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A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit

机译:具有压缩感测的基于超低功率的超低功率光学电压读数电路的可穿戴手腕带

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In this paper, we present our efforts towards packaging of a novel compressive sampling (CS) based ultra-low power photoplethysmography (PPG) application-specific integrated circuit (ASIC) into a wearable form factor. The system comprises of a custom PPG analog front-end circuit, integrated with a digital back-end to enable CS, and a commercial off-the-shelf (COTS) system-on-chip (SoC) for Bluetooth Low Energy (BLE) based wireless data transfer. The ASIC consumes 172 μW power to extract heart rate from the sparse PPG signal where the whole system consumes 1.66 mW power for continuous streaming of heart rate data over the COTS BLE radio. This work presents the first ever demonstration of a CS based PPG ASIC in wrist-band form factors and paves our way towards deploying and evaluating this custom PPG ASIC in future clinical studies. The modular architecture of the wristband platform allows for incorporation of other sensors for future correlated sensing studies between health and environment.
机译:在本文中,我们向我们展示了一种基于新型压缩采样(CS)的超低功率光学电压率描绘(PPG)特定的集成电路(ASIC)的新型压缩采样(CS)的努力成为可穿戴形式因子。该系统包括定制PPG模拟前端电路,与数字后端集成,以使CS和用于蓝牙低能量(BLE)的商业现成(COTS)系统的片上(SOC)。基于无线数据传输。 ASIC消耗了172μW的功率,从稀疏PPG信号中提取心率,其中整个系统消耗1.66 MW功率,以在COTS BLE无线电通过COTS BLE无线电的连续流速率。这项工作介绍了腕带形式因素中基于CS的PPG ASIC的首次演示,并在未来的临床研究中铺平了我们朝往这种定制PPG Asic的部署和评估。腕带平台的模块化架构允许结合其他传感器,以便在健康和环境之间进行未来的相关感应研究。

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