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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Main Authors: Faheem Khan, Sung Ho Cho
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/2/290
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spelling 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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