[
  {
    "Accuracy (TEST-DB)": 79,
    "Accuracy (TRAIN-DB)": 72,
    "code_links": [
      {
        "title": "MIT-LCP/wfdb-python",
        "url": "https://github.com/MIT-LCP/wfdb-python"
      },
      {
        "title": "ikarosilva/wfdb-app-toolbox",
        "url": "https://github.com/ikarosilva/wfdb-app-toolbox"
      }
    ],
    "date": "2014-09-24",
    "date2": 20140924,
    "model": "Feature-based approach (no segmentation)",
    "paper": {
      "title": "An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave",
      "url": "https://cknow.io/lib/74fe1dc344c77990"
    },
    "paper_data_uoa": "74fe1dc344c77990"
  },
  {
    "Accuracy (TEST-DB)": 79,
    "Accuracy (TRAIN-DB)": 62.4,
    "code_links": [
      {
        "title": "fernandoandreotti/cinc-challenge2017",
        "url": "https://github.com/fernandoandreotti/cinc-challenge2017"
      }
    ],
    "date": "2017-09-24",
    "date2": 20170924,
    "model": "ResNet (16 CF, 60s SEG)",
    "paper": {
      "title": "Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG",
      "url": "https://cknow.io/lib/4b22b16edaf718b2"
    },
    "paper_data_uoa": "4b22b16edaf718b2"
  },
  {
    "Accuracy (TEST-DB)": 78,
    "Accuracy (TRAIN-DB)": 76.6,
    "code_links": [
      {
        "title": "MIT-LCP/wfdb-python",
        "url": "https://github.com/MIT-LCP/wfdb-python"
      },
      {
        "title": "ikarosilva/wfdb-app-toolbox",
        "url": "https://github.com/ikarosilva/wfdb-app-toolbox"
      }
    ],
    "date": "2014-09-24",
    "date2": 20140924,
    "model": "Feature-based approach (10 s segments)",
    "paper": {
      "title": "An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave",
      "url": "https://cknow.io/lib/74fe1dc344c77990"
    },
    "paper_data_uoa": "74fe1dc344c77990"
  },
  {
    "Accuracy (TRAIN-DB)": 88,
    "code_links": [
      {
        "title": "Seb-Good/deepecg",
        "url": "https://github.com/Seb-Good/deepecg"
      }
    ],
    "date": "2018-08-17",
    "date2": 20180817,
    "model": "Towards Understanding ECG Rhyth",
    "paper": {
      "title": "Towards understanding ECG rhythm classification using convolutional neural networks and attention mappings",
      "url": "https://cknow.io/lib/cd79710def640e0c"
    },
    "paper_data_uoa": "cd79710def640e0c"
  },
  {
    "F1 (Hidden Test Set)": 0.825,
    "code_links": [
      {
        "title": "hsd1503/ENCASE",
        "url": "https://github.com/hsd1503/ENCASE"
      }
    ],
    "date": "2017-09-24",
    "date2": 20170924,
    "model": "ResNet + Expert Features",
    "paper": {
      "title": "ENCASE: An ENsemble ClASsifiEr for ECG classification using expert features and deep neural networks",
      "url": "https://cknow.io/lib/59b8df519ea82d4b"
    },
    "paper_data_uoa": "59b8df519ea82d4b"
  }
]