A 172µW Compressive Sampling Photoplethysmographic Readout with Embedded Direct Heart-Rate and Variability Extraction from Compressively Sampled Data

📋 论文概要

该论文提出了一种基于压缩采样的光电容积描记（PPG）读出芯片，嵌入直接心率和心率变异性（HR/HRV）提取功能，总功耗仅172µW。解决了长期心血管和心理健康监测中低功耗与实时心率变异性分析的需求。

💡 主要创新点

• 采用压缩采样技术降低PPG信号采样率，从而大幅降低功耗。
• 在芯片内嵌入直接心率和心率变异性提取算法，无需外部处理器，实现超低功耗连续监测。

🏷 关键词

📄 原文摘要

Long Yan1, Alper Bozkurt3, Chris Van Hoof1,2, Nick Van Helleputte1, Refet Firat Yazicioglu1, Marian Verhelst2 imec, Leuven, Belgium, 2KU Leuven, Leuven, Belgium, North Carolina State University, Raleigh, NC 1 3 Heart rate (HR) and its variability (HRV) provide critical information about an individual’s cardiovascular and mental health state. In either application, longterm observation is crucial to arrive at conclusive decisions and provide useful diagnostic feedback [1]. Photoplethysmographic (PPG) estimation of HR and HRV has emerged as an attractive alternative to ECG, as it provides electrode-free operation increasing patient comfort. However, PPG monitoring systems robust to low ambient light conditions and low perfusion conditions require a LED as a light source, which strongly dominates the power consumption of the complete system. Compressive sampling (CS) based PPG readouts promise to mitigate this

👥 作者与机构

Pamula Venkata Rajesh1,2, Jose Manuel Valero-Sarmiento3,