qrs detection learning parameters, 'Failed to find * beats during learning'

从链接的 wfdb_qrs_detection.ipynb 开始，在 1000 Hz 和 360 Hz 下分别使用清晰和含噪的 ECG 数据运行其中的 xqrs 示例。跟踪学习和心搏查找路径，然后比较 Ricker wavelet 与信号所使用的样本大小；当失败和错误的 1000 Hz 结果得到解释，或由可复现的修复覆盖时，即视为完成。

I am having problems with the xqrs class.
I have to work with 1000 Hz real ecg signals.

I would like to know why can't the qrs detection learn initial signal parameters.

In my linked jupyter notebook (had to clear plot outputs of size problems), the function fails to learn on a generated perfect 1000 Hz signal and the interpolated 360 Hz version of it, yet the learning works on the interpolated 360 Hz version of the noisy signal but fails on the 1000 Hz version with wrong output.

When I tried to figure it out in the source code, it seemed like when the finding of beats happen, the ricker wavelet gets compared to wrong sample sized signal, so the wavelet might not be scaled up well.
( I might be completly wrong here)

Thanks for any help!

my representation of the issue:
MWE notebook
data for the example:
clear ecg data
noisy ecg data