most citedNoninvasive Fetal Electrocardiography: Models, Technologies and Algorithms

11 citations · 11 across the 3 of their papers we have counts for

collaborators

8 papers

eess.SP2024

Notch Filters without Transient Effects: A Constrained Optimization Design

Reza Sameni

Transient responses are an inherent property of recursive filters due to unknown or incorrectly selected initial conditions. Well-designed stable filters are less affected by trans…

q-bio.QM20241 cited

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters

Seyedeh Somayyeh Mousavi, Yuting Guo, Abeed Sarker +1

Hypertension is a global health concern with an increasing prevalence, underscoring the need for effective monitoring and analysis of blood pressure (BP) dynamics. We analyzed a su…

eess.SP20241 cited

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…

cs.IT2023

Notes on Information Propagation in Noisy Multichannel Data Models: Insights into Sensor Selection and Fusion in Multimodal Biomedical Applications

Reza Sameni

Multimodality and multichannel monitoring have become increasingly popular and accessible in engineering, Internet of Things, wearable devices, and biomedical applications. In thes…

cs.LG20232 cited

Beyond Convergence: Identifiability of Machine Learning and Deep Learning Models

Reza Sameni

Machine learning (ML) and deep learning models are extensively used for parameter optimization and regression problems. However, not all inverse problems in ML are ``identifiable,'…

eess.SP2023

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria

Reza Sameni, Frédéric Vrins, Fabienne Parmentier +5

Blind source separation (BSS) techniques have revealed to be promising approaches for, among other, biomedical signal processing applications. Specifically, for the noninvasive ext…