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.

中文翻译：

---

基于混合信号芯片的可配置相干光声雷达传感平台，用于体内温度监测和生命体征检测

为了在当前 COVID-19 大流行中进行精确的健康状态监测和准确的疾病诊断，必须在高噪声和强干扰下稳健地检测各种目标信号。此外，为了方便大规模部署，健康监测系统最好以小尺寸实现。为了实现这一目标，提出了一种 CMOS 集成相干传感平台，该平台协同利用正交相干光声 (PA) 检测和相干雷达传感来实现全民医疗保健。通过利用可配置的混合信号正交相干 PA 检测，可以实现高灵敏度和增强的特异性。同相 ( I ) 和正交 ( Q ) 模板专门设计用于以相干模式准确感测和精确重建目标 PA 信号。通过混合信号实现，利用FPGA自适应生成模板波形，基于早晚跟踪原理，实现对目标PA信号的精确跟踪和精确重构。接收到的 PA 信号和模板之间的乘法是通过片上吉尔伯特单元在模拟域中有效实现的。基于采用 65 nm CMOS 工艺制造的集成 PA 传感平台实现了体内血液温度监测。通过在室内场景中部署集成雷达传感器，可以基于电磁 (EM) 传感实现对呼吸和心跳率的非接触式监测。通过互补使用 PA-EM 传感机制，可以针对当前全球 COVID-19 大流行和未来万物互联 (IoE) 时代的普遍医疗保健实现全面的健康状态监测和精确的远程疾病诊断。