Area of research
Cardiology and Cardiovascular Medicine · Biomedical Engineering
Research interest
Research interests include ECG Monitoring and Analysis, Non-Invasive Vital Sign Monitoring, Heart Rate Variability and Autonomic Control, and EEG and Brain-Computer Interfaces.
An Electrocardiogram Foundation Model Built on over 10 Million Recordings
CAISR: achieving human-level performance in automated sleep analysis across all clinical sleep metrics
The Boston Children’s Hospital sleep corpus: a collection of 15695 annotated pediatric polysomnograms
Automated phenotyping of mild cognitive impairment and Alzheimer’s disease and related dementias using electronic health records
Using a standalone ear-EEG device for focal-onset seizure detection
ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization
Neighborhood Resources Associated With Psychological Trajectories and Neural Reactivity to Reward After Trauma
From sleep patterns to heart rhythm: Predicting atrial fibrillation from overnight polysomnograms
The 2023 wearable photoplethysmography roadmap
Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation
Utility of Wrist-Wearable Data for Assessing Pain, Sleep, and Anxiety Outcomes After Traumatic Stress Exposure
The International Cardiac Arrest Research Consortium Electroencephalography Database
Association between microbiome and the development of adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram
Integrating multimodal information in machine learning for classifying acute myocardial infarction
A generalizable electrocardiogram-based artificial intelligence model for 10-year heart failure risk prediction
Internal capsule microstructure mediates the relationship between childhood maltreatment and PTSD following adulthood trauma exposure
Use of serial smartphone-based assessments to characterize diverse neuropsychiatric symptom trajectories in a large trauma survivor cohort
Childhood adversities and risk of posttraumatic stress disorder and major depression following a motor vehicle collision in adulthood
Associations of alcohol and cannabis use with change in posttraumatic stress disorder and depression symptoms over time in recently trauma-exposed individuals
Abstract 17420: Enhanced Identification of Cardiac Wall Motion Abnormalities: An Externally Validated Deep Neural Network Approach Outperforms Expert and Quantitative Analysis of Electrocardiograms
Abstract 17934: Performance of an Electrocardiographic Deep Learning Model for Detecting Wall Motion Abnormalities: An Analysis of Impact From Cardiovascular Comorbidities and Race in an External Validation Study
Abstract 19210: Interpretation of Deep Learning Model That Identifies Regional Myocardial Dysfunction From the Surface Ecg
Abstract 18102: Impact of Regional Cardiac Wall Motion Abnormalities on Ejection Fraction and Mortality: Large Data Enabled by Natural Language Processing
Persistent Dissociation and Its Neural Correlates in Predicting Outcomes After Trauma Exposure
Automated analysis of facial emotions in subjects with cognitive impairment
Structural covariance of the ventral visual stream predicts posttraumatic intrusion and nightmare symptoms: a multivariate data fusion analysis
Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine
Issues in the automated classification of multilead ecgs using heterogeneous labels and populations