pyeeglab.dataset package

Subpackages

• pyeeglab.dataset.chbmit package
  • Submodules
  • pyeeglab.dataset.chbmit.chbmit_dataset module
  • pyeeglab.dataset.chbmit.chbmit_index module
  • pyeeglab.dataset.chbmit.chbmit_loader module
  • Module contents
• pyeeglab.dataset.eegmmidb package
  • Submodules
  • pyeeglab.dataset.eegmmidb.eegmmidb_dataset module
  • pyeeglab.dataset.eegmmidb.eegmmidb_index module
  • pyeeglab.dataset.eegmmidb.eegmmidb_loader module
  • Module contents
• pyeeglab.dataset.tuh_eeg_abnormal package
  • Submodules
  • pyeeglab.dataset.tuh_eeg_abnormal.tuh_eeg_abnormal_dataset module
  • pyeeglab.dataset.tuh_eeg_abnormal.tuh_eeg_abnormal_index module
  • pyeeglab.dataset.tuh_eeg_abnormal.tuh_eeg_abnormal_loader module
  • Module contents
• pyeeglab.dataset.tuh_eeg_artifact package
  • Submodules
  • pyeeglab.dataset.tuh_eeg_artifact.tuh_eeg_artifact_dataset module
  • pyeeglab.dataset.tuh_eeg_artifact.tuh_eeg_artifact_index module
  • pyeeglab.dataset.tuh_eeg_artifact.tuh_eeg_artifact_loader module
  • Module contents

Submodules

pyeeglab.dataset.dataset module

class pyeeglab.dataset.dataset.Dataset(path: str, name: str, version: str = None, extensions: List[str] = ['.edf'], exclude_file: List[str] = None, exclude_channels_set: List[str] = None, exclude_channels_reference: List[str] = None, exclude_sampling_frequency: List[str] = None, minimum_annotation_duration: float = None)

Bases: abc.ABC

download(user: str = None, password: str = None) → None

environment

index() → None

load() → Dict[KT, VT]

lowest_frequency

maximal_channels_subset

pipeline = None

set_minimum_event_duration(duration: float) → pyeeglab.dataset.dataset.Dataset

set_pipeline(pipeline: pyeeglab.pipeline.pipeline.Pipeline) → pyeeglab.dataset.dataset.Dataset

signal_min_max_range

Module contents