基于单三维加速度计双模式生理信号读出的可穿戴设备混合信号跌落检测系统设计

Angelito A. Silverio, Wen-Yaw Chung, Leandro Silvério
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引用次数: 0

摘要

跌倒检测技术不断发展,以提供更好的预测能力,便携性和可穿戴性。现有的跌倒相关研究包括基于视觉的系统和可穿戴设备。虽然在可穿戴技术领域已经有大量的工作,但在使这些设备自主或独立方面仍有创新。此外,这种设备可以在一块硅片中嵌入更多的功能。这是这项工作的动机,因为它试图开发一种混合信号系统,该系统在跌倒检测方面相当独立,同时提供跌倒后心率、平均动脉压和温度的前端,并提供不活动日志。对于跌落检测,结合幅度和尖峰窗和阈值被用于更稳健的检测。该电路采用TSMC 0.18um工艺设计,并通过SPICE进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Mixed Signal Fall Detector System based on a Single 3-D Accelerometer with Dual Mode Physiological Signal Readouts for Stand-Alone Wearable Applications
Fall detection technologies kept on advancing to provide better prediction ability, portability and wearability. Existing fallrelated studies include vision-based systems and wearable devices. Though there is already abundant work in the wearable technology space, there is still innovation in making such devices autonomous or standalone. Furthermore, such device could have more functionality embedded to it in one silicon. This served to be the motivation of this work as it attempts to develop a mixed signal system that is fairly stand-alone in terms of fall detection while providing a front-end for heart rate, mean arterial pressure and temperature at post fall condition with inactivity log. For fall detection, a combination of magnitude and spike windowing and thresholding are utilized for a more robust detection. This circuit has been designed using TSMC 0.18um technology obtained from MOSIS wafer test runs and was verified using SPICE.
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