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Seizure Detection

6 papers with code ยท Medical

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Neural Memory Networks for Seizure Type Classification

10 Dec 2019

Inspired by recent advances in neural memory networks (NMNs), we introduce a novel approach for the classification of seizure type using electrophysiological data.

EEG SEIZURE DETECTION

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS

4 Dec 2019

However, on the detection of anomalies, the complexity of the network and computing precision are adaptively increased for accurate predictions.

ANOMALY DETECTION SEIZURE DETECTION

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 IMAGE GENERATION SEIZURE DETECTION TIME SERIES

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