⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一款30µW的模拟信号处理器ASIC，用于生物医学信号监测，旨在解决传统系统中数字信号处理和无线传输功耗过高的问题，同时有效抑制运动伪影。通过模拟域处理，实现了低功耗的ECG信号提取。
U. Leuven, Leuven, Belgium 2 Power efficiency of readout circuits for ambulatory monitoring of biopotential signals has been significantly improved during recent years [1]-[3], leaving digital signal processing (DSP) and wireless transmission dominating the system power [4]. In addition, field tests have revealed that motion artifacts are a significant problem requiring even more processing power to differentiate between biological information and irrelevant motion artifacts. The presented Analog Signal Processor (ASP) not only addresses the power efficient extraction of ECG signals, but also improves the state-of-the-art by providing a low-power means for both reducing the data rate of ECG signals through adaptive sampling and improving the robustness by monitoring motion artifacts. It should be noted that these problems are traditionally being tackled in DSP increasing the system
Refet Firat Yazicioglu1, Sunyoung Kim1, Tom Torfs1, Patrick Merken2,
Chris Van Hoof1,3 1 IMEC, Leuven, Belgium RMA, Brussels, Belgium 3 K