Estimating heart rate using wrist-type Photoplethysmography and acceleration sensor while running

This study provides Heart Rate (HR) Estimation using wrist-type Photoplethysmogpraphy (PPG) sensor while the subject is running. We propose the algorithm to estimate heart rate for the wrist-type PPG sensor. Since body motion artifacts easily affect the arm portion, our method in this study also use...

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Bibliographic Details
Published in2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2012; pp. 2901 - 2904
Main Authors Fukushima, H., Kawanaka, H., Bhuiyan, M. S., Oguri, K.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2012
Subjects
Acceleration
Accelerometers
Algorithms
Electrocardiography
Electrocardiography - methods
Estimation
Frequency estimation
Heart rate
Heart Rate - physiology
Humans
Photoplethysmography - methods
Reliability
Running - physiology
Wrist
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Summary:This study provides Heart Rate (HR) Estimation using wrist-type Photoplethysmogpraphy (PPG) sensor while the subject is running. We propose the algorithm to estimate heart rate for the wrist-type PPG sensor. Since body motion artifacts easily affect the arm portion, our method in this study also uses accelerometer built in the wrist-type sensor to improve the accuracy of heart rate estimation. Our method has two components. One is rejecting artifacts with the power spectrum's difference between PPG and acceleration obtained by frequency analysis. The other is the reliability of heart rate estimation, defined by the acceleration. Experimental results while our test subjects were running came closer to the holter Electrocardiogram (ECG) in high accuracy (r = 0.98, SD = 8.7 bpm). We, therefore, report the heart rate estimation method which has a higher degree of usability compared to existing methods using ECG.
ISBN:1424441196
9781424441198
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2012.6346570