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Hi, here are some questions when I use the "ecg_quality"
First, I got a 30 seconds length ECG waveform and analyzed the quality, and then I got the answer "Excellent". But these results let me get some confuse (ECG waveform please refer to the attached image)
Based on this ECG data, the SQI results are as follows:
pSQI = 0.8456271730524108
kSQI = -0.018646675312427696
basSQI = 905.027971257324
I use this function and choose method "zhao2018" and mode "fuzzy". Because the results are not what I expected, so I refer to the original literature and check the source code. I found some questions in "ecg_quality.py".
In baseSQI calculation, parameter "UbI" show "UbI = 1.0 / (1 + np.power((basSQI - 95) / 2.5, 2))", but the literature is "basSQI - 92" not "basSQI - 95". Here is a little difference.
In pSQI and basSQI, "R2 = np.array([UpH, UpI, UpJ])" and "R4 = np.array([UbH, UbI, UbJ])", the matrix needs the same as the literature "UxH, UxJ, UxI"? I can't sure if it's will affect the results or not.
In the function "_ecg_quality_basSQI", the basSQI value is larger than 100, it seems don't in the range of the literature definition, I think that may need to adjust the formula for meet in the range 0~100.
Thanks.
The text was updated successfully, but these errors were encountered:
Hi, here are some questions when I use the "ecg_quality"
First, I got a 30 seconds length ECG waveform and analyzed the quality, and then I got the answer "Excellent". But these results let me get some confuse (ECG waveform please refer to the attached image)
Based on this ECG data, the SQI results are as follows:
pSQI = 0.8456271730524108
kSQI = -0.018646675312427696
basSQI = 905.027971257324
I use this function and choose method "zhao2018" and mode "fuzzy". Because the results are not what I expected, so I refer to the original literature and check the source code. I found some questions in "ecg_quality.py".
Thanks.
The text was updated successfully, but these errors were encountered: