Investigation of an Ultra Wideband Noise Sensor for Health Monitoring

Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low c...

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Main Authors: Xuezhi Zeng, Joakim Robakowski, Mikael Persson, Albert Monteith, Andreas Fhager
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/4/1034
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spelling doaj-199adf7afbae40ae97a8185603fdc0c62020-11-25T01:45:51ZengMDPI AGSensors1424-82202020-02-01204103410.3390/s20041034s20041034Investigation of an Ultra Wideband Noise Sensor for Health MonitoringXuezhi Zeng0Joakim Robakowski1Mikael Persson2Albert Monteith3Andreas Fhager4Department of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, SwedenDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, SwedenDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, SwedenDepartment of Space, Earth and Environment, Chalmers University of Technology, SE412-96 Gothenburg, SwedenDepartment of Electrical Engineering, Chalmers University of Technology, SE412-96 Gothenburg, SwedenQuick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.https://www.mdpi.com/1424-8220/20/4/1034ultra widebandtime domainmicrowavebiomedical applicationsvital sign
collection DOAJ
language English
format Article
sources DOAJ
author Xuezhi Zeng
Joakim Robakowski
Mikael Persson
Albert Monteith
Andreas Fhager
spellingShingle Xuezhi Zeng
Joakim Robakowski
Mikael Persson
Albert Monteith
Andreas Fhager
Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
Sensors
ultra wideband
time domain
microwave
biomedical applications
vital sign
author_facet Xuezhi Zeng
Joakim Robakowski
Mikael Persson
Albert Monteith
Andreas Fhager
author_sort Xuezhi Zeng
title Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_short Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_full Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_fullStr Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_full_unstemmed Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_sort investigation of an ultra wideband noise sensor for health monitoring
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-02-01
description Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.
topic ultra wideband
time domain
microwave
biomedical applications
vital sign
url https://www.mdpi.com/1424-8220/20/4/1034
work_keys_str_mv AT xuezhizeng investigationofanultrawidebandnoisesensorforhealthmonitoring
AT joakimrobakowski investigationofanultrawidebandnoisesensorforhealthmonitoring
AT mikaelpersson investigationofanultrawidebandnoisesensorforhealthmonitoring
AT albertmonteith investigationofanultrawidebandnoisesensorforhealthmonitoring
AT andreasfhager investigationofanultrawidebandnoisesensorforhealthmonitoring
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