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A pulse oximeter system, OxiSense, with embedded signal processing usingan ultra-low power ASIC designed for testability

机译:脉搏血氧仪系统,OxiSense,具有嵌入式信号处理功能,使用可测试性的超低功耗ASIC设计

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This paper presents a complete IoT enabled pulse oximeter (PO) system, called OxiSense, made using a custom designed low power application specific integrated circuit (ASIC) for signal conditioning. One of the novel aspects of the developed system is the testability of all the important modules of the ASIC (both analog and digital) using auxiliary circuits implemented in the ASIC. Another novel aspect is a new embedded and efficient signal processing algorithm which is robust to small motion artifacts. This new algorithm has been implemented on a low-power micro-controller (embedded processing mode) as well as on PC using Python (remote processing mode). The PO ASIC is fabricated in 180 nm mixed-mode CMOS technology and it works at 1.8 V supply voltage. The average power consumption of the analog front-end is 176 mu W and that of the digital module controlling the analog front-end is 23 mu W. The prototype PO system made using the custom ASIC operates from a 3.7 V lithium ion battery and consumes about 8 mW power. The prototype is housed in a 3D printed casing and it connects with a display device via USB or wirelessly to laptop/smartphone/tablet. Readings on 20 subjects, both in the lab and in hospital, show less than 2% deviation in the measured S pO(2) level and worst case deviation of 2.7 beats per minute for the measured heart rate, when compared with the commercial POs.
机译:本文介绍了一个完整的具有IoT功能的脉搏血氧仪(PO)系统,称为OxiSense,它使用定制设计的低功耗专用集成电路(ASIC)进行信号调理。所开发系统的新颖方面之一是使用ASIC中实现的辅助电路对ASIC所有重要模块(模拟和数字)的可测试性。另一个新颖的方面是对小型运动伪像具有鲁棒性的新型嵌入式高效信号处理算法。这种新算法已在低功耗微控制器(嵌入式处理模式)以及使用Python的PC(远程处理模式)上实现。 PO ASIC采用180 nm混合模式CMOS技术制造,工作电压为1.8V。模拟前端的平均功耗为176μW,控制模拟前端的数字模块的平均功耗为23μW。使用定制ASIC制成的原型PO系统使用3.7 V锂离子电池工作,功耗为大约8 mW的功率。该原型位于3D打印外壳中,并通过USB或无线连接到笔记本电脑/智能手机/平板电脑与显示设备相连。与商用PO相比,无论是在实验室还是在医院,对20位受试者的读数均显示,测量的S pO(2)水平偏差小于2%,最坏情况下的测量心率偏差为每分钟2.7次。

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