{
  "id": 612773,
  "title": "evalutaion code for kaggle metric?",
  "url": "/competitions/physionet-ecg-image-digitization/discussion/612773",
  "author_name": "",
  "post_date": "2025-10-22T02:35:13.977405800Z",
  "votes": 7,
  "comment_count": 1,
  "views": 0,
  "content": "<p>the correction for the two types of discrepancies is not that obvious (?). Can you have the evalutaion code for kaggle metric SNR?</p>\n<p>\"The evaluation metric for this competition is a modified signal-to-noise ratio (SNR), designed to assess the quality of time series ECG reconstructed from ECG images against the ground-truth ECG time series.</p>\n<p>To ensure that submissions are not unfairly penalized for minor alignment issues that are irrelevant for ECG interpretation …., corrects for two types of discrepancies: Time Shifts and Vertical Shifts …\"</p>",
  "messages": [
    {
      "id": "3305095",
      "postDate": "10/22/2025 02:35:13",
      "content": "<p>the correction for the two types of discrepancies is not that obvious (?). Can you have the evalutaion code for kaggle metric SNR?</p>\n<p>\"The evaluation metric for this competition is a modified signal-to-noise ratio (SNR), designed to assess the quality of time series ECG reconstructed from ECG images against the ground-truth ECG time series.</p>\n<p>To ensure that submissions are not unfairly penalized for minor alignment issues that are irrelevant for ECG interpretation …., corrects for two types of discrepancies: Time Shifts and Vertical Shifts …\"</p>",
      "rawMarkdown": "the correction for the two types of discrepancies is not that obvious (?). Can you have the evalutaion code for kaggle metric SNR?\n\n\"The evaluation metric for this competition is a modified signal-to-noise ratio (SNR), designed to assess the quality of time series ECG reconstructed from ECG images against the ground-truth ECG time series.\n\nTo ensure that submissions are not unfairly penalized for minor alignment issues that are irrelevant for ECG interpretation ...., corrects for two types of discrepancies: Time Shifts and Vertical Shifts ...\"",
      "votes": null
    },
    {
      "id": "3305098",
      "postDate": "10/22/2025 02:49:08",
      "content": "<p>This is the evaluation metric for the competition:<br>\n<a href=\"https://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric\" target=\"_blank\">https://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric</a></p>\n<p>The evaluation code aligns the digitized ECG signal with the reference ECG signal before computing the signal-to-noise ratio (SNR). Small horizontal (time) shifts and vertical (amplitude) shifts do not affect how ECG signals are interpreted in practice, so these changes prevent them from affecting how your reconstructed ECG signals are evaluated for the competition.</p>",
      "rawMarkdown": "This is the evaluation metric for the competition:\nhttps://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric\n\nThe evaluation code aligns the digitized ECG signal with the reference ECG signal before computing the signal-to-noise ratio (SNR). Small horizontal (time) shifts and vertical (amplitude) shifts do not affect how ECG signals are interpreted in practice, so these changes prevent them from affecting how your reconstructed ECG signals are evaluated for the competition.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3305098,
      "author_name": "matthewreyna",
      "author_url": "",
      "post_date": "10/22/2025 02:49:08",
      "content": "<p>This is the evaluation metric for the competition:<br>\n<a href=\"https://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric\" target=\"_blank\">https://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric</a></p>\n<p>The evaluation code aligns the digitized ECG signal with the reference ECG signal before computing the signal-to-noise ratio (SNR). Small horizontal (time) shifts and vertical (amplitude) shifts do not affect how ECG signals are interpreted in practice, so these changes prevent them from affecting how your reconstructed ECG signals are evaluated for the competition.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3305095": "the correction for the two types of discrepancies is not that obvious (?). Can you have the evalutaion code for kaggle metric SNR?\n\n\"The evaluation metric for this competition is a modified signal-to-noise ratio (SNR), designed to assess the quality of time series ECG reconstructed from ECG images against the ground-truth ECG time series.\n\nTo ensure that submissions are not unfairly penalized for minor alignment issues that are irrelevant for ECG interpretation ...., corrects for two types of discrepancies: Time Shifts and Vertical Shifts ...\"",
    "3305098": "This is the evaluation metric for the competition:\nhttps://www.kaggle.com/code/metric/physionet-ecg-signal-extraction-metric\n\nThe evaluation code aligns the digitized ECG signal with the reference ECG signal before computing the signal-to-noise ratio (SNR). Small horizontal (time) shifts and vertical (amplitude) shifts do not affect how ECG signals are interpreted in practice, so these changes prevent them from affecting how your reconstructed ECG signals are evaluated for the competition."
  },
  "source": "meta"
}