A5002058719- ECG Monitoring and Analysis
- Heart Failure Treatment and Management
- Potassium and Related Disorders
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Issues in Pregnancy
- Phonocardiography and Auscultation Techniques
- COVID-19 diagnosis using AI
- SARS-CoV-2 and COVID-19 Research
- Cardiovascular Function and Risk Factors
- Wireless Body Area Networks
- Congenital Heart Disease Studies
- Trauma and Emergency Care Studies
- Voice and Speech Disorders
- Respiratory and Cough-Related Research
- Respiratory Support and Mechanisms
- COVID-19 Clinical Research Studies
- Pediatric health and respiratory diseases
- Advancements in Semiconductor Devices and Circuit Design
- Hormonal Regulation and Hypertension
- Advanced Sensor and Energy Harvesting Materials
- Acute Myocardial Infarction Research
- Renal function and acid-base balance
- Electrolyte and hormonal disorders
- Mechanical Circulatory Support Devices
- Cardiac Structural Anomalies and Repair
Mayo Clinic in Arizona
2014-2025
Mayo Clinic
2016-2024
Mayo Clinic in Florida
2020
WinnMed
2016-2020
Murphy Oil Corporation (United States)
2000
The University of Texas Health Science Center at San Antonio
2000
Miller Children's & Women's Hospital
1998
University of California, Irvine
1998
Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for are often multifactorial. A focused physical evaluation and diagnostic testing can lack sensitivity specificity. objective this study was assess accuracy an artificial intelligence-enabled ECG identify who have left ventricular dysfunction (LVSD).We retrospectively applied a validated algorithm identification LVSD (defined as LV ejection...
Background Hyper‐ and hypokalemia are clinically silent, common in patients with renal or cardiac disease, life threatening. A noninvasive, unobtrusive, blood‐free method for tracking potassium would be an important clinical advance. Methods Results Two groups of hemodialysis (development group, n=26; validation n=19) underwent high‐resolution digital ECG recordings had 2 to 3 blood tests during dialysis. Using advanced signal processing, we developed a personalized regression model each...
Abstract Aims Electrocardiogram (ECG)-enabled stethoscope (ECG-Scope) acquires a single-lead ECGs during cardiac auscultation and may facilitate real-time screening for pathologies not routinely identified by alone. We previously demonstrated an artificial intelligence (AI) algorithm can identify left ventricular dysfunction (LVSD) [defined as ejection fraction (EF) ≤ 40%] with area under the curve (AUC) of 0.91 using 12-lead ECG. Methods results One hundred patients referred clinically...
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual care or artificial intelligence (AI)-guided screening assess its impact on diagnosis left ventricular systolic dysfunction (LVSD) in perinatal period. The study intervention included digital stethoscope recordings with point of-care AI predictions a 12-lead electrocardiogram asynchronous for LVSD. primary end was...
Emerging medical technology has allowed for monitoring of heart rhythm abnormalities using smartphone compatible devices. The safety and utility such devices have not been established in patients with cardiac implantable electronic (CIEDs). We sought to assess the compatibility Food Drug Administration-approved AliveCor Kardia device CIEDs.We prospectively recruited CIED a recording during their routine interrogation. A was obtained paced nonpaced states. Adverse clinical events were noted...
ObjectiveTo evaluate the ability of a neural network to identify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using point-of-care electrocardiography obtained with portable device.Patient and MethodsWe enrolled 2827 patients in prospective observational study, from December 10, 2020, through June 4, 2021, determine accuracy point-of-care, handheld, smartphone-compatible, artificial intelligence–enabled (ECG) (POC AI-ECG) detecting asymptomatic SARS-CoV-2 modified...
Background: Potassium abnormalities can cause lifethreatening arrhythmias. Measuring potassium requires access to blood. We have developed methods measuring noninvasively using the processed, signalaveraged ECG. Four patients, in a larger study, were found unexpected discrepancies between measured blood and ECG-derived estimated values. Methods: Of 240 patients enrolled at 17 sites PORTEND (REVEAL-HD) 200 wore continuouslyrecording, single-lead, wireless ECG patch. Blood for chemistries was...