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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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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. |
format | Online Article Text |
id | pubmed-3545562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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