A5048704184- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Cardiac Arrhythmias and Treatments
- Atrial Fibrillation Management and Outcomes
- Phonocardiography and Auscultation Techniques
- Cardiac pacing and defibrillation studies
- Cardiac Imaging and Diagnostics
- Cardiomyopathy and Myosin Studies
- Cardiac Arrest and Resuscitation
- Non-Invasive Vital Sign Monitoring
- Cardiovascular Function and Risk Factors
- Blood Pressure and Hypertension Studies
- Cardiovascular Effects of Exercise
- Climate Change and Health Impacts
- Cardiac Health and Mental Health
- Nursing Diagnosis and Documentation
- Ion channel regulation and function
- Sleep and related disorders
- Digital Mental Health Interventions
- Hemodynamic Monitoring and Therapy
- Clinical Reasoning and Diagnostic Skills
- Circadian rhythm and melatonin
- Neuroscience and Neural Engineering
- CO2 Reduction Techniques and Catalysts
Emory University
2019-2024
Oregon Health & Science University
2016-2020
University of Rochester Medical Center
2019
Beth Israel Deaconess Medical Center
2018
Harvard University
2018
University of Manchester
2013-2017
UK Astronomy Technology Centre
2015
Universidad de Guanajuato
2015
Abstract Objective : Vast 12-lead ECGs repositories provide opportunities to develop new machine learning approaches for creating accurate and automatic diagnostic systems cardiac abnormalities. However, most ECG classification studies are trained, tested, or developed in single, small, relatively homogeneous datasets. In addition, algorithms focus on identifying small numbers of arrhythmias that do not represent the complexity difficulty interpretation. This work addresses these issues by...
The PhysioNet/Computing in Cardiology Challenge 2021 focused on the identification of cardiac abnormalities from electrocardiograms (ECGs) and assessed diagnostic potential reduced-lead ECGs relative to standard but less-accessible twelve-lead ECG. We sourced 131,155 recordings with clinical diagnoses seven institutions four countries, sharing 88,253 annotated publicly withholding remaining for validation testing. asked participants design working, open-source algorithms identifying...
Abstract Cardiac auscultation is an accessible diagnostic screening tool that can help to identify patients with heart murmurs for follow-up and treatment abnormal cardiac function. However, experts are needed interpret the sounds, limiting accessibility of care in resource-constrained environments. Therefore, George B. Moody PhysioNet Challenge 2022 invited teams develop algorithmic approaches detecting function from phonocardiogram (PCG) recordings sounds. For Challenge, we sourced 5272...
The PhysioNet/Computing in Cardiology Challenge 2020 focused on the identification of cardiac abnormalities 12-lead electrocardiogram (ECG) recordings.A total 66,361 recordings with clinical diagnoses were sourced from five hospital systems four countries.We shared 43,101 annotated publicly and withheld remaining for validation testing.We challenged participants to design working, opensource algorithms identifying ECG recordings.We data several institutions different demographics, required...
The standard twelve-lead electrocardiogram (ECG) is a widely used tool for monitoring cardiac function and diagnosing disorders. development of smaller, lower-cost, easier-to-use ECG devices may improve access to care in lower-resource environments, but the diagnostic potential these unclear. This work explores issues through public competition: 2021 PhysioNet Challenge. In addition, we explore performance boosting meta-learning approach.
Background: Phthalates are used as plasticizers in the manufacturing of flexible, plastic medical products. Patients can be subjected to high phthalate exposure through contact with devices. We aimed investigate cardiac safety and biocompatibility mono-2-ethylhexyl (MEHP), a documented intensive care patients. Methods: Optical mapping transmembrane voltage pacing studies were performed on isolated, Langendorff-perfused rat hearts assess electrophysiology after MEHP compared controls. dose...
Background Autonomic function can be measured noninvasively using heart rate variability (HRV), which indexes overall sympathovagal balance. Deceleration capacity (DC) of is a more specific metric vagal modulation. Higher values these measures have been associated with reduced mortality risk primarily in patients cardiovascular disease, but their significance community samples less clear. Methods and Results This prospective twin study followed 501 members from the VET (Vietnam Era Twin)...
Rapid atrial arrhythmias such as fibrillation (AF) predispose to ventricular arrhythmias, sudden cardiac death and stroke. Identifying the origin of ectopic activity from electrocardiogram (ECG) can help diagnose early onset AF in a cost-effective manner. The complex rapid electrical during makes it difficult obtain detailed information on activation using standard 12-lead ECG alone. Compared conventional ECG, more lead configurations may provide further about spatio-temporal dynamics body...
