A Low-Power Wireless Piezoelectric Sensor-Based Respiration Monitoring System Realized in CMOS Process
| Autor: | Gary To, Mohamed R. Mahfouz, Ifana Mahbub, Antonino S. Fiorillo, Syed K. Islam, Salvatore A. Pullano, Hanfeng Wang |
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| Rok vydání: | 2017 |
| Předmět: |
Materials science
Piezoelectric sensor 010401 analytical chemistry 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Signal 0104 chemical sciences Transducer Transmission (telecommunications) CMOS Hardware_GENERAL Hardware_INTEGRATEDCIRCUITS Electronic engineering Digital signal Electrical and Electronic Engineering 0210 nano-technology Instrumentation Charge amplifier Data transmission |
| Zdroj: | IEEE Sensors Journal. 17:1858-1864 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2017.2651073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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