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Seizure Detection

4 papers with code ยท Medical

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EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks

arXiv:1908.10432 2019

In this study, we propose a new dimensionality reduction framework for reducing the dimension of CNN inputs based on the tensor decomposition of the time-frequency representation of EEG signals.

DIMENSIONALITY REDUCTION EEG SEIZURE DETECTION

Deep density ratio estimation for change point detection

23 May 2019

In this work, we propose new objective functions to train deep neural network based density ratio estimators and apply it to a change point detection problem.

SEIZURE DETECTION

Temporal Graph Convolutional Networks for Automatic Seizure Detection

3 May 2019

Commonly used deep learning models for time series don't offer a way to leverage structural information, but this would be desirable in a model for structural time series.

SEIZURE DETECTION TIME SERIES

Convolutional neural network for detection and classification of seizures in clinical data

21 Mar 2019

Epileptic seizure detection and classification in clinical electroencephalogram data still is a challenge, and only low sensitivity with a high rate of false positives has been achieved with commercially available seizure detection tools, which usually are patient non-specific.

SEIZURE DETECTION

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification

8 Mar 2019

Automatic classification of epliptic seizure types in EEG datacould enable more precise diagnosis and efficient manage-ment of the disease.

EEG SEIZURE DETECTION

Epileptic seizure classification using statistical sampling and a novel feature selection algorithm

25 Feb 2019

In this work, we propose an automated epileptic seizure detection method by applying a two-step minimization technique: first, we reduce the data points using a statistical sampling technique and then, we minimize the number of features using our novel feature selection algorithm.

EEG FEATURE SELECTION SEIZURE DETECTION

Dynamical Component Analysis (DyCA) and its application on epileptic EEG

5 Feb 2019

Dynamical Component Analysis (DyCA) is a recently-proposed method to detect projection vectors to reduce the dimensionality of multi-variate deterministic datasets.

EEG SEIZURE DETECTION

Machine Learning for Seizure Type Classification: Setting the benchmark

4 Feb 2019

On that note, in this paper, we undertake the first study to explore the application of machine learning algorithms for multi-class seizure type classification.

EEG SEIZURE DETECTION

Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network

14 Jan 2019

We design the SeizNet, a Convolutional Neural Network for seizure detection.

EEG SEIZURE DETECTION