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Importance of methodological choices in data manipulation for validating
  epileptic seizure detection models

Importance of methodological choices in data manipulation for validating epileptic seizure detection models

21 February 2023
U. Pale
T. Teijeiro
David Atienza
ArXivPDFHTML

Papers citing "Importance of methodological choices in data manipulation for validating epileptic seizure detection models"

4 / 4 papers shown
Title
SzCORE: A Seizure Community Open-source Research Evaluation framework
  for the validation of EEG-based automated seizure detection algorithms
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Jonathan Dan
U. Pale
Alireza Amirshahi
William Cappelletti
T. Ingolfsson
...
Adriano Bernini
Luca Benini
S. Beniczky
David Atienza
P. Ryvlin
29
7
0
20 Feb 2024
Combining General and Personalized Models for Epilepsy Detection with
  Hyperdimensional Computing
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
U. Pale
T. Teijeiro
David Atienza
32
6
0
26 Mar 2023
Hyperdimensional computing encoding for feature selection on the use
  case of epileptic seizure detection
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
U. Pale
T. Teijeiro
David Atienza Alonso
36
4
0
16 May 2022
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A
  Review
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed
A. Qayyum
Junaid Qadir
Shobi Sivathamboo
P. Kwan
L. Kuhlmann
T. O'Brien
Adeel Razi
42
221
0
04 Feb 2020
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