A Mixed-Signal Chip-Based Configurable Coherent Photoacoustic-Radar Sensing Platform for In Vivo Temperature Monitoring and Vital Signs Detection
Autor: | Yuanjin Zheng, Zhongyuan Fang, Xiaoyan Tang, Kai Tang, Chuanshi Yang, Zesheng Zheng, Haoran Jin, Liheng Lou, Wensong Wang |
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Rok vydání: | 2021 |
Předmět: |
Radar
Vital Signs Computer science Noise (signal processing) business.industry Biomedical Engineering COVID-19 Signal Processing Computer-Assisted Mixed-signal integrated circuit Chip Signal Body Temperature law.invention Radar engineering details law Humans Electrical and Electronic Engineering Field-programmable gate array business Pandemics Sensitivity (electronics) Computer hardware |
Zdroj: | IEEE Transactions on Biomedical Circuits and Systems. 15:666-678 |
ISSN: | 1940-9990 1932-4545 |
Popis: | For precise health status monitoring and accurate disease diagnostics in the current COVID-19 pandemic, it is essential to detect various kinds of target signals robustly under high noise and strong interferences. Moreover, the health monitoring system is preferred to be realized in a small form factor for convenient mass deployments. A CMOS-integrated coherent sensing platform is proposed to achieve the goal, which synergetically leverages quadrature coherent photoacoustic (PA) detection and coherent radar sensing for achieving universal healthcare. By utilizing configurable mixed-signal quadrature coherent PA detection, high sensitivity and enhanced specificity can be achieved. In-phase ( I ) and quadrature ( Q ) templates are specifically designed to accurately sense and precisely reconstruct the target PA signals in a coherent mode. By mixed-signal implementation leveraging an FPGA to generate template waveforms adaptively, accurate tracking and precise reconstruction on the target PA signal can be attained based on the early-late tracking principle. The multiplication between the received PA signal and the templates is implemented efficiently in analog-domain by the Gilbert cell on-chip. In vivo blood temperature monitoring was realized based on the integrated PA sensing platform fabricated in a 65-nm CMOS process. With an integrated radar sensor deployed in the indoor scenario, noncontact monitoring on respiration and heartbeat rates can be attained based on electromagnetic (EM) sensing. By complementary usage of PA-EM sensing mechanisms, comprehensive health status monitoring and precise remote disease diagnostics can be achieved for the currentglobal COVID-19 pandemic and the future pervasive healthcare in the Internet of Everything (IoE) era. |
Databáze: | OpenAIRE |
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