torch-ecg

Getting started

  • Installation instructions
  • Tutorial

API Reference

  • torch_ecg.databases
    • Base classes
      • PhysioNetDataBase
      • NSRRDataBase
      • CPSCDataBase
      • PSGDataBaseMixin
    • PhysioNet database readers
      • AFDB
      • ApneaECG
      • CINC2017
      • CINC2018
      • CINC2020
      • CINC2021
      • LTAFDB
      • LUDB
      • MITDB
      • QTDB
    • CPSC database readers
      • CPSC2018
      • CPSC2019
      • CPSC2020
      • CPSC2021
    • NSRR database readers
      • SHHS
    • Other database readers
      • CACHET_CADB
      • SPH
    • Miscellaneous
      • BeatAnn
  • torch_ecg.databases.datasets
    • CINC2020Dataset
    • CINC2021Dataset
    • CPSC2019Dataset
    • CPSC2021Dataset
    • LUDBDataset
    • MITDBDataset
  • torch_ecg.models
    • Convolutional neural backbones
      • ResNet
      • RegNet
      • VGG16
      • Xception
      • DenseNet
      • MobileNetV1
      • MobileNetV2
      • MobileNetV3
      • MultiScopicCNN
    • Downstream task models
      • ECG_UNET
      • ECG_SUBTRACT_UNET
      • ECG_CRNN
      • ECG_SEQ_LAB_NET
      • RR_LSTM
    • Saliency analysis
      • GradCam
  • torch_ecg.models.loss
    • WeightedBCELoss
    • BCEWithLogitsWithClassWeightLoss
    • MaskedBCEWithLogitsLoss
    • FocalLoss
    • AsymmetricLoss
  • torch_ecg.augmenters
    • AugmenterManager
    • Augmenter
    • BaselineWanderAugmenter
    • CutMix
    • LabelSmooth
    • Mixup
    • RandomFlip
    • RandomMasking
    • RandomRenormalize
    • StretchCompress
    • StretchCompressOffline
  • torch_ecg._preprocessors
    • PreprocManager
    • PreProcessor
    • BandPass
    • BaselineRemove
    • Normalize
    • MinMaxNormalize
    • NaiveNormalize
    • ZScoreNormalize
    • Resample
    • torch_ecg._preprocessors.preprocess_multi_lead_signal
    • torch_ecg._preprocessors.preprocess_single_lead_signal
  • torch_ecg.preprocessors
    • PreprocManager
    • BandPass
    • BaselineRemove
    • Normalize
    • MinMaxNormalize
    • NaiveNormalize
    • ZScoreNormalize
    • Resample
  • torch_ecg.components
    • Input classes
      • InputConfig
      • WaveformInput
      • FFTInput
      • SpectrogramInput
    • Output classes
      • ClassificationOutput
      • MultiLabelClassificationOutput
      • SequenceTaggingOutput
      • SequenceLabellingOutput
      • WaveDelineationOutput
      • RPeaksDetectionOutput
    • Loggers
      • LoggerManager
    • Metrics
      • ClassificationMetrics
      • RPeaksDetectionMetrics
      • WaveDelineationMetrics
    • Trainer
      • BaseTrainer
  • torch_ecg.utils
    • Neural network auxiliary functions and classes
      • torch_ecg.utils.extend_predictions
      • torch_ecg.utils.compute_output_shape
      • torch_ecg.utils.compute_conv_output_shape
      • torch_ecg.utils.compute_deconv_output_shape
      • torch_ecg.utils.compute_maxpool_output_shape
      • torch_ecg.utils.compute_avgpool_output_shape
      • torch_ecg.utils.compute_sequential_output_shape
      • torch_ecg.utils.compute_module_size
      • torch_ecg.utils.default_collate_fn
      • torch_ecg.utils.compute_receptive_field
      • torch_ecg.utils.adjust_cnn_filter_lengths
      • SizeMixin
      • CkptMixin
    • Signal processing functions
      • torch_ecg.utils.smooth
      • torch_ecg.utils.resample_irregular_timeseries
      • torch_ecg.utils.detect_peaks
      • torch_ecg.utils.remove_spikes_naive
      • torch_ecg.utils.butter_bandpass_filter
      • torch_ecg.utils.get_ampl
      • torch_ecg.utils.normalize
      • torch_ecg.utils.normalize_t
      • torch_ecg.utils.resample_t
    • Data operations
      • torch_ecg.utils.get_mask
      • torch_ecg.utils.class_weight_to_sample_weight
      • torch_ecg.utils.ensure_lead_fmt
      • torch_ecg.utils.ensure_siglen
      • torch_ecg.utils.masks_to_waveforms
      • torch_ecg.utils.mask_to_intervals
      • torch_ecg.utils.uniform
      • torch_ecg.utils.stratified_train_test_split
      • torch_ecg.utils.cls_to_bin
      • torch_ecg.utils.generate_weight_mask
    • Interval operations
      • torch_ecg.utils.overlaps
      • torch_ecg.utils.validate_interval
      • torch_ecg.utils.in_interval
      • torch_ecg.utils.in_generalized_interval
      • torch_ecg.utils.intervals_union
      • torch_ecg.utils.generalized_intervals_union
      • torch_ecg.utils.intervals_intersection
      • torch_ecg.utils.generalized_intervals_intersection
      • torch_ecg.utils.generalized_interval_complement
      • torch_ecg.utils.get_optimal_covering
      • torch_ecg.utils.interval_len
      • torch_ecg.utils.generalized_interval_len
      • torch_ecg.utils.find_extrema
      • torch_ecg.utils.is_intersect
      • torch_ecg.utils.max_disjoint_covering
    • Metrics computations
      • torch_ecg.utils.top_n_accuracy
      • torch_ecg.utils.confusion_matrix
      • torch_ecg.utils.ovr_confusion_matrix
      • torch_ecg.utils.metrics_from_confusion_matrix
      • torch_ecg.utils.compute_wave_delineation_metrics
      • torch_ecg.utils.QRS_score
    • Decorators and Mixins
      • torch_ecg.utils.add_docstring
      • torch_ecg.utils.remove_parameters_returns_from_docstring
      • torch_ecg.utils.default_class_repr
      • ReprMixin
      • CitationMixin
      • torch_ecg.utils.get_kwargs
      • torch_ecg.utils.get_required_args
      • torch_ecg.utils.add_kwargs
    • Path operations
      • torch_ecg.utils.get_record_list_recursive3
    • String operations
      • torch_ecg.utils.dict_to_str
      • torch_ecg.utils.str2bool
      • torch_ecg.utils.nildent
      • torch_ecg.utils.get_date_str
    • Miscellaneous
      • torch_ecg.utils.init_logger
      • torch_ecg.utils.list_sum
      • torch_ecg.utils.dicts_equal
      • MovingAverage
      • Timer
      • torch_ecg.utils.timeout

Examples

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