Welcome to medusa’s documentation!
Contents:
- medusa package
- Subpackages
- medusa.analysis package
- medusa.bci package
- Submodules
- medusa.bci.cvep_spellers module
BWRFeatureExtractionCMDModelBWREEGInceptionCMDModelBWRLDACVEPModelCircularShiftingCVEPModelTRCAGoldCodesCVEPSpellerDataCVEPSpellerDatasetCVEPSpellerModelCircularShiftingAsyncESExtensionCircularShiftingClassifierCircularShiftingEarlyStoppingFilterBankPreprocessingGOLD_CODESLFSRStandardPreprocessingTRCAGoldCodesClassifierautocorr_circular()autocorr_zeropad()check_if_shifted()command_decoding_accuracy_per_cycle()decode_commands_from_events()get_items_by_sorted_sequences()get_unique_sequences_from_targets()
- medusa.bci.erp_spellers module
CMDModelEEGInceptionCMDModelEEGNetCMDModelRLDACSDModelEEGInceptionERPSpellerDataERPSpellerDatasetERPSpellerModelStandardFeatureExtractionStandardPreprocessingcommand_decoding_accuracy()command_decoding_accuracy_per_seq()control_state_detection_accuracy()control_state_detection_accuracy_per_seq()decode_commands()detect_control_state()get_selected_commands_info()split_erp_features()
- medusa.bci.metrics module
- medusa.bci.mi_paradigms module
- medusa.bci.nft_paradigms module
- medusa.bci.ssvep_spellers module
- medusa.connectivity package
- medusa.graph_theory package
- Submodules
- medusa.graph_theory.assortativity module
- medusa.graph_theory.betweeenness_centrality module
- medusa.graph_theory.clustering_coefficient module
- medusa.graph_theory.complexity module
- medusa.graph_theory.degree module
- medusa.graph_theory.density module
- medusa.graph_theory.efficiency module
- medusa.graph_theory.eigen_centrality module
- medusa.graph_theory.modularity module
- medusa.graph_theory.participation_coefficient module
- medusa.graph_theory.path_length module
- medusa.graph_theory.surrogate_graph module
- medusa.graph_theory.transitivity module
- medusa.local_activation package
- medusa.meeg package
- medusa.plots package
- Submodules
- medusa.artifact_removal module
- medusa.classification_utils module
- medusa.components module
AlgorithmBiosignalDataCheckTreeStructureConsistencyCheckerCustomBiosignalDataCustomExperimentDataDatasetExperimentDataPickleableComponentPipelinePipelineConnectorProcessingClassWrapperProcessingFuncWrapperProcessingMethodRecordingRecording.__init__()Recording.add_bioimaging()Recording.add_biosignal()Recording.add_custom_data()Recording.add_experiment_data()Recording.cast_biosignal()Recording.cast_experiment()Recording.from_serializable_obj()Recording.get_biosignals_with_class_name()Recording.get_experiments_with_class_name()Recording.rename_attribute()Recording.to_serializable_obj()
SerializableComponentSerializableComponent.from_serializable_obj()SerializableComponent.load()SerializableComponent.load_from_bson()SerializableComponent.load_from_json()SerializableComponent.load_from_mat()SerializableComponent.load_from_pickle()SerializableComponent.save()SerializableComponent.save_to_bson()SerializableComponent.save_to_json()SerializableComponent.save_to_mat()SerializableComponent.save_to_pickle()SerializableComponent.to_serializable_obj()
SettingsTreeItemThreadWithReturnValueTreeDict
- medusa.deep_learning_models module
- medusa.ecg module
ChannelNotFoundECGECGChannelSetECGChannelSet.__init__()ECGChannelSet.add_channel()ECGChannelSet.check_channels_labels()ECGChannelSet.from_serializable_obj()ECGChannelSet.get_cha_idx_from_labels()ECGChannelSet.set_ground()ECGChannelSet.set_montage()ECGChannelSet.set_standard_montage()ECGChannelSet.subset()ECGChannelSet.to_serializable_obj()
UnlocatedChannelget_standard_montage()
- medusa.emg module
- medusa.eog module
- medusa.epoching module
- medusa.frequency_filtering module
- medusa.nirs module
- medusa.notify_me module
- medusa.optimization module
- medusa.performance_analysis module
- medusa.pytorch_integration module
- medusa.signal_generators module
- medusa.signal_orthogonalization module
- medusa.spatial_filtering module
- medusa.stats module
- medusa.transforms module
- medusa.utils module
- Subpackages