals measured by a photoplethysmography (PPG) sensor. The objective of this work is to improve the accuracy of heart rate variability analysis (HRVA) using PPG, because a peak-to-peak interval (PPI) of the PPG has an error when compared with R to R interval (RRI) of electrocardiograph (ECG). This error is caused by several factors such as blood pressure fluctuation, body motion artifact, and body position. The proposed method predicts RRI using multiple regression analysis with time series of PPIs. The predicted RRI using the proposed method can also reduce the error of frequency characteristics, which are used for HRVA. Evaluation results with three subjects show that the proposed method achieved about 30% mean absolute error (MAE) reduction for predicted RRI and 17% mean absolute percentage error (MAPE) of LF/HF index of HRV analysis.
Year
DOI
Venue
2019
10.1109/BIOCAS.2019.8918719
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Keywords
Field
DocType
heart rate variability analysis,heartbeat interval,multiple linear regression,Photoplethysmography (PPG)
Mean absolute percentage error,Time series,Computer vision,Heartbeat,Regression analysis,Heart rate variability,Photoplethysmogram,Computer science,Measurement uncertainty,Artificial intelligence,Statistics,Linear regression
Conference
ISSN
ISBN
Citations 
2163-4025
978-1-5090-0618-2
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Seiya Yoshida100.34
Shintaro Izumi28231.56
Yuki Nishikawa301.01
Kento Watanabe400.34
Kana Sasai500.34
Yuji Yano612.38
Hiroshi Kawaguchi700.68
masahiko yoshimoto811734.06