app.deepbeat_data_visualization module

File: app/deepbeat_data_visualization.py Project: 22HLT01 QUMPHY Contact: nando.hegemann@ptb.de Gitlab: https://gitlab.com/qumphy Description: Create images of samples from DeepBeat dataset.

app.deepbeat_data_visualization.main()[source]

Render one PNG grid per DeepBeat split into ../img/deepbeat/.

Return type:

None

app.deepbeat_data_visualization.normalize_signals(signals)[source]

Normalize signal data to [0, 1].

Return type:

ndarray

Parameters:

signals (np.ndarray) – Signal array.

Returns:

Normalized signal array.

app.deepbeat_data_visualization.plot_signal_grid(labels, signals, subject_ids, tag, save_path, dpi=300)[source]

Save a 6x4 grid of randomly sampled PPG signals colored by AF label.

Return type:

None

Parameters:

  • labels (np.ndarray) – Binary AF labels (0/1) for each sample.

  • signals (np.ndarray) – PPG time series.

  • subject_ids (np.ndarray) – Subject IDs.

  • tag (str) – Filename stem and figure title suffix.

  • save_path (str) – Directory the <tag>.png image is written to.

  • dpi (int, optional) – Resolution of image, by default 300.