IEEE Trans Biomed Circuits Syst. 2017 Dec;11(6):1356-1365. doi: 10.1109/TBCAS.2017.2731797. Epub 2017 Aug 29.
This paper proposes a low power and efficient QRS processor for real-time and continuous mobile ECG monitoring. The QRS detector contains the wavelet transform (WT), the modulus maxima pair identification (MMPI), and the R position modification (RPM). In order to reduce power consumption, we choose the Haar function as the mother wavelet of WT. It is implemented by an optimized FIR filter structure where none of the multiplier is used. The MMPI processes the wavelet coefficients at scale 2 and provides candidate R peak positions for the RPM. To improve the accuracy and robust performance, a number of modules have been designed in MMPI, including the preprocessing unit, the automatic threshold updating, and the decision state machine. The RPM is designed to eliminate digital time delay in wavelet transform and locate the R peak position precisely. Raw ECG signals and QRS detection results are output simultaneously. Fabricated in 0.18-μm N-well CMOS 1P6M technology, the power consumption of this chip is only about 410 nW in 1 V voltage supply. Validated by all 48 sets of data in the MIT-BIH arrhythmia database, the sensitive and the positive prediction are 99.60% and 99.77% respectively.
本文提出了一种用于实时和连续移动 ECG 监测的低功耗、高效的 QRS 处理器。QRS 检测器包含小波变换(WT)、模极大值对识别(MMPI)和 R 位置修正(RPM)。为了降低功耗,我们选择 Haar 函数作为 WT 的母小波。它是通过一种优化的 FIR 滤波器结构实现的,其中不使用乘法器。MMPI 处理尺度 2 的小波系数,并为 RPM 提供候选 R 波峰值位置。为了提高准确性和鲁棒性,在 MMPI 中设计了多个模块,包括预处理单元、自动阈值更新和决策状态机。RPM 旨在消除小波变换中的数字时间延迟,并精确定位 R 波峰值位置。该芯片采用 0.18μm N 阱 CMOS 1P6M 工艺制造,在 1V 电源电压下的功耗仅约为 410nW。通过 MIT-BIH 心律失常数据库中的 48 组数据进行验证,灵敏度和阳性预测值分别为 99.60%和 99.77%。