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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/12/10/13167 |
| _version_ | 1818039532345360384 |
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| author | Zhengbo Zhang Jiewen Zheng Hao Wu Weidong Wang Buqing Wang Hongyun Liu |
| author_facet | Zhengbo Zhang Jiewen Zheng Hao Wu Weidong Wang Buqing Wang Hongyun Liu |
| author_sort | Zhengbo Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T08:00:08Z |
| format | Article |
| id | doaj.art-dde76a3540a449c19e91c89626d71cfe |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T08:00:08Z |
| publishDate | 2012-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dde76a3540a449c19e91c89626d71cfe2022-12-22T01:56:49ZengMDPI AGSensors1424-82202012-09-011210131671318410.3390/s121013167Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable SystemsZhengbo ZhangJiewen ZhengHao WuWeidong WangBuqing WangHongyun LiuIn 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.http://www.mdpi.com/1424-8220/12/10/13167respiratory inductive plethysmographypulse amplitude modulationtime-division multiplexing schemeLC oscillatorsensing unitmultiple sensorswearable system |
| spellingShingle | Zhengbo Zhang Jiewen Zheng Hao Wu Weidong Wang Buqing Wang Hongyun Liu Development of a Respiratory Inductive Plethysmography Module Supporting Multiple Sensors for Wearable Systems Sensors respiratory inductive plethysmography pulse amplitude modulation time-division multiplexing scheme LC oscillator sensing unit multiple sensors wearable system |
| 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 | respiratory inductive plethysmography pulse amplitude modulation time-division multiplexing scheme LC oscillator sensing unit multiple sensors wearable system |
| url | http://www.mdpi.com/1424-8220/12/10/13167 |
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