{
  "id": 467839,
  "title": "EEG signal denosing using Wavelet transform",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/467839",
  "author_name": "Yuta Sakuragi",
  "post_date": "2024-01-14T09:41:44.693000",
  "votes": 35,
  "comment_count": 0,
  "views": 0,
  "content": "<p>We have to denoise eeg signal before use because EEG singal has various noises such as eye brink, heart beat.</p>\n<p>I found the denoising method using wavelet transform</p>\n<p>↓ notebook <br>\n<a href=\"https://www.kaggle.com/code/yusaku5739/eeg-signal-denosing-using-wavelet-transform\" target=\"_blank\">EEG signal denosing using Wavelet transform</a></p>\n<p>↓ reference paper<br>\nMamun, M., Al-Kadi, M., &amp; Marufuzzaman, M. (2013). Effectiveness of Wavelet Denoising on Electroencephalogram Signals. Journal of Applied Research and Technology, 11(1). <a href=\"https://doi.org/10.1016/S1665-6423(13)71524-4\" target=\"_blank\">https://doi.org/10.1016/S1665-6423(13)71524-4</a></p>\n<p>They said wavelet transform-based denoising is better than method based on filtering selective filter because wavelet transform-based method  don't lose the frequency data.</p>\n<p><strong>Before Denoising</strong><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2F2aa856c4155013ff3bb8b71f2338a147%2Fbef.png?generation=1705225184947162&amp;alt=media\"></p>\n<p><strong>After Denoising</strong><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2Fc8b322f90d28000c86e75d677ba67341%2Faft.png?generation=1705225208622016&amp;alt=media\"></p>",
  "messages": [
    {
      "id": 2601259,
      "postDate": "2024-01-14T09:41:44.693Z",
      "content": "<p>We have to denoise eeg signal before use because EEG singal has various noises such as eye brink, heart beat.</p>\n<p>I found the denoising method using wavelet transform</p>\n<p>↓ notebook <br>\n<a href=\"https://www.kaggle.com/code/yusaku5739/eeg-signal-denosing-using-wavelet-transform\" target=\"_blank\">EEG signal denosing using Wavelet transform</a></p>\n<p>↓ reference paper<br>\nMamun, M., Al-Kadi, M., &amp; Marufuzzaman, M. (2013). Effectiveness of Wavelet Denoising on Electroencephalogram Signals. Journal of Applied Research and Technology, 11(1). <a href=\"https://doi.org/10.1016/S1665-6423(13)71524-4\" target=\"_blank\">https://doi.org/10.1016/S1665-6423(13)71524-4</a></p>\n<p>They said wavelet transform-based denoising is better than method based on filtering selective filter because wavelet transform-based method  don't lose the frequency data.</p>\n<p><strong>Before Denoising</strong><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2F2aa856c4155013ff3bb8b71f2338a147%2Fbef.png?generation=1705225184947162&amp;alt=media\"></p>\n<p><strong>After Denoising</strong><br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2Fc8b322f90d28000c86e75d677ba67341%2Faft.png?generation=1705225208622016&amp;alt=media\"></p>",
      "rawMarkdown": "We have to denoise eeg signal before use because EEG singal has various noises such as eye brink, heart beat.\n\nI found the denoising method using wavelet transform\n\n↓ notebook \n[EEG signal denosing using Wavelet transform](https://www.kaggle.com/code/yusaku5739/eeg-signal-denosing-using-wavelet-transform)\n\n↓ reference paper\nMamun, M., Al-Kadi, M., & Marufuzzaman, M. (2013). Effectiveness of Wavelet Denoising on Electroencephalogram Signals. Journal of Applied Research and Technology, 11(1). https://doi.org/10.1016/S1665-6423(13)71524-4\n\nThey said wavelet transform-based denoising is better than method based on filtering selective filter because wavelet transform-based method  don't lose the frequency data.\n\n**Before Denoising**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2F2aa856c4155013ff3bb8b71f2338a147%2Fbef.png?generation=1705225184947162&alt=media)\n\n**After Denoising**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2Fc8b322f90d28000c86e75d677ba67341%2Faft.png?generation=1705225208622016&alt=media)",
      "votes": 35
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2601259": "We have to denoise eeg signal before use because EEG singal has various noises such as eye brink, heart beat.\n\nI found the denoising method using wavelet transform\n\n↓ notebook \n[EEG signal denosing using Wavelet transform](https://www.kaggle.com/code/yusaku5739/eeg-signal-denosing-using-wavelet-transform)\n\n↓ reference paper\nMamun, M., Al-Kadi, M., & Marufuzzaman, M. (2013). Effectiveness of Wavelet Denoising on Electroencephalogram Signals. Journal of Applied Research and Technology, 11(1). https://doi.org/10.1016/S1665-6423(13)71524-4\n\nThey said wavelet transform-based denoising is better than method based on filtering selective filter because wavelet transform-based method  don't lose the frequency data.\n\n**Before Denoising**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2F2aa856c4155013ff3bb8b71f2338a147%2Fbef.png?generation=1705225184947162&alt=media)\n\n**After Denoising**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7853876%2Fc8b322f90d28000c86e75d677ba67341%2Faft.png?generation=1705225208622016&alt=media)"
  }
}