research-article

Non-contact Determination of Heart Rate Variability Using 24 GHz Doppler Radar

Authors:

Jennifer C.Dela Cruz,

Jonathan C. Ibera,

Paola Marie R. Cabarios,

Julius Brice P.Dela CruzAuthors Info & Claims

ICBET '21: Proceedings of the 2021 11th International Conference on Biomedical Engineering and Technology

Pages 80 - 86

https://doi.org/10.1145/3460238.3460251

Published: 20 July 2021 Publication History

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Abstract

Heart Rate Variability (HRV) has become a popular medical interest as it determines the state of one's health, fitness, recovery, potential diseases, and even mental stress. HRV parameters are obtained with the use of beat-to-beat intervals (BBI). Conventional HRV monitoring systems such as ECG and PPG are contact sensors which has several disadvantages such as limited mobility, discomfort, skin irritation, and inability to measure through clothes or other obstacles. This study uses non-contact method of measurement that can possibly overcome these problems. This system uses a 24 GHz doppler radar for detection of chest wall displacement of the subject together with multiple signal processing techniques to extract the BBIs. With this, the quantitative values necessary for HRV analysis can be obtained to aid medical health personnel for diagnosis. Moreover, the system has a low mean relative error (MRE) and shows a high level of agreement between the extracted radar and reference PPG module data. Hence, the accuracy of this system shows its capability of determining HRV parameters using a non-contact method.

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Biró ASzilágyi SSzilágyi LMartín-Martín JCuesta-Vargas A(2023)Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D AccelerometerSensors10.3390/s2307359523:7(3595)Online publication date: 30-Mar-2023
https://doi.org/10.3390/s23073595
Ahmed SLee YLim YCho SPark HCho S(2022)Noncontact assessment for fatigue based on heart rate variability using IR-UWB radarScientific Reports10.1038/s41598-022-18498-w12:1Online publication date: 20-Aug-2022
https://doi.org/10.1038/s41598-022-18498-w
Ablao LTupaz ZDela Cruz JIbera J(2021)Machine Learning Sleep Phase Monitoring using ECG and EMG2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)10.1109/ICSET53708.2021.9612546(320-325)Online publication date: 6-Nov-2021
https://doi.org/10.1109/ICSET53708.2021.9612546
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ICBET '21: Proceedings of the 2021 11th International Conference on Biomedical Engineering and Technology

March 2021

200 pages

ISBN:9781450387897

DOI:10.1145/3460238

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 20 July 2021

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ICBET '21: 2021 11th International Conference on Biomedical Engineering and Technology

March 17 - 20, 2021

Tokyo, Japan

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Biró ASzilágyi SSzilágyi LMartín-Martín JCuesta-Vargas A(2023)Machine Learning on Prediction of Relative Physical Activity Intensity Using Medical Radar Sensor and 3D AccelerometerSensors10.3390/s2307359523:7(3595)Online publication date: 30-Mar-2023
https://doi.org/10.3390/s23073595
Ahmed SLee YLim YCho SPark HCho S(2022)Noncontact assessment for fatigue based on heart rate variability using IR-UWB radarScientific Reports10.1038/s41598-022-18498-w12:1Online publication date: 20-Aug-2022
https://doi.org/10.1038/s41598-022-18498-w
Ablao LTupaz ZDela Cruz JIbera J(2021)Machine Learning Sleep Phase Monitoring using ECG and EMG2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)10.1109/ICSET53708.2021.9612546(320-325)Online publication date: 6-Nov-2021
https://doi.org/10.1109/ICSET53708.2021.9612546
Dela Cruz JPangan MWong T(2021)Non-Contact Heart Rate and Respiratory Rate Monitoring System using Histogram of Oriented Gradients2021 5th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)10.1109/ELTICOM53303.2021.9590137(122-127)Online publication date: 15-Sep-2021
https://doi.org/10.1109/ELTICOM53303.2021.9590137

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Nocturnal evolution of heart rate variability indices in sleep apnea

Complex Analysis of Heart Rate on Obstructive Sleep Apnea using Fuzzy Approximate Entropy

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