Feature Set: FS-H-E-10
Overview
This feature set is targeted for sleep stage classification based on single pair of ECG and EOG sensor data collected on head location. The feature set computes frequency band metrics over temporal windows (e.g. 30 seconds) captured from ECG and EOG sensors.
Target Location/Sensors
The target location for this feature set is the head. From this location, the features are compute from the following raw sensors:
- EEG: Electroencephalography (EEG) sensor data is used to compute frequency bands, power spectral density, and entropy features.
- EOG: Electrooculography (EOG) sensor data is used to compute ocular movement features.
Dataset Support
- MESA: This dataset provides EEG, EOG, and EMG data from the head location. The dataset also provides sleep stage labels.
Features
This feature set includes the following features:
| Feature Name | Description | Sensor |
|---|---|---|
| eeg_delta_power | Power in delta frequency band | EEG |
| eeg_theta_power | Power in theta frequency band | EEG |
| eeg_alpha_power | Power in alpha frequency band | EEG |
| eeg_beta_power | Power in beta frequency band | EEG |
| eeg_gamma_power | Power in gamma frequency band | EEG |
| eog_delta_power | Power in delta frequency band | EOG |
| eog_theta_power | Power in theta frequency band | EOG |
| eog_alpha_power | Power in alpha frequency band | EOG |
| eog_beta_power | Power in beta frequency band | EOG |
| eog_gamma_power | Power in gamma frequency band | EOG |
Output
The feature set is stored as HDF5 files (.h5) with one file per subject with path: {save_path}/{dataset}/{subject_id}.h5. Each HDF5 file includes the following entries:
/features: Time x Feature tensor (fp32). Features are computed over windows of sensor data./mask: Time x Mask tensor (bool). Mask indicates valid feature values./labels: Time x Label (int). Labels are sleep stages.