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. 2018 Nov 23;1:64. doi: 10.1038/s41746-018-0071-z

Table 3.

Features computed on both the accelerometer and gyroscope data to train the symptom detection classifier

Feature Feature dimension
Range (X,Y,Z) 3
Skew (X,Y,Z) 3
Kurtosis (X,Y,Z) 3
Cross-correlation peak (XY,XZ,YZ) 3
Cross-correlation lag (XY,XZ,YZ) 3
Dominant frequency (acceleration magnitude) 1
Relative magnitude 1
Moments of power spectral density (acceleration magnitude) 4
Moments of Jerk magnitude 4
Sample entropy (X,Y,Z) 3