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Models/CHROM

CHROM

Reported on 30 benchmarks across 5 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical18 results

  • ECG ClassificationonUBFC-rPPG
    MAE
    3.1
    best: 0.42 (DRNet)
  • ECG ClassificationonUBFC-rPPG
    Pearson Correlation
    0.93
    best: 0.998 (DRNet)
  • ECG ClassificationonUBFC-rPPG
    RMSE
    6.84
    best: 0.64 (DRNet)
  • ECG ClassificationonMMSE-HR
    MAE
    3.61
    best: 1.72 (Beam AI SDK)
  • ECG ClassificationonMMSE-HR
    Pearson Correlation
    0.85
    best: 0.95 (Beam AI SDK)
  • ECG ClassificationonMMSE-HR
    RMSE
    7.43
    best: 4.03 (Beam AI SDK)
  • Photoplethysmography (PPG)onUBFC-rPPG
    MAE
    3.1
    best: 0.42 (DRNet)
  • Photoplethysmography (PPG)onUBFC-rPPG
    Pearson Correlation
    0.93
    best: 0.998 (DRNet)
  • Photoplethysmography (PPG)onUBFC-rPPG
    RMSE
    6.84
    best: 0.64 (DRNet)
  • Photoplethysmography (PPG)onMMSE-HR
    MAE
    3.61
    best: 1.72 (Beam AI SDK)
  • Photoplethysmography (PPG)onMMSE-HR
    Pearson Correlation
    0.85
    best: 0.95 (Beam AI SDK)
  • Photoplethysmography (PPG)onMMSE-HR
    RMSE
    7.43
    best: 4.03 (Beam AI SDK)
  • Blood pressure estimationonUBFC-rPPG
    MAE
    3.1
    best: 0.42 (DRNet)
  • Blood pressure estimationonUBFC-rPPG
    Pearson Correlation
    0.93
    best: 0.998 (DRNet)
  • Blood pressure estimationonUBFC-rPPG
    RMSE
    6.84
    best: 0.64 (DRNet)
  • Blood pressure estimationonMMSE-HR
    MAE
    3.61
    best: 1.72 (Beam AI SDK)
  • Blood pressure estimationonMMSE-HR
    Pearson Correlation
    0.85
    best: 0.95 (Beam AI SDK)
  • Blood pressure estimationonMMSE-HR
    RMSE
    7.43
    best: 4.03 (Beam AI SDK)

Methodology12 results

  • Electrocardiography (ECG)onUBFC-rPPG
    MAE
    3.1
    best: 0.42 (DRNet)
  • Electrocardiography (ECG)onUBFC-rPPG
    Pearson Correlation
    0.93
    best: 0.998 (DRNet)
  • Electrocardiography (ECG)onUBFC-rPPG
    RMSE
    6.84
    best: 0.64 (DRNet)
  • Electrocardiography (ECG)onMMSE-HR
    MAE
    3.61
    best: 1.72 (Beam AI SDK)
  • Electrocardiography (ECG)onMMSE-HR
    Pearson Correlation
    0.85
    best: 0.95 (Beam AI SDK)
  • Electrocardiography (ECG)onMMSE-HR
    RMSE
    7.43
    best: 4.03 (Beam AI SDK)
  • Medical waveform analysisonUBFC-rPPG
    MAE
    3.1
    best: 0.42 (DRNet)
  • Medical waveform analysisonUBFC-rPPG
    Pearson Correlation
    0.93
    best: 0.998 (DRNet)
  • Medical waveform analysisonUBFC-rPPG
    RMSE
    6.84
    best: 0.64 (DRNet)
  • Medical waveform analysisonMMSE-HR
    MAE
    3.61
    best: 1.72 (Beam AI SDK)
  • Medical waveform analysisonMMSE-HR
    Pearson Correlation
    0.85
    best: 0.95 (Beam AI SDK)
  • Medical waveform analysisonMMSE-HR
    RMSE
    7.43
    best: 4.03 (Beam AI SDK)