{
  "id": "arithmetic-rest",
  "title": "Arithmetic & rest",
  "short": "Transfer to a new person",
  "dataset": "EEGMAT",
  "subtitle": "Serial subtraction versus resting EEG",
  "type": "accuracy",
  "subjects": 36,
  "observations": "2,160 epochs · 5 participant-disjoint folds",
  "exposure": "19 channels · 2-second windows",
  "status": "Research preview",
  "xLabel": "Macro F1",
  "yLabel": "Balanced accuracy",
  "limitation": "Thirty nonoverlapping 2-second windows from each of two conditions per person. Published signals were already cleaned with ICA; task performance groups are not evaluated.",
  "protocol": [
    "5 participant-disjoint folds. All recordings from a person stay together. Each person contributes to the held-out predictions once.",
    "First 60 s of each recording; 30 contiguous nonoverlapping 2 s windows; exclude A2-A1 ear-difference and ECG; EDF physical volts converted to microvolts; subtract each channel's window mean; no rejection, filtering, resampling, or learned preprocessing.",
    "One fixed seed (20260919); no early stopping or test-based tuning. EEGNet trains for 20 epochs per fold. Frozen encoders use training-only standardized ridge heads (alpha 100).",
    "Labels: pre-task-rest, mental-arithmetic.",
    "Uniform-guessing reference: 50.00%. Scores weight participants equally. Intervals describe participant variation; cross-validation training sets overlap.",
    "The benchmark detects condition (rest versus serial subtraction), not the good/bad count-quality participant grouping.",
    "Only the first documented 60 seconds is retained even though EDF containers are longer.",
    "The source README reports prior ICA artifact removal, so these are not untouched acquisition signals.",
    "Open Data Commons Attribution License v1.0 applies; retain PhysioNet attribution.",
    "EEGNet three-seed mean 67.52%; sample SD 0.14 percentage points; range 67.36–67.64%. Main table retains the original fixed seed; this is not a confidence interval."
  ],
  "protocolId": "parallel-fixed-subject-folds-v1/physionet-eegmat-1.0.0",
  "version": "PhysioNet EEG During Mental Arithmetic Tasks 1.0.0 · 1.0.0",
  "elapsed": 126.49400083348155,
  "peakGb": null,
  "auditSha": "2d0e4cec78c8d6e5bfc9f5390ba161f4308759e02feffbb8645d6983d9093292",
  "source": "https://physionet.org/content/eegmat/1.0.0/",
  "backend": "Apple M5 / MPS",
  "chanceLevel": 50.0,
  "selection": "EEGNet three-seed mean 67.52%; sample SD 0.14 percentage points; range 67.36–67.64%. Main table retains the original fixed seed; this is not a confidence interval.",
  "summarySha": "ab607e749da1eedcf88441c5b6fd0db55e2ebae0bbd91d6d18e508605eef625b",
  "protocolSha": "5d53ccbd5a00763908162f0b700c0a3236e0d4f9d43b08e42ee31a2ef01aefbf",
  "license": "Open Data Commons Attribution License 1.0",
  "licenseUrl": "https://opendatacommons.org/licenses/by/1-0/",
  "attribution": "Igor Zyma, Ivan Seleznov, Anton Popov, Mariia Chernykh, Oleksii Shpenkov · EEG During Mental Arithmetic Tasks 1.0.0, PhysioNet, doi:10.13026/C2JQ1P. Study: Zyma et al. (2019), doi:10.3390/data4010014. PhysioNet platform: Pollard et al. (2026), doi:10.1038/s44360-026-00096-z.",
  "privacyReview": "Paper reports Bioethics Commission approval (15 August 2018) and written consent from every participant. EDF dates are normalized, but subject-info.csv contains age, gender, occupation, and recording date; those fields must not be published.",
  "reviewedAt": "2026-09-20",
  "reviewBasis": [
    "https://physionet.org/content/eegmat/1.0.0/",
    "https://www.mdpi.com/2306-5729/4/1/14",
    "https://opendatacommons.org/licenses/by/1-0/"
  ],
  "rightsScope": "Personal noncommercial research; aggregate results only",
  "pretrainingOverlap": "Unknown unless explicitly documented; no unseen-pretraining claim.",
  "seedSensitivity": {
    "model": "EEGNet",
    "seeds": [
      20260919,
      20260920,
      20260921
    ],
    "balancedAccuracyPercent": [
      67.63888888888889,
      67.5462962962963,
      67.3611111111111
    ],
    "meanPercent": 67.51543209876543,
    "sampleSdPercentagePoints": 0.1414375214492599,
    "rangePercentagePoints": 0.2777777777777857,
    "auditSha": "17b31f77610fcb5f034eb013774b5f796b96b3f393ec763351f1c4c290e5c194",
    "scope": "Same participants, folds, preprocessing and 20-epoch budget. Three seeds measure initialization variability, not population uncertainty. Main table retains its preselected seed; no best-seed selection."
  }
}