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http://dx.doi.org/10.5573/ieie.2015.52.8.018

Heart Rate Monitoring Using Motion Artifact Modeling with MISO Filters  

Kim, Sunho (School of Electronic Engineering, Soongsil University)
Lee, Jungsub (School of Electronic Engineering, Soongsil University)
Kang, Hyunil (School of Electronic Engineering, Soongsil University)
Ohn, Baeksan (School of Electronic Engineering, Soongsil University)
Baek, Gyehyun (School of Electronic Engineering, Soongsil University)
Jung, Minkyu (School of Electronic Engineering, Soongsil University)
Im, Sungbin (School of Electronic Engineering, Soongsil University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.8, 2015 , pp. 18-26 More about this Journal
Abstract
Measuring the heart rate during exercise is important to properly control the amount of exercise. With the recent advent of smart device usage, there is a dramatic increase in interest in devices for the real-time measurement of the heart rate during exercise. During intensive exercise, accurate heart rate estimation from wrist-type photoplethysmography (PPG) signals is a very difficult problem due to motion artifact (MA). In this study, we propose an efficient algorithm for an accurate estimation of the heart rate from wrist-type PPG signals. For the twelve data sets, the proposed algorithm achieves the average absolute error of 1.38 beat per minute (BPM) and the Pearson correlation between the estimates and the ground-truth of heart rate was 0.9922. The proposed algorithm presents the strengths in an accurate estimation together with a fast computation speed, which is attractive in application to wearable devices.
Keywords
motion artifact; heart rate monitoring; wearable device; heart rate estimation; MISO filter; acceleration data;
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