braindecode.samplers.RecordingSampler#
- class braindecode.samplers.RecordingSampler(metadata, random_state=None)[source]#
Base sampler simplifying sampling from recordings.
- Parameters:
metadata (pd.DataFrame) – DataFrame with at least one of {subject, session, run} columns for each window in the BaseConcatDataset to sample examples from. Normally obtained with BaseConcatDataset.get_metadata(). For instance, metadata.head() might look like this: +——————-+—————–+—————–+——–+———-+———–+——-+ | i_window_in_trial | i_start_in_trial| i_stop_in_trial | target | subject | session | run | +===================+=================+=================+========+==========+===========+=======+ | 0 | 0 | 500 | -1 | 4 | session_T | run_0 | +——————-+—————–+—————–+——–+———-+———–+——-+ | 1 | 500 | 1000 | -1 | 4 | session_T | run_0 | +——————-+—————–+—————–+——–+———-+———–+——-+ | 2 | 1000 | 1500 | -1 | 4 | session_T | run_0 | +——————-+—————–+—————–+——–+———-+———–+——-+ | 3 | 1500 | 2000 | -1 | 4 | session_T | run_0 | +——————-+—————–+—————–+——–+———-+———–+——-+ | 4 | 2000 | 2500 | -1 | 4 | session_T | run_0 | +——————-+—————–+—————–+——–+———-+———–+——-+
random_state (np.RandomState | int | None) – Random state.
- info#
Series with MultiIndex index which contains the subject, session, run and window indices information in an easily accessible structure for quick sampling of windows.
- Type:
pd.DataFrame
Methods
Examples using braindecode.samplers.RecordingSampler
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Self-supervised learning on EEG with relative positioning
Sleep staging on the Sleep Physionet dataset using Chambon2018 network
Sleep staging on the Sleep Physionet dataset using Eldele2021
Sleep staging on the Sleep Physionet dataset using U-Sleep network