Jiang Xinyu, Sang Brian, Wen Haoran, Junek Gregory, Park Jin-Woo, Ayazi Farrokh
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
StethX Microsystems Inc., Atlanta, GA 30308, USA.
Biosensors (Basel). 2025 May 20;15(5):325. doi: 10.3390/bios15050325.
We present a hermetically sealed capacitive microelectromechanical system (MEMS) strain sensor designed for arterial pulse waveform extraction using the strain plethysmography (SPG) modality. The MEMS strain sensor features a small form factor of 3.3 mm × 3.3 mm × 1 mm, leverages a nano-gap fabrication process to improve the sensitivity, and uses a differential sensing mechanism to improve the linearity and remove the common mode drift. The MEMS strain sensor is interfaced with an application-specific integrated circuit (ASIC) to form a compact strain sensing system. This system exhibits a high strain sensitivity of 316 aF/µε, a gauge factor (GF) of 35, and a strain sensing resolution of 1.26 µε, while maintaining a linear range exceeding 700 µε. SPG signals have been reliably captured at both the fingertip and wrist using the MEMS strain sensor with high signal quality, preserving various photoplethysmography (PPG) features. Experimental results demonstrate that heart rate (HR) and heart rate variability (HRV) can be estimated from the SPG signal collected at the fingertip and wrist using the sensor with an accuracy of over 99%. Pulse arrival time (PAT) and pulse transit time (PTT) have been successfully extracted using the sensor together with a MEMS seismometer, showcasing its potential for ambulatory BP monitoring (ABPM) application.
我们展示了一种密封式电容微机电系统(MEMS)应变传感器,该传感器专为采用应变体积描记法(SPG)模式提取动脉脉搏波形而设计。该MEMS应变传感器外形小巧,尺寸为3.3毫米×3.3毫米×1毫米,利用纳米间隙制造工艺提高灵敏度,并采用差分传感机制提高线性度并消除共模漂移。该MEMS应变传感器与专用集成电路(ASIC)接口,形成一个紧凑的应变传感系统。该系统具有316 aF/με的高应变灵敏度、35的应变片系数(GF)和1.26 με的应变传感分辨率,同时保持超过700 με的线性范围。使用该MEMS应变传感器已在指尖和手腕处可靠地捕获了SPG信号,信号质量高,保留了各种光电容积描记法(PPG)特征。实验结果表明,使用该传感器可以从在指尖和手腕处采集的SPG信号中估计心率(HR)和心率变异性(HRV),准确率超过99%。使用该传感器与MEMS地震仪一起成功提取了脉搏到达时间(PAT)和脉搏传输时间(PTT),展示了其在动态血压监测(ABPM)应用中的潜力。