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http://dx.doi.org/10.14372/IEMEK.2022.17.1.25

Non-contact Heart Rate Monitoring using IR-UWB Radar and Lomb-Scargle Periodogram  

Byun, Sang-Seon (Catholic University of Pusan)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.17, no.1, 2022 , pp. 25-32 More about this Journal
Abstract
IR-UWB radar has been regarded as the most promising technology for non-contact respiration and heartbeat monitoring because of its ability of detecting slight motion even in submillimeter range. Measuring heart rate is most challenging since the chest movement by heartbeat is quite subtle and easily interfered with by a random body motion or background noise. Additionally, periodic sampling can be limited by the performance of computer that handles the radar signals. In this paper, we deploy Lomb-Scargle periodogram method that estimates heart rate even with irregularly sampled data and uneven signal amplitude. Lomb-Scargle periodogram is known as a method for finding periodicity in irregularly-sampled and noisy data set. We also implement a motion detection scheme in order to make the heart rate estimation pause when a random motion is detected. Our scheme is implemented using Novelda's X4M03 radar development kit and its corresponding drivers and Python packages. Experimental results show that the estimation with Lomb-Scargle periodogram yield more accurate heart rate than the method of measuring peak-to-peak distance.
Keywords
IR-UWB radar; Non-contact heart rate monitoring; Lomb-Scargle periodogram; Peak detection;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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