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20212024
most citedNoisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds

30 citations · 81 across the 6 of their papers we have counts for

collaborators

6 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…

cs.CV2023

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization

Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani +3

Cardiovascular diseases are a major cause of mortality globally, and electrocardiograms (ECGs) are crucial for diagnosing them. Traditionally, ECGs are printed on paper. However, t…

eess.AS2022★ 30 cited

Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds

Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi +8

Stethoscope-recorded chest sounds provide the opportunity for remote cardio-respiratory health monitoring of neonates. However, reliable monitoring requires high-quality heart and…

eess.AS2021★ 30 cited

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi +8

Digital stethoscopes in combination with telehealth allow chest sounds to be easily collected and transmitted for remote monitoring and diagnosis. Chest sounds contain important in…

eess.SP2021★ 19 cited

Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction

Fahimeh Jamshidian-Tehrani, Reza Sameni, Christian Jutten

Objective: Mixtures of temporally nonstationary signals are very common in biomedical applications. The nonstationarity of the source signals can be used as a discriminative proper…

math.OC2021★ 2 cited

Model-based Prediction and Optimal Control of Pandemics by Non-pharmaceutical Interventions

Reza Sameni

A model-based signal processing framework is proposed for pandemic trend forecasting and control, by using non-pharmaceutical interventions (NPI) at regional and country levels wor…