An SpO2 Sensor Using Reconstruction-Free Sparse Sampling for 70% System Power Reduction

📋 论文概要

本文提出一种基于重建自由稀疏采样的SpO2传感器，通过避免传统稀疏采样后的信号重建步骤，直接处理稀疏数据，从而大幅降低系统功耗。该传感器实现了70%的系统功耗降低，适用于连续监测血氧饱和度，尤其对COVID-19等呼吸疾病早期检测具有重要意义。

💡 主要创新点

• 提出重建自由稀疏采样技术，去除传统稀疏采样后的重建步骤，降低计算和存储开销。
• 实现70%的系统功耗降低，显著延长电池供电设备的续航时间。
• 针对SpO2监测优化，在低功耗下保持准确的血氧测量性能。

🏷 关键词

📄 原文摘要

oxygenation (SpO2) is a measure of hypoxemia and a sign of problems relating to breathing and circulation. Progressive drop in arterial SpO2 can be an early indicator of severe disease in COVID-19 patients [1]. A hypoxic state can occur rapidly and without a patient’s knowledge; therefore, early detection of SpO2 decline can be lifesaving. In other respiratory system diseases such as COPD and sleep apnea, continuously monitoring of SpO2 with a pulse oximeter can enable timely diagnosis of oxygen desaturation. SpO2 is measured with Photoplethysmography (PPG) that uses a photodetector (PD) to detect either the transmission or reflection of light from the surface of the skin at two different light wavelengths. Commercial fingertip SpO2 sensors are not designed for chronic wear and require user intervention to trigger measurements.

👥 作者与机构

Sina Faraji Alamouti1, Cem Yalcin1, Jasmine Jan1, Jonathan Ting1, Ana C. Arias1,

Rikky Muller1,2 University of California, Berkeley, CA Chan Zuckerberg Biohub, San Francisco, CA 1 2 Low arterial blood