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. 2023 Jun 15;23(12):5618. doi: 10.3390/s23125618

Table 4.

Detailed description of the set of ECG features used for the signal quality assessment.

Category Name Description
Statistical Features mean 1st central moment over valid ECG signal segment
median Median value over valid ECG signal segment
standard deviation 2nd central moment over valid ECG signal segment
skewness 3rd central moment over valid ECG signal segment
kurtosis 4th central moment over valid ECG signal segment
Time-domain Features mean HR Average heart rate calculated from identified RR-intervals
SDNN Standard deviation of RR-intervals over 1-minute recording [35]
coverage Segment length Tseg of valid ECG tracing (cf. Section 3.2.1)
eCDF consistency Mean value of eCDF correlation coefficient [36]
Signal consistency DTW Distance between first half and second half of ECG recording [37]
Frequency-domain Features FFT consistency Mean value of FFT correlation coefficient
basSQI Signal quality index (SQI) for ECG baseline wander according to [15]
qrsSQI SQI for QRS complex power according to [15]
pliSQI SQI for power-line interference according to [38]
SNR Signal-to-noise ratio according to [38]
mean SQI Mean SQI: (basSQI + qrsSQI + pliSQI)/3 [38]
Morphology-related Features mean R-peak amplitude Average R-peak amplitude from peak detection
mean template STD Average standard deviation from mean morphology
Euclidean distance Euclidean distance between mean morphology and optimal signal prototype
Cityblock distance One-norm between mean morphology and optimal signal prototype [39]
DTW distance DTW distance between mean morphology and optimal signal prototype [37]
Correlation Coefficient Correlation coefficient between mean morphology and optimal signal prototype