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Sync ECG Examples dataset from main repo

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  1. README.md +4 -5
  2. single_N.csv +1 -180
  3. single_Q.csv +1 -180
  4. single_S.csv +1 -180
  5. single_V.csv +1 -0
README.md CHANGED
@@ -2,17 +2,16 @@
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  license: mit
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  language: []
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  pretty_name: ECG Heartbeat Examples
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- task_categories: [time-series-classification]
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  tags: [ecg, heartbeat, medical-data, hadt]
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- size_categories: 1K<n<10K
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  ---
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  # ECG Heartbeat Examples
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- This dataset contains example ECG heartbeats and short ecgs taken with apple smartwatches. Sources:
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  - Single heartbeats were taken from [MIT-BIH dataset preprocess into heartbeat Python](https://www.kaggle.com/datasets/talal92/mit-bih-dataset-preprocess-into-heartbeat-python)
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- - The dataset above was derived from the [Original MIT-BIH Arrhythmia Dataset on PhysioNet](https://www.physionet.org/content/mitdb/1.0.0/). That dataset contains half-hour annotated ECGs from 48 patients.
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- - Short 30-second ECGs taken with apple watches.
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  These examples are part of the **Heart Arrhythmia Detection Tools (hadt) Project** ([hadt GitHub Repository](https://github.com/fabriciojm/hadt)) and are intended for educational and research purposes.
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  A demo where the dataset is used can be found in the [hadt demo](https://fabriciojm-hadt-app.hf.space/).
 
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  license: mit
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  language: []
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  pretty_name: ECG Heartbeat Examples
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+ task_categories: []
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  tags: [ecg, heartbeat, medical-data, hadt]
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+ size_categories: <1K
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  ---
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  # ECG Heartbeat Examples
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+ This dataset contains example ECG heartbeats. Source:
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  - Single heartbeats were taken from [MIT-BIH dataset preprocess into heartbeat Python](https://www.kaggle.com/datasets/talal92/mit-bih-dataset-preprocess-into-heartbeat-python)
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+ - The dataset above was derived from the [Original MIT-BIH Arrhythmia Dataset on PhysioNet](https://www.physionet.org/content/mitdb/1.0.0/). That dataset contains half-hour annotated ECGs from 48 patients.
 
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  These examples are part of the **Heart Arrhythmia Detection Tools (hadt) Project** ([hadt GitHub Repository](https://github.com/fabriciojm/hadt)) and are intended for educational and research purposes.
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  A demo where the dataset is used can be found in the [hadt demo](https://fabriciojm-hadt-app.hf.space/).
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