Table 4 Features extracted from the sensor data.
From: Automating sleep stage classification using wireless, wearable sensors
Sensor modality | Sampling frequency (Hz) | No. of features | Features |
|---|---|---|---|
Accelerometer | 62.5 | 33 | Mean (x,y,z) Minimum (x,y,z) Maximum (x,y,z) Range (x,y,z) Interquartile range (x,y,z) Standard deviation (x,y,z) Kurtosis (x,y,z) Root mean squared (x,y,z) Variance (x,y,z) Pearson’s coefficient (x,y,z) Pearson’s p value (x,y,z) |
ECG | 1000 | 14 | Mean R-R interval Minimum R-R interval Maximum R-R interval Standard deviation R-R interval RMSSD NN50, PNN50 NN20, PNN20 VLF, LF, HF LF/HF Ratio |
Skin temperature | 0.0167 | 4 | Mean DPG Minimum DPG Maximum DPG Range DPG |
