-
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data
Depression and post-traumatic stress disorder (PTSD) are psychiatric con...
11/14/2020 ∙ by Ayse S. Cakmak, et al. ∙
0
∙
share
read it
-
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...
09/06/2019 ∙ by Ali Bahrami Rad, et al. ∙
7
∙
share
read it
-
1D Convolutional Neural Network Models for Sleep Arousal Detection
Sleep arousals transition the depth of sleep to a more superficial stage...
03/01/2019 ∙ by Morteza Zabihi, et al. ∙
16
∙
share
read it
-
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...
12/12/2018 ∙ by Zheng Zhao, et al. ∙
14
∙
share
read it
