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Datasets/MMSE-HR

MMSE-HR

Multimodal Spontaneous Expression-Heart Rate dataset

ImagesMedicalUnknown LicenceIntroduced 2016-06-01

The MMSE-HR benchmark consists of a dataset of 102 videos from 40 subjects recorded at 1040x1392 raw resolution at 25fps. During the recordings, various stimuli such as videos, sounds, and smells are introduced to induce different emotional states in the subjects. The ground truth waveform for MMSE-HR is the blood pressure signal sampled at 1000Hz. The dataset contains a diverse distribution of skin colors in the Fitzpatrick scale (II=8, III=11, IV=17, V+VI=4).

Benchmarks

Blood pressure estimation/MAEBlood pressure estimation/MAPE (%)Blood pressure estimation/RMSEBlood pressure estimation/Pearson CorrelationECG Classification/MAEECG Classification/MAPE (%)ECG Classification/RMSEECG Classification/Pearson CorrelationElectrocardiography (ECG)/MAEElectrocardiography (ECG)/MAPE (%)Electrocardiography (ECG)/RMSEElectrocardiography (ECG)/Pearson CorrelationMedical waveform analysis/MAEMedical waveform analysis/MAPE (%)Medical waveform analysis/RMSEMedical waveform analysis/Pearson CorrelationPhotoplethysmography (PPG)/MAEPhotoplethysmography (PPG)/MAPE (%)Photoplethysmography (PPG)/RMSEPhotoplethysmography (PPG)/Pearson Correlation

Statistics

Papers
24
Benchmarks
20

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Tasks

Blood pressure estimationECG ClassificationElectrocardiography (ECG)Heart Rate VariabilityHeart rate estimationMedical waveform analysisPhotoplethysmography (PPG)Photoplethysmography (PPG) beat detectionPhotoplethysmography (PPG) heart rate estimation