A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar
The vital sign monitoring through Impulse Radio Ultra-Wide Band (IR-UWB) radar provides continuous assessment of a patient’s respiration and heart rates in a non-invasive manner. In this paper, IR UWB radar is used for monitoring respiration and the human heart rate. The breathing and heart rate fre...
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doaj-b1086466300a4099a0a491400537cf302020-11-24T21:06:19ZengMDPI AGSensors1424-82202017-02-0117229010.3390/s17020290s17020290A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB RadarFaheem Khan0Sung Ho Cho1Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, 133-791 Seoul, KoreaDepartment of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, 133-791 Seoul, KoreaThe vital sign monitoring through Impulse Radio Ultra-Wide Band (IR-UWB) radar provides continuous assessment of a patient’s respiration and heart rates in a non-invasive manner. In this paper, IR UWB radar is used for monitoring respiration and the human heart rate. The breathing and heart rate frequencies are extracted from the signal reflected from the human body. A Kalman filter is applied to reduce the measurement noise from the vital signal. An algorithm is presented to separate the heart rate signal from the breathing harmonics. An auto-correlation based technique is applied for detecting random body movements (RBM) during the measurement process. Experiments were performed in different scenarios in order to show the validity of the algorithm. The vital signs were estimated for the signal reflected from the chest, as well as from the back side of the body in different experiments. The results from both scenarios are compared for respiration and heartbeat estimation accuracy.http://www.mdpi.com/1424-8220/17/2/290vital signsIR UWB radarharmonicsalgorithmrespiration rateheart ratemotion detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Faheem Khan Sung Ho Cho |
spellingShingle |
Faheem Khan Sung Ho Cho A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar Sensors vital signs IR UWB radar harmonics algorithm respiration rate heart rate motion detection |
author_facet |
Faheem Khan Sung Ho Cho |
author_sort |
Faheem Khan |
title |
A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar |
title_short |
A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar |
title_full |
A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar |
title_fullStr |
A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar |
title_full_unstemmed |
A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar |
title_sort |
detailed algorithm for vital sign monitoring of a stationary/non-stationary human through ir-uwb radar |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2017-02-01 |
description |
The vital sign monitoring through Impulse Radio Ultra-Wide Band (IR-UWB) radar provides continuous assessment of a patient’s respiration and heart rates in a non-invasive manner. In this paper, IR UWB radar is used for monitoring respiration and the human heart rate. The breathing and heart rate frequencies are extracted from the signal reflected from the human body. A Kalman filter is applied to reduce the measurement noise from the vital signal. An algorithm is presented to separate the heart rate signal from the breathing harmonics. An auto-correlation based technique is applied for detecting random body movements (RBM) during the measurement process. Experiments were performed in different scenarios in order to show the validity of the algorithm. The vital signs were estimated for the signal reflected from the chest, as well as from the back side of the body in different experiments. The results from both scenarios are compared for respiration and heartbeat estimation accuracy. |
topic |
vital signs IR UWB radar harmonics algorithm respiration rate heart rate motion detection |
url |
http://www.mdpi.com/1424-8220/17/2/290 |
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