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开发支持可穿戴系统的多个传感器的呼吸感应体积描记模块。

Development of a respiratory inductive plethysmography module supporting multiple sensors for wearable systems.

机构信息

Department of Biomedical Engineering, Chinese PLA (People's Liberation Army) General Hospital, 28 Fuxing Road, Haidian District, Beijing 100853, China.

出版信息

Sensors (Basel). 2012 Sep 27;12(10):13167-84. doi: 10.3390/s121013167.

Abstract

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.

摘要

在本文中,我们提出了一个 RIP 模块,具有支持多个感应传感器、无变频 LC 振荡器、低功耗和自动增益调整每个通道的特点。基于不使用变频 LC 振荡器的电感测量方法,我们进一步将脉冲幅度调制和时分复用方案集成到一个模块中,以支持多个 RIP 传感器。所有感应传感器都由高频电流周期性地瞬间激励,并且在向其供电时测量每个传感器的电感。为了提高 RIP 传感器的幅度响应,我们使用匹配电容器优化感应单元,每个 RIP 传感器与一个匹配电容器并联形成一个频率选择滤波器。对截面积的输出线性度和呼吸量估计精度的性能测试表明具有良好的线性度和准确的肺量估计。带有两个传感器的这个新 RIP 模块的功耗非常低。运动期间呼吸测量的性能也得到了评估。这个 RIP 模块特别适合具有多个 RIP 传感器的可穿戴系统,用于长期呼吸监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bff/3545562/a38e861082c0/sensors-12-13167f1.jpg

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