Featured Publications
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Khunte A, Sangha V, Oikonomou E, Dhingra L, Aminorroaya A, Mortazavi B, Coppi A, Brandt C, Krumholz H, Khera R. Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. Npj Digital Medicine 2023, 6: 124. PMID: 37433874, PMCID: PMC10336107, DOI: 10.1038/s41746-023-00869-w.Peer-Reviewed Original ResearchArtificial intelligenceRandom Gaussian noiseNoisy electrocardiogramGaussian noiseElectrocardiogram (ECGWearable devicesSingle-lead electrocardiogramPortable devicesSNRWearableNoiseDevice noiseRepositoryAI-based screeningIntelligenceDetectionDevicesNoise sourcesVentricular systolic dysfunctionModelElectrocardiogramSingle-lead electrocardiographyTraining
2024
ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning
Nowroozilarki Z, Huang S, Khera R, Mortazavi B. ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039094, DOI: 10.1109/embc53108.2024.10782909.Peer-Reviewed Original ResearchConceptsContrastive learningPretraining frameworkEmbedding spaceComprehensive labeled datasetSupervised contrastive learningReal-time monitoring systemLatent representationLabeled dataECG sensorAbnormality detectionWearable devicesECG dataElectrocardiogram dataBalanced accuracyBiomedical waveformsData pointsMonitoring systemLearningFramework
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