Ali Bahrami Rad | DeepAI

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∙ 01/06/2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising

Objective: Gaussian Processes (GP)-based filters, which have been effect...

0 Mircea Dumitru, et al. ∙

∙ 09/27/2022

Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram

Objective: Murmurs are abnormal heart sounds, identified by experts thro...

0 Andoni Elola, et al. ∙

∙ 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...

0 Ismail Sadiq, et al. ∙

∙ 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...

0 Jorge Oliveira, et al. ∙

∙ 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...

0 Ayse S. Cakmak, et al. ∙

∙ 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...

7 Ali Bahrami Rad, et al. ∙

∙ 03/01/2019

1D Convolutional Neural Network Models for Sleep Arousal Detection

Sleep arousals transition the depth of sleep to a more superficial stage...

16 Morteza Zabihi, et al. ∙

∙ 12/12/2018

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

In this article, we propose a novel ECG classification framework for atr...

14 Zheng Zhao, et al. ∙

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