{
  "id": 466768,
  "title": "Resources for getting started with Brain Data - EEG",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/466768",
  "author_name": "",
  "post_date": "2024-01-09T23:33:32.362199400Z",
  "votes": 63,
  "comment_count": 16,
  "views": 0,
  "content": "<p><strong>If you enjoyed this post, follow a similar post on <a href=\"https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129\" target=\"_blank\">Getting Started with Heart data - ECG/EKG</a></strong></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2030387%2F62fdb78946512414b630cb76d781d787%2F41xH6Y4VJ7L.jpg?generation=1704875786521354&amp;alt=media\"><br>\nBelow I compiled a list of resources that might be useful for this challenge:</p>\n<ul>\n<li><strong>MNE package</strong> for working with EEG data <a href=\"https://mne.tools/stable/index.html\" target=\"_blank\">https://mne.tools/stable/index.html</a></li>\n<li>A bible of EEG data analysis - <strong>Neural Time Series Data Analysis book</strong> by Mike X Cohen <a href=\"https://mikexcohen.com/book/Cohen_AnalyzingNeuralTimeSeriesData_TOC.pdf\" target=\"_blank\">Glossary of the Book</a>;  <a href=\"https://www.amazon.de/-/en/Mike-X-Cohen/dp/0262019876\" target=\"_blank\">Amazon link</a></li>\n<li><strong>FieldTrip Package</strong> - though this package is written for Matlab, it has a nice tutorials page that could be helpful in learning the theory <a href=\"https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/\" target=\"_blank\">https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/</a></li>\n<li><strong>Time-Frequency analysis course</strong> by Mike X Cohen <br>\n</li>\n<li><strong>Time and Frequency domain of EEG</strong> by Mike X Cohen <br>\n</li>\n<li><strong>Full EEG course on Udemy</strong> - While the above videos will be sufficient, if you want to delve deeper into the topic, the full course is available for a relatively small price for a quality on Udemy: <a href=\"https://www.udemy.com/course/solved-challenges-ants/\" target=\"_blank\">Complete neural signal processing and analysis: Zero to hero\n</a></li>\n</ul>",
  "messages": [
    {
      "id": "2594517",
      "postDate": "01/09/2024 23:33:32",
      "content": "<p><strong>If you enjoyed this post, follow a similar post on <a href=\"https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129\" target=\"_blank\">Getting Started with Heart data - ECG/EKG</a></strong></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2030387%2F62fdb78946512414b630cb76d781d787%2F41xH6Y4VJ7L.jpg?generation=1704875786521354&amp;alt=media\"><br>\nBelow I compiled a list of resources that might be useful for this challenge:</p>\n<ul>\n<li><strong>MNE package</strong> for working with EEG data <a href=\"https://mne.tools/stable/index.html\" target=\"_blank\">https://mne.tools/stable/index.html</a></li>\n<li>A bible of EEG data analysis - <strong>Neural Time Series Data Analysis book</strong> by Mike X Cohen <a href=\"https://mikexcohen.com/book/Cohen_AnalyzingNeuralTimeSeriesData_TOC.pdf\" target=\"_blank\">Glossary of the Book</a>;  <a href=\"https://www.amazon.de/-/en/Mike-X-Cohen/dp/0262019876\" target=\"_blank\">Amazon link</a></li>\n<li><strong>FieldTrip Package</strong> - though this package is written for Matlab, it has a nice tutorials page that could be helpful in learning the theory <a href=\"https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/\" target=\"_blank\">https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/</a></li>\n<li><strong>Time-Frequency analysis course</strong> by Mike X Cohen <br>\n</li>\n<li><strong>Time and Frequency domain of EEG</strong> by Mike X Cohen <br>\n</li>\n<li><strong>Full EEG course on Udemy</strong> - While the above videos will be sufficient, if you want to delve deeper into the topic, the full course is available for a relatively small price for a quality on Udemy: <a href=\"https://www.udemy.com/course/solved-challenges-ants/\" target=\"_blank\">Complete neural signal processing and analysis: Zero to hero\n</a></li>\n</ul>",
