214 citations · 256 across the 14 of their papers we have counts for
14 papers
ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography
Mohammadsina Hassannia, Matthew A. Reyna, Reza Sameni
Electrocardiogram (ECG) interpretation requires knowledge of cardiology, electrophysiology, clinical diagnosis, ECG waveforms, signal acquisition, and instrumentation. Existing lan…
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Matthew A. Reyna, Zuzana Koscova, Jan Pavlus +11
Objective: Chagas disease is a parasitic infection that is endemic to South America, Central America, and, more recently, the U.S., primarily transmitted by insects. Chronic Chagas…
Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms
Sajjad Karimi, Amit J. Shah, Gari D. Clifford +1
Simultaneous electrocardiography (ECG) and phonocardiogram (PCG) provide a comprehensive, multimodal perspective on cardiac function by capturing the heart's electrical and mechani…
A Noise-Robust Model-Based Approach to T-Wave Amplitude Measurement and Alternans Detection
Zuzana Koscova, Amit Shah, Ali Bahrami Rad +3
T-wave alternans (TWA) is a potential marker for sudden cardiac death, but its reliable analysis is often constrained to noise-free environments, limiting its utility in real-world…
Edge AI for Real-time Fetal Assessment in Rural Guatemala
Nasim Katebi, Mohammad Ahmad, Mohsen Motie-Shirazi +14
Perinatal complications, defined as conditions that arise during pregnancy, childbirth, and the immediate postpartum period, represent a significant burden on maternal and neonatal…
Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test
Sajjad Karimi, Shirin Karimi, Amit J. Shah +2
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effective, imaging techniques like echo…
ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis
Matthew A. Reyna, Deepanshi, James Weigle +10
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and ph…
Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach
Mohsen Motie-Shirazi, Reza Sameni, Peter Rohloff +2
In this study, we present a deep learning framework designed to integrate with our previously developed system that facilitates large-scale 1D fetal Doppler data collection, aiming…
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
Mircea Dumitru, Qiao Li, Erick Andres Perez Alday +3
Objective: Gaussian Processes (GP)-based filters, which have been effectively used for various applications including electrocardiogram (ECG) filtering can be computationally deman…
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Andoni Elola, Elisabete Aramendi, Jorge Oliveira +6
Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly corr…
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models
Ismail Sadiq, Erick A. Perez-Alday, Amit J. Shah +3
Objective: To determine if a realistic, but computationally efficient model of the electrocardiogram can be used to pre-train a deep neural network (DNN) with a wide range of morph…
Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms
Reza Sameni
The fetal electrocardiogram (fECG) was first recorded from the maternal abdominal surface in the early 1900s. During the past fifty years, the most advanced electronics technologie…
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Jorge Oliveira, Francesco Renna, Paulo Dias Costa +12
Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can su…
Deep Sequence Learning for Accurate Gestational Age Estimation from a 25 Doppler Device
Nasim Katebi, Reza Sameni, Gari D. Clifford
Assessing fetal development is usually carried out by techniques such as ultrasound imaging, which is generally unavailable in rural areas due to the high cost, maintenance, skills…