{
  "id": 473921,
  "title": "How to deal with bad channels?",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/473921",
  "author_name": "",
  "post_date": "2024-02-06T14:10:48.638403500Z",
  "votes": 11,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I noticed the data provided needs to be cleaned up, there are some channels with obviously non-usual data. e.g. I plotted the channels for eeg_id 332112789, offset 0, there are quite some channels data goes up and down wildly. One way to deal with it is to clip e.g. data out side of (-500, 500). is there better ideas?<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7852404%2F8e854479674c7c5d347903394f9a1173%2FBildschirmfoto%202024-02-06%20um%2015.08.17.png?generation=1707228677132249&amp;alt=media\"></p>",
  "messages": [
    {
      "id": "2638845",
      "postDate": "02/06/2024 14:10:48",
      "content": "<p>I noticed the data provided needs to be cleaned up, there are some channels with obviously non-usual data. e.g. I plotted the channels for eeg_id 332112789, offset 0, there are quite some channels data goes up and down wildly. One way to deal with it is to clip e.g. data out side of (-500, 500). is there better ideas?<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7852404%2F8e854479674c7c5d347903394f9a1173%2FBildschirmfoto%202024-02-06%20um%2015.08.17.png?generation=1707228677132249&amp;alt=media\"></p>",
      "rawMarkdown": "I noticed the data provided needs to be cleaned up, there are some channels with obviously non-usual data. e.g. I plotted the channels for eeg_id 332112789, offset 0, there are quite some channels data goes up and down wildly. One way to deal with it is to clip e.g. data out side of (-500, 500). is there better ideas?\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7852404%2F8e854479674c7c5d347903394f9a1173%2FBildschirmfoto%202024-02-06%20um%2015.08.17.png?generation=1707228677132249&alt=media)",
      "votes": null
    },
    {
      "id": "2641803",
      "postDate": "02/07/2024 17:14:23",
      "content": "<p>I think that data preprocessing will be a big differentiator in the competition, I am studying the subject in more depth, a point that the literature talks about a lot is the removal of artifacts, have you taken a look at this?</p>",
      "rawMarkdown": "I think that data preprocessing will be a big differentiator in the competition, I am studying the subject in more depth, a point that the literature talks about a lot is the removal of artifacts, have you taken a look at this?",
      "votes": null
    },
    {
      "id": "2642811",
      "postDate": "02/08/2024 12:40:33",
      "content": "<p>No I havn't, I am new in this area, and have a lot to learn :)</p>",
      "rawMarkdown": "No I havn't, I am new in this area, and have a lot to learn :)",
      "votes": null
    },
    {
      "id": "2642913",
      "postDate": "02/08/2024 13:56:31",
      "content": "<p>The main technique used in the competition is The Bipolar Double Banana Montage<br>\nBelow is a detailed explanation<br>\n<a href=\"https://www.kaggle.com/code/cdeotte/how-to-make-spectrogram-from-eeg\" target=\"_blank\">link</a></p>",
      "rawMarkdown": "The main technique used in the competition is The Bipolar Double Banana Montage\nBelow is a detailed explanation\n[link](https://www.kaggle.com/code/cdeotte/how-to-make-spectrogram-from-eeg)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2641803,
      "author_name": "rafaelzimmermann1",
      "author_url": "",
      "post_date": "02/07/2024 17:14:23",
      "content": "<p>I think that data preprocessing will be a big differentiator in the competition, I am studying the subject in more depth, a point that the literature talks about a lot is the removal of artifacts, have you taken a look at this?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2642811,
          "author_name": "dongzhangzj",
          "author_url": "",
          "post_date": "02/08/2024 12:40:33",
          "content": "<p>No I havn't, I am new in this area, and have a lot to learn :)</p>",
          "votes": null,
          "replies": [
            {
              "id": 2642913,
              "author_name": "rafaelzimmermann1",
              "author_url": "",
              "post_date": "02/08/2024 13:56:31",
              "content": "<p>The main technique used in the competition is The Bipolar Double Banana Montage<br>\nBelow is a detailed explanation<br>\n<a href=\"https://www.kaggle.com/code/cdeotte/how-to-make-spectrogram-from-eeg\" target=\"_blank\">link</a></p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2638845": "I noticed the data provided needs to be cleaned up, there are some channels with obviously non-usual data. e.g. I plotted the channels for eeg_id 332112789, offset 0, there are quite some channels data goes up and down wildly. One way to deal with it is to clip e.g. data out side of (-500, 500). is there better ideas?\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F7852404%2F8e854479674c7c5d347903394f9a1173%2FBildschirmfoto%202024-02-06%20um%2015.08.17.png?generation=1707228677132249&alt=media)",
    "2641803": "I think that data preprocessing will be a big differentiator in the competition, I am studying the subject in more depth, a point that the literature talks about a lot is the removal of artifacts, have you taken a look at this?",
    "2642811": "No I havn't, I am new in this area, and have a lot to learn :)",
    "2642913": "The main technique used in the competition is The Bipolar Double Banana Montage\nBelow is a detailed explanation\n[link](https://www.kaggle.com/code/cdeotte/how-to-make-spectrogram-from-eeg)"
  },
  "source": "meta"
}