      "rawMarkdown": "**If you enjoyed this post, follow a similar post on [Getting Started with Heart data - ECG/EKG](https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129)**\n\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2030387%2F62fdb78946512414b630cb76d781d787%2F41xH6Y4VJ7L.jpg?generation=1704875786521354&alt=media)\nBelow I compiled a list of resources that might be useful for this challenge:\n- **MNE package** for working with EEG data https://mne.tools/stable/index.html\n- A bible of EEG data analysis - **Neural Time Series Data Analysis book** by Mike X Cohen [Glossary of the Book](https://mikexcohen.com/book/Cohen_AnalyzingNeuralTimeSeriesData_TOC.pdf);  [Amazon link](https://www.amazon.de/-/en/Mike-X-Cohen/dp/0262019876)\n- **FieldTrip Package** - though this package is written for Matlab, it has a nice tutorials page that could be helpful in learning the theory https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/\n- **Time-Frequency analysis course** by Mike X Cohen \n![Link](https://www.youtube.com/watch?v=7ahrcB5HL0k&list=PLn0OLiymPak2BYu--bR0ADNBJsC4kuRWs)\n- **Time and Frequency domain of EEG** by Mike X Cohen \n![Link](https://www.youtube.com/watch?v=fYtVHhk3xJ0&list=PLn0OLiymPak2jxGCbWrcgmXUtt9Lbjj_A)\n- **Full EEG course on Udemy** - While the above videos will be sufficient, if you want to delve deeper into the topic, the full course is available for a relatively small price for a quality on Udemy: [Complete neural signal processing and analysis: Zero to hero\n](https://www.udemy.com/course/solved-challenges-ants/)",
      "votes": null
    },
    {
      "id": "2595106",
      "postDate": "01/10/2024 08:42:46",
      "content": "<p>Thank you.</p>",
      "rawMarkdown": "Thank you.",
      "votes": null
    },
    {
      "id": "2595129",
      "postDate": "01/10/2024 09:02:30",
      "content": "<p>Thank you !!!</p>",
      "rawMarkdown": "Thank you !!!",
      "votes": null
    },
    {
      "id": "2595406",
      "postDate": "01/10/2024 12:06:55",
      "content": "<p>Thank you! </p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "2595467",
      "postDate": "01/10/2024 13:04:55",
      "content": "<p>Wow, thank you so much for sharing the relevant information.</p>",
      "rawMarkdown": "Wow, thank you so much for sharing the relevant information.",
      "votes": null
    },
    {
      "id": "2596060",
      "postDate": "01/10/2024 20:31:26",
      "content": "<p>Thanks, really useful material! Do you may be have some information focused on the quite the same task for ECG? I would be really grateful! </p>",
      "rawMarkdown": "Thanks, really useful material! Do you may be have some information focused on the quite the same task for ECG? I would be really grateful!",
      "votes": null
    },
    {
      "id": "2596150",
      "postDate": "01/10/2024 22:45:16",
      "content": "<p>Stay tuned will do tomorrow 🙂</p>",
      "rawMarkdown": "Stay tuned will do tomorrow 🙂",
      "votes": null
    },
    {
      "id": "2596218",
      "postDate": "01/11/2024 00:17:10",
      "content": "<p>Thank you so much man! </p>",
      "rawMarkdown": "Thank you so much man!",
      "votes": null
    },
    {
      "id": "2596243",
      "postDate": "01/11/2024 01:11:28",
      "content": "<p>It help me better understand the competition data <a href=\"https://www.kaggle.com/iworeushankaonce\" target=\"_blank\">@iworeushankaonce</a> Thanks</p>",
      "rawMarkdown": "It help me better understand the competition data @iworeushankaonce Thanks",
      "votes": null
    },
    {
      "id": "2596669",
      "postDate": "01/11/2024 08:48:30",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129\" target=\"_blank\">https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129</a> here</p>",
      "rawMarkdown": "https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129 here",
      "votes": null
    },
    {
      "id": "2597205",
      "postDate": "01/11/2024 15:11:39",
      "content": "<p>Great, thanks again!</p>",
      "rawMarkdown": "Great, thanks again!",
      "votes": null
    },
    {
      "id": "2597634",
      "postDate": "01/11/2024 18:38:54",
      "content": "<p>Thanks, It's really helpful</p>",
      "rawMarkdown": "Thanks, It's really helpful",
      "votes": null
    },
    {
      "id": "2598367",
      "postDate": "01/12/2024 09:57:44",
      "content": "<p>thanks for the youtube video links!</p>",
      "rawMarkdown": "thanks for the youtube video links!",
      "votes": null
    },
    {
      "id": "2599424",
      "postDate": "01/12/2024 20:16:10",
      "content": "<p>Thanks for the resources brother. It's really useful.</p>",
      "rawMarkdown": "Thanks for the resources brother. It's really useful.",
      "votes": null
    },
    {
      "id": "2632736",
      "postDate": "02/02/2024 15:33:14",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    },
    {
      "id": "2637796",
      "postDate": "02/05/2024 22:03:16",
      "content": "<p>Now I had time to see it after the webinar, the recommendations were very good, the book seems to be phenomenal, I'm already reading it, thank you</p>",
      "rawMarkdown": "Now I had time to see it after the webinar, the recommendations were very good, the book seems to be phenomenal, I'm already reading it, thank you",
      "votes": null
    },
    {
      "id": "2874511",
      "postDate": "06/16/2024 10:33:41",
      "content": "<p>complete research on this topic - <a href=\"https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing\" target=\"_blank\">https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing</a> (sheet -2), here you can find the list of good research papers and there study areas , please have a look.</p>",
      "rawMarkdown": "complete research on this topic - https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing (sheet -2), here you can find the list of good research papers and there study areas , please have a look.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2595106,
      "author_name": "beavonbarnabas",
      "author_url": "",
      "post_date": "01/10/2024 08:42:46",
      "content": "<p>Thank you.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2595129,
      "author_name": "lilachibane",
      "author_url": "",
      "post_date": "01/10/2024 09:02:30",
      "content": "<p>Thank you !!!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2595406,
      "author_name": "jwackito",
      "author_url": "",
      "post_date": "01/10/2024 12:06:55",
      "content": "<p>Thank you! </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2595467,
      "author_name": "orzlala",
      "author_url": "",
      "post_date": "01/10/2024 13:04:55",
      "content": "<p>Wow, thank you so much for sharing the relevant information.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2596060,
      "author_name": "dmitrysakharov",
      "author_url": "",
      "post_date": "01/10/2024 20:31:26",
      "content": "<p>Thanks, really useful material! Do you may be have some information focused on the quite the same task for ECG? I would be really grateful! </p>",
      "votes": null,
      "replies": [
        {
          "id": 2596150,
          "author_name": "iworeushankaonce",
          "author_url": "",
          "post_date": "01/10/2024 22:45:16",
          "content": "<p>Stay tuned will do tomorrow 🙂</p>",
          "votes": null,
          "replies": [
            {
              "id": 2596218,
              "author_name": "dmitrysakharov",
              "author_url": "",
              "post_date": "01/11/2024 00:17:10",
              "content": "<p>Thank you so much man! </p>",
              "votes": null,
              "replies": [
                {
                  "id": 2596669,
                  "author_name": "iworeushankaonce",
                  "author_url": "",
                  "post_date": "01/11/2024 08:48:30",
                  "content": "<p><a href=\"https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129\" target=\"_blank\">https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129</a> here</p>",
                  "votes": null,
                  "replies": [
                    {
                      "id": 2597205,
                      "author_name": "dmitrysakharov",
                      "author_url": "",
                      "post_date": "01/11/2024 15:11:39",
                      "content": "<p>Great, thanks again!</p>",
                      "votes": null,
                      "replies": []
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    },
    {
      "id": 2596243,
      "author_name": "seshurajup",
      "author_url": "",
      "post_date": "01/11/2024 01:11:28",
      "content": "<p>It help me better understand the competition data <a href=\"https://www.kaggle.com/iworeushankaonce\" target=\"_blank\">@iworeushankaonce</a> Thanks</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2597634,
      "author_name": "vishnuraju",
      "author_url": "",
      "post_date": "01/11/2024 18:38:54",
      "content": "<p>Thanks, It's really helpful</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2598367,
      "author_name": "stacknishant",
      "author_url": "",
      "post_date": "01/12/2024 09:57:44",
      "content": "<p>thanks for the youtube video links!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2599424,
      "author_name": "bikashgurung",
      "author_url": "",
      "post_date": "01/12/2024 20:16:10",
      "content": "<p>Thanks for the resources brother. It's really useful.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2632736,
      "author_name": "tiangg",
      "author_url": "",
      "post_date": "02/02/2024 15:33:14",
      "content": "<p>Thank you!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2637796,
      "author_name": "rafaelzimmermann1",
      "author_url": "",
      "post_date": "02/05/2024 22:03:16",
      "content": "<p>Now I had time to see it after the webinar, the recommendations were very good, the book seems to be phenomenal, I'm already reading it, thank you</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2874511,
      "author_name": "ayushtibrewal",
      "author_url": "",
      "post_date": "06/16/2024 10:33:41",
      "content": "<p>complete research on this topic - <a href=\"https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing\" target=\"_blank\">https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing</a> (sheet -2), here you can find the list of good research papers and there study areas , please have a look.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2594517": "**If you enjoyed this post, follow a similar post on [Getting Started with Heart data - ECG/EKG](https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129)**\n\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2030387%2F62fdb78946512414b630cb76d781d787%2F41xH6Y4VJ7L.jpg?generation=1704875786521354&alt=media)\nBelow I compiled a list of resources that might be useful for this challenge:\n- **MNE package** for working with EEG data https://mne.tools/stable/index.html\n- A bible of EEG data analysis - **Neural Time Series Data Analysis book** by Mike X Cohen [Glossary of the Book](https://mikexcohen.com/book/Cohen_AnalyzingNeuralTimeSeriesData_TOC.pdf);  [Amazon link](https://www.amazon.de/-/en/Mike-X-Cohen/dp/0262019876)\n- **FieldTrip Package** - though this package is written for Matlab, it has a nice tutorials page that could be helpful in learning the theory https://www.fieldtriptoolbox.org/tutorial/timefrequencyanalysis/\n- **Time-Frequency analysis course** by Mike X Cohen \n![Link](https://www.youtube.com/watch?v=7ahrcB5HL0k&list=PLn0OLiymPak2BYu--bR0ADNBJsC4kuRWs)\n- **Time and Frequency domain of EEG** by Mike X Cohen \n![Link](https://www.youtube.com/watch?v=fYtVHhk3xJ0&list=PLn0OLiymPak2jxGCbWrcgmXUtt9Lbjj_A)\n- **Full EEG course on Udemy** - While the above videos will be sufficient, if you want to delve deeper into the topic, the full course is available for a relatively small price for a quality on Udemy: [Complete neural signal processing and analysis: Zero to hero\n](https://www.udemy.com/course/solved-challenges-ants/)",
    "2595106": "Thank you.",
    "2595129": "Thank you !!!",
    "2595406": "Thank you!",
    "2595467": "Wow, thank you so much for sharing the relevant information.",
    "2596060": "Thanks, really useful material! Do you may be have some information focused on the quite the same task for ECG? I would be really grateful!",
    "2596150": "Stay tuned will do tomorrow 🙂",
    "2596218": "Thank you so much man!",
    "2596243": "It help me better understand the competition data @iworeushankaonce Thanks",
    "2596669": "https://www.kaggle.com/competitions/hms-harmful-brain-activity-classification/discussion/467129 here",
    "2597205": "Great, thanks again!",
    "2597634": "Thanks, It's really helpful",
    "2598367": "thanks for the youtube video links!",
    "2599424": "Thanks for the resources brother. It's really useful.",
    "2632736": "Thank you!",
    "2637796": "Now I had time to see it after the webinar, the recommendations were very good, the book seems to be phenomenal, I'm already reading it, thank you",
    "2874511": "complete research on this topic - https://docs.google.com/spreadsheets/d/1Buw-kgwWBINSLq0jiaaTV0CW7mCtY_pSJSeXSP_arLI/edit?usp=sharing (sheet -2), here you can find the list of good research papers and there study areas , please have a look."
  },
  "source": "meta"
}