A Multi-Parameter Signal-Acquisition SoC for Connected Personal Health Applications DC-offset isn’t cancelled after the input differential pair of the gm-stage the proposed method doesn’t face the power vs. noise vs. DC-offset range trade-off from CFBIAs with DC-servos.

📋 论文概要

该论文提出了一种用于连接个人健康应用的多参数信号采集SoC，集成了ARM Cortex-M0处理器、硬件加速器和128KB SRAM，通过16通道DMA支持模拟前端和数字接口，在保持低功耗的同时提供了算法灵活性。

💡 主要创新点

• 集成了Cortex-M0处理器和专用硬件加速器，实现了低功耗与算法灵活性的平衡。
• 采用16通道DMA和多通道AFE/数字接口，支持多参数信号的同时采集与高效数据传输。

🏷 关键词

📄 原文摘要

Dong-Woo Jee1, Arjan Breeschoten2, Alonso Morgado1, Tom Torfs1, Harmke de Groot2, Chris Van Hoof1, Refet Firat Yazicioglu1 Various very low power signal processors have been demonstrated [2]. This is usually achieved through an optimized implementation dedicated to specific algorithms sacrificing flexibility, which limits the field of application. The proposed SoC has a Cortex™ M0 processor, HW accelerators, 128KB SRAM and a 16-channel DMA that supports the AFE and digital interfaces (Fig. 18.3.1). The ARM Cortex™ M series is popular for embedded applications (ease of programming and tool-availability). The Cortex™ M0 has low energy per clock cycle compared to other cores. However, the energy it needs to execute DSP tasks (e.g. filtering and MAR) is often worse than application specific processors because the instruction set architecture is optimized for control code. In the case of biomedical signal processing significant cycles are spent in functions as ICA

👥 作者与机构

Nick Van Helleputte1, Mario Konijnenburg2, Hyejung Kim1, Julia Pettine2,