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Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems

In this paper, we present an RIP module with the features of supporting multiple inductive sensors, no variable frequency LC oscillator, low power consumption, and automatic gain adjustment for each channel. Based on the method of inductance measurement without using a variable frequency LC oscillat...

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Detalles Bibliográficos
Autores principales: Zhang, Zhengbo, Zheng, Jiewen, Wu, Hao, Wang, Weidong, Wang, Buqing, Liu, Hongyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545562/
https://www.ncbi.nlm.nih.gov/pubmed/23201991
http://dx.doi.org/10.3390/s121013167
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author Zhang, Zhengbo
Zheng, Jiewen
Wu, Hao
Wang, Weidong
Wang, Buqing
Liu, Hongyun
author_facet Zhang, Zhengbo
Zheng, Jiewen
Wu, Hao
Wang, Weidong
Wang, Buqing
Liu, Hongyun
author_sort Zhang, Zhengbo
collection PubMed
description In this paper, we present an RIP module with the features of supporting multiple inductive sensors, no variable frequency LC oscillator, low power consumption, and automatic gain adjustment for each channel. Based on the method of inductance measurement without using a variable frequency LC oscillator, we further integrate pulse amplitude modulation and time division multiplexing scheme into a module to support multiple RIP sensors. All inductive sensors are excited by a high-frequency electric current periodically and momentarily, and the inductance of each sensor is measured during the time when the electric current is fed to it. To improve the amplitude response of the RIP sensors, we optimize the sensing unit with a matching capacitor parallel with each RIP sensor forming a frequency selection filter. Performance tests on the linearity of the output with cross-sectional area and the accuracy of respiratory volume estimation demonstrate good linearity and accurate lung volume estimation. Power consumption of this new RIP module with two sensors is very low. The performance of respiration measurement during movement is also evaluated. This RIP module is especially desirable for wearable systems with multiple RIP sensors for long-term respiration monitoring.
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spelling pubmed-35455622013-01-23 Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems Zhang, Zhengbo Zheng, Jiewen Wu, Hao Wang, Weidong Wang, Buqing Liu, Hongyun Sensors (Basel) Article In this paper, we present an RIP module with the features of supporting multiple inductive sensors, no variable frequency LC oscillator, low power consumption, and automatic gain adjustment for each channel. Based on the method of inductance measurement without using a variable frequency LC oscillator, we further integrate pulse amplitude modulation and time division multiplexing scheme into a module to support multiple RIP sensors. All inductive sensors are excited by a high-frequency electric current periodically and momentarily, and the inductance of each sensor is measured during the time when the electric current is fed to it. To improve the amplitude response of the RIP sensors, we optimize the sensing unit with a matching capacitor parallel with each RIP sensor forming a frequency selection filter. Performance tests on the linearity of the output with cross-sectional area and the accuracy of respiratory volume estimation demonstrate good linearity and accurate lung volume estimation. Power consumption of this new RIP module with two sensors is very low. The performance of respiration measurement during movement is also evaluated. This RIP module is especially desirable for wearable systems with multiple RIP sensors for long-term respiration monitoring. Molecular Diversity Preservation International (MDPI) 2012-09-27 /pmc/articles/PMC3545562/ /pubmed/23201991 http://dx.doi.org/10.3390/s121013167 Text en © 2012 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Zhang, Zhengbo
Zheng, Jiewen
Wu, Hao
Wang, Weidong
Wang, Buqing
Liu, Hongyun
Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title_full Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title_fullStr Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title_full_unstemmed Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title_short Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems
title_sort development of a respiratory inductive plethysmography module supporting multiple sensors for wearable systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545562/
https://www.ncbi.nlm.nih.gov/pubmed/23201991
http://dx.doi.org/10.3390/s121013167
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