Table 2 Features
From: Recognition of freezing of gait in Parkinson’s disease based on combined wearable sensors
Number | Feature | Description |
|---|---|---|
1 | FI a | Ratio of [3, 8] Hz power (freezing zone) to [0.5,3] Hz power (motion zone) |
2 | Energy | The sum of squared amplitudes of signal after discrete Fourier transform |
3 | Sum Power | The sum power of the freezing zone and the motion zone |
4 | Mean | The mean value of the signal |
5 | Absolute Mean | Average of the absolute value of the signal |
6 | Zero-crossing Rate | The number of times the signal passes through the zero point |
7 | Standard Deviation | The mean square root of the sum of squares of deviation from mean |
8 | Range | The difference between the maximum and minimum value of the signal |
9 | Root Mean Square | The square root of the average of the squares of all values |
10 | Maximum | Maximum value of signal |
11 | Minimum | Minimum value of signal |
12 | Principal Direction Eigenvalue | Eigenvalue of covariance matrix |
13 | Entropy | Information uncertainty |