research
∙
07/21/2023
Beyond Convergence: Identifiability of Machine Learning and Deep Learning Models
Machine learning (ML) and deep learning models are extensively used for ...
share
research
∙
07/04/2023
A Synthetic Electrocardiogram (ECG) Image Generation Toolbox to Facilitate Deep Learning-Based Scanned ECG Digitization
Access to medical data is often limited as it contains protected health ...
research
∙
06/14/2023
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias
Blood pressure is a vital sign that offers important insights into overa...
research
∙
02/01/2023
Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria
Blind source separation (BSS) techniques have revealed to be promising a...
research
∙
01/06/2023
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
Objective: Gaussian Processes (GP)-based filters, which have been effect...
research
∙
09/27/2022
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Objective: Murmurs are abnormal heart sounds, identified by experts thro...
research
∙
01/10/2022
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds
Stethoscope-recorded chest sounds provide the opportunity for remote car...
research
∙
12/28/2021
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models
Objective: To determine if a realistic, but computationally efficient mo...
research
∙
12/24/2021
Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms
The fetal electrocardiogram (fECG) was first recorded from the maternal ...
research
∙
09/29/2021
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications
Digital stethoscopes in combination with telehealth allow chest sounds t...
research
∙
08/20/2021
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction
Objective: Mixtures of temporally nonstationary signals are very common ...
research
∙
08/02/2021
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Cardiac auscultation is one of the most cost-effective techniques used t...
research
∙
05/15/2021
Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks
Nowadays, shallow and deep Neural Networks (NNs) have vast applications ...
research
∙
05/14/2021