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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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Autores principales: Zeng, Xuezhi, Robakowski, Joakim, Persson, Mikael, Monteith, Albert, Fhager, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071039/
https://www.ncbi.nlm.nih.gov/pubmed/32075120
http://dx.doi.org/10.3390/s20041034
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author Zeng, Xuezhi
Robakowski, Joakim
Persson, Mikael
Monteith, Albert
Fhager, Andreas
author_facet Zeng, Xuezhi
Robakowski, Joakim
Persson, Mikael
Monteith, Albert
Fhager, Andreas
author_sort Zeng, Xuezhi
collection PubMed
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.
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spelling pubmed-70710392020-03-19 Investigation of an Ultra Wideband Noise Sensor for Health Monitoring Zeng, Xuezhi Robakowski, Joakim Persson, Mikael Monteith, Albert Fhager, Andreas Sensors (Basel) Article 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. MDPI 2020-02-14 /pmc/articles/PMC7071039/ /pubmed/32075120 http://dx.doi.org/10.3390/s20041034 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zeng, Xuezhi
Robakowski, Joakim
Persson, Mikael
Monteith, Albert
Fhager, Andreas
Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title 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_short Investigation of an Ultra Wideband Noise Sensor for Health Monitoring
title_sort investigation of an ultra wideband noise sensor for health monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071039/
https://www.ncbi.nlm.nih.gov/pubmed/32075120
http://dx.doi.org/10.3390/s20041034
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