Abstract Background Global electrical heterogeneity (GEH) is associated with sudden cardiac death (SCD) in adults of 45 years and above. However, GEH has not been previously measured young athletes. The goal this study was to establish a reference for vectorcardiograpic (VCG) metrics male female Methods Skiers ( n = 140; mean age 19.2 ± 3.5 years; 66% male, 94% white; 53% professional athletes) were enrolled prospective cohort. Resting 12‐lead ECGs interpreted per the International ECG...
Abstract The subject of the PhysioNet/Computing in Cardiology Challenge 2020 was identification cardiac abnormalities 12-lead electrocardiogram (ECG) recordings. A total 66,405 recordings were sourced from hospital systems four distinct countries and annotated with clinical diagnoses, including 43,101 that posted publicly. For this Challenge, we asked participants to design working, open-source algorithms for identifying ECG This provided several innovations. First, data multiple...
Post-Traumatic Stress Disorder (PTSD) is a psychiatric condition resulting from threatening or horrifying events. We hypothesized that circadian rhythm changes, measured by wrist-worn research watch are predictive of post-trauma outcomes. 1618 patients were enrolled after admission to emergency departments (ED). Three standardized questionnaires administered at week eight measure outcomes related PTSD, sleep disturbance, and pain interference with daily life. Pulse activity movement data...
Posttraumatic stress disorder (PTSD) causes heightened fight-or-flight responses to traumatic memories (i.e., hyperarousal). Although hyperarousal is hypothesized cause irregular breathing respiratory variability), no quantitative markers of variability have been shown correspond with PTSD symptoms in humans.
Background In patients with end-stage kidney disease, sudden cardiac death is more frequent after a long interdialytic interval, within 6 hours the end of hemodialysis session. We hypothesized that occurrence paroxysmal arrhythmias associated changes in heart rate and variability different phases hemodialysis. Methods Results conducted prospective ancillary study Predictors Arrhythmic Cardiovascular Risk End Stage Renal Disease cohort. Continuous ECG monitoring was performed using an patch,...
The risk of sudden cardiac death (SCD) is known to be dynamic. However, the accuracy a dynamic SCD prediction unknown. We aimed measure predictive ECG biomarkers and competing non-sudden (non-SCD).
Myocardial ventricular ischemia arises from a lack of blood supply to the heart, which may cause abnormal repolarization and excitation wave conduction patterns in tissue, leading cardiac arrhythmias even sudden death. Current diagnosis by 12-lead electrocardiogram (ECG) has limitations as they are insensitive many cases show unnoticeable differences normal patterns. As magnetic field provides extra information on is more sensitive tangential currents surface chest, whereas electric flux...
Heart rate variability is controlled by the autonomic nervous system. After brain death, this control stops, and heart significantly decreased. However, it unknown if early changes in are predictive of progression to death. We hypothesized that brain-injured children, lower an indicator system failure, predicts additionally explored association between markers dysfunction such as electroencephalogram neurologic examination children who progressed death those survived.Retrospective...
Background: Prolongation of the QT interval electrocardiogram, underlain by prolongation action potential duration (APD) at cellular level, is linked to increased vulnerability cardiac arrhythmia. Pharmacological management arrhythmia associated with typically achieved through attempting restore APD control ranges, reversing enhanced Ca2+-dependent afterdepolarisations (arrhythmia triggers) and transmural dispersion repolarisation substrate) prolongation. However, such pharmacological...
Sex is a well-recognized risk factor for sudden cardiac death (SCD). We hypothesized that sex modifies the association of electrophysiological (EP) substrate with SCD.Participants from Atherosclerosis Risk in Communities study analyzable ECGs (n=14,725; age, 54.2±5.8 yrs; 55% female, 74% white) were included. EP was characterized by heart rate, QRS, QTc, Cornell voltage, spatial ventricular gradient (SVG), and sum absolute QRST integral (SAI QRST) ECG metrics. Two competing outcomes...
Abstract Post‐traumatic stress disorder (PTSD) has been associated with cardiovascular disease (CVD), but the mechanisms remain unclear. Autonomic dysfunction, higher CVD risk, may be triggered by acute PTSD symptoms. We hypothesized that a laboratory‐based trauma reminder challenge, which induces symptoms, provokes autonomic dysfunction in cohort of veteran twins. investigated PTSD‐associated real‐time physiologic changes simulation traumatic experiences twins listened to audio recordings...
The George B. Moody PhysioNet Challenge 2022 explored the detection of abnormal heart function from phonocardiogram (PCG) recordings.Although ultrasound imaging is becoming more common for investigating defects, PCG still has potential to assist with rapid and low-cost screening, automated annotation recordings further improve access.Therefore, this Challenge, we asked participants design working, opensource algorithms that use identify murmurs clinical outcomes.This makes several...