Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:5618-5624. doi: 10.1109/EMBC46164.2021.9630170.
This work presents ReBeatICG, a real-time, low-complexity beat-to-beat impedance cardiography (ICG) delineation algorithm that allows hemodynamic parameters monitoring. The proposed procedure relies only on the ICG signal compared to most algorithms found in the literature that rely on synchronous electrocardiogram signal (ECG) recordings. ReBeatICG was designed with implementation on an ultra-low-power microcontroller (MCU) in mind. The detection accuracy of the developed algorithm is tested against points manually labeled by cardiologists. It achieves a detection Gmean accuracy of 94.9%, 98.6%, 90.3%, and 84.3% for the B, C, X, and O characteristic points, respectively. Furthermore, several hemodynamic parameters were calculated based on annotated characteristic points and compared with values generated from the cardiologists' annotations. ReBeatICG achieved mean error rates of 0.11 ms, 9.72 ms, 8.32 ms, and 3.97% for HR, LVET, IVRT, and relative C-point amplitude, respectively.
本工作提出了 ReBeatICG，这是一种实时、低复杂度的逐搏心阻抗图 (ICG) 描记算法，可用于监测血流动力学参数。与文献中大多数依赖同步心电图信号 (ECG) 记录的算法相比，该方法仅依赖于 ICG 信号。ReBeatICG 的设计考虑了在超低功耗微控制器 (MCU) 上的实现。该算法的检测精度通过手动标记的特征点进行测试。对于 B、C、X 和 O 特征点，开发的算法的检测 Gmean 精度分别达到 94.9%、98.6%、90.3%和 84.3%。此外，根据标记的特征点计算了几个血流动力学参数，并与心脏病专家标记值进行了比较。ReBeatICG 在心输出量 (HR)、左心室射血时间 (LVET)、等容收缩时间 (IVRT) 和相对 C 点幅度方面的平均误差率分别为 0.11ms、9.72ms、8.32ms 和 3.97%。
