Epileptic Seizure Detection by Transfer Learning Considering Ictal-like Non-ictal Signals in Electroencephalogram

Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection

2017 Computing in Cardiology Conference (CinC) ◽

10.22489/cinc.2017.257-052 ◽

2017 ◽

Cited By ~ 1

Author(s):

Thomas De Cooman ◽

Carolina Varon ◽

Anouk Van de Vel ◽

Berten Ceulemans ◽

Lieven Lagae ◽

...

Keyword(s):

Heart Rate ◽

Transfer Learning ◽

Epileptic Seizure ◽

Seizure Detection ◽

Performance Evaluation of Machine Learning Classifiers for Epileptic Seizure Detection

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i8.122129 ◽

2019 ◽

Vol 7 (8) ◽

pp. 122-129

Author(s):

Mirwais Farahi ◽

Doreswamy .

Keyword(s):

Machine Learning ◽

Performance Evaluation ◽

Epileptic Seizure ◽

Seizure Detection ◽

Machine Learning Classifiers ◽

Learning Classifiers

Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-Net Deep Neural Networks

2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) ◽

10.1109/spmb50085.2020.9353630 ◽

2020 ◽

Author(s):

C. Chatzichristos ◽

J. Dan ◽

A. Mundanad Narayanan ◽

N. Seeuws ◽

K. Vandecasteele ◽

...

Keyword(s):

Neural Networks ◽

Epileptic Seizure ◽

Deep Neural Networks ◽

Seizure Detection ◽

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) ◽

Temporal Analysis for Epileptic Seizure Detection by Using Data Mining Approach

10.1109/hpcc-smartcity-dss50907.2020.00175 ◽

