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RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
v1v2 (latest)

RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection

15 May 2020
Nicolás I. Tapia
P. Estévez
ArXiv (abs)PDFHTML

Papers citing "RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection"

5 / 5 papers shown
Title
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
Niklas Grieger
S. Mehrkanoon
P. Ritter
Stephan Bialonski
104
0
0
08 May 2025
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI
Rezwan Firuzi
Hamed Ahmadyani
Mohammad Foad Abdi
Dana Naderi
Jahanfar Hassan
Ayub Bokani
AI4CE
105
1
0
07 Nov 2022
Advanced sleep spindle identification with neural networks
Advanced sleep spindle identification with neural networks
L. Kaulen
J. Schwabedal
Jules Schneider
P. Ritter
Stephan Bialonski
56
26
0
06 Feb 2022
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Xue Jiang
Jianhui Zhao
Bo Du
Zhiyong Yuan
102
63
0
16 Sep 2021
The Portiloop: a deep learning-based open science tool for closed-loop
  brain stimulation
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
Nicolas Valenchon
Yann Bouteiller
Hugo R. Jourde
Xavier L'Heureux
Milo Sobral
Emily B. J. Coffey
Giovanni Beltrame
40
13
0
28 Jul 2021
1