research
∙
01/06/2023
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
Objective: Gaussian Processes (GP)-based filters, which have been effect...
share
research
∙
09/27/2022
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Objective: Murmurs are abnormal heart sounds, identified by experts thro...
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
∙
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
∙
11/14/2020
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data
Depression and post-traumatic stress disorder (PTSD) are psychiatric con...
research
∙
09/06/2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Objective: The aim of this study is to develop an automated classificati...
research
∙
03/01/2019
1D Convolutional Neural Network Models for Sleep Arousal Detection
Sleep arousals transition the depth of sleep to a more superficial stage...
research
∙
12/12/2018
