Features

Data handling and analysis

• Dataset
  • compare_datasets()
• Feature Extraction
  • Sleep Feature Extractor
  • Sources
  • SleepSpectralFeatureExtractor
    • SleepSpectralFeatureExtractor.attenuate()
    • SleepSpectralFeatureExtractor.design_filters()
    • SleepSpectralFeatureExtractor.extraction_functions
    • SleepSpectralFeatureExtractor.prefilter()
    • SleepSpectralFeatureExtractor.process_signal()
• Spectral Features
  • mean_bands()
  • mean_frequency()
  • median_frequency()
  • non_normalized_entropy()
  • non_normalized_entropy_bands()
  • normalized_entropy()
  • normalized_entropy_bands()
  • relative_bands()
• Time Domain Features
  • Time-domain feature extraction
    • Features
  • TimeDomainFeatureExtractor
    • TimeDomainFeatureExtractor.AVAILABLE_FEATURES
  • line_length()
  • tkeo()
• Utils
  • augment_features()
  • balance_classes()
  • find_category_outliers()
  • get_class_count()
  • get_classification_scores()
  • print_classification_scores()
  • remove_features()
  • remove_samples()
  • replace_annotations()
  • zscore()
• Wave Detector
  • Wave detection
    • Two ways to use it
    • Algorithm
    • Trough placement (trough)
    • Edges and gaps
    • Two signals: filtered and unfiltered
    • Outputs (per wave, from detect / detect_waves())
    • Windowed features (__call__)
    • Slope conventions
    • Performance
    • Changes from v1.0.0 (brainmaze-eeg 2.0.0; class version 2.0.0 -> 2.1.0)
  • WaveDetector
    • WaveDetector.cutoff_high
    • WaveDetector.cutoff_low
    • WaveDetector.detect()
    • WaveDetector.edge_margin_s
    • WaveDetector.feature_names
    • WaveDetector.gap_margin_s
  • detect_waves()