A 1.2nW Analog Electrocardiogram Processor Achieving a 99.63% QRS Complex Detection Sensitivity
A 1.2nW Analog Electrocardiogram Processor Achieving a 99.63% QRS Complex Detection Sensitivity
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A%201.2nW%20模拟%20心电图%20处理器%20实现%20a%2099.63%%20QRS%20复杂%20检测%20灵敏度
DOI：
10.1109/tbcas.2021.3092729
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发表时间：
2021
影响因子：
5.1
通讯作者：
Töreyin, Hakan
中科院分区：
文献类型：
--
作者：
Gungor, Cihan;Mercier, Patrick;Töreyin, Hakan
提出了一种用于实时检测QRS波的高能效心电处理器。该算法基于泛-汤普金斯算法，并利用亚阈值偏置的超低功耗模拟电路在模拟域实现。几乎所有的处理模块都使用了∼100 mV线性范围的运算跨导放大器，同时对电流信号执行平方运算。此外，代替自适应阈值，执行固定级别的阈值，从而消除了对诸如存储器和阈值更新等额外块的需要。该处理器采用65 nm TSMC CMOS工艺设计，占地面积为0.078平方毫米。当由1 V电源供电时，处理器的功耗为1.2 nW。使用MIT-BIH数据库中的记录，处理器获得了平均99.63%的QRS检测灵敏度和99.47%的阳性预测率。
An energy-efficient electrocardiogram (ECG) processor for real-time QRS detection is presented. The proposed algorithm is based on the Pan-Tompkins algorithm and it is implemented in the analog domain leveraging ultra-low power analog electronics biased in subthreshold. Operational transconductance amplifiers with ∼100 mV linear range are used in almost all of the processing blocks, while squaring is performed on current signals. Additionally, instead of adaptive thresholding, a fixed-level thresholding is performed, thereby eliminating the need for additional blocks such as memory and threshold update. The processor is designed in 65 nm TSMC CMOS technology and has a footprint of 0.078 mm2. When supplied by a 1 V supply, the processor consumes 1.2 nW. Using the recordings in the MIT-BIH database, the processor achieves an average QRS detection sensitivity of 99.63% and positive predictivity of 99.47%.