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A Low-Power Wireless Piezoelectric Sensor-Based Respiration Monitoring System Realized in CMOS Process

机译:基于CMOS工艺的低功耗无线压电传感器呼吸监测系统

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This paper presents a methodology of monitoring respiration pattern using piezoelectric transducer incorporating CMOS integrated circuits for signal processing and data transmission. As a proof of concept, the system has been tested by placing electrodes on human chest using adhesive hydrogel to detect the pulsatile vibration due to respiration. The system can be used either as a wearable device itself or alternatively can be attached to a jacket or a chest belt. The front-end transducer is a piezoelectric material-based sensor, which is comprised of a ferroelectric polymer named polyvinylidene-fluoride (PVDF). PVDF is also biocompatible, which makes the sensor suitable to be used as a wearable device. The charge produced by the sensor is converted to a proportional voltage signal with the help of a charge amplifier designed in a standard 130-nm CMOS process with eight metal and one poly layer. The analog voltage signal acquired from the charge amplifier is then converted into a digital signal using a reconfigurable pipelined analog-to-digital converter for ease of transmission. An impulse-radio ultra-wideband transmitter operating in the frequency range of 3.1–5 GHz is designed for wireless transmission of the data. The smaller footprint, lighter weight, wireless telemetry, and low-cost material along with the low-power integrated CMOS circuitry for signal processing and data transmission make the proposed system an attractive choice for stable respiration monitoring system.
机译:本文提出了一种使用结合了CMOS集成电路的压电换能器进行信号处理和数据传输的呼吸模式监测方法。作为概念验证,已经通过使用粘性水凝胶将电极放在人的胸部上以检测由于呼吸引起的搏动振动来测试该系统。该系统既可以用作可穿戴设备,也可以连接至夹克或胸带。前端换能器是基于压电材料的传感器,由称为聚偏二氟乙烯(PVDF)的铁电聚合物组成。 PVDF也具有生物相容性,这使得该传感器适合用作可穿戴设备。借助电荷放大器将传感器产生的电荷转换为比例电压信号,该电荷放大器采用标准的130 nm CMOS工艺设计,具有八种金属和一层多晶硅层。从电荷放大器获取的模拟电压信号然后使用可重新配置的流水线模数转换器转换为数字信号,以简化传输。设计用于在3.1-5 GHz频率范围内工作的脉冲无线电超宽带发射机,用于数据的无线传输。较小的占地面积,更轻的重量,无线遥测和低成本的材料,以及用于信号处理和数据传输的低功耗集成CMOS电路,使得该系统成为稳定呼吸监测系统的诱人选择。

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    《Sensors Journal, IEEE》 |2017年第6期|1858-1864|共7页
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  • 入库时间 2022-08-17 13:29:18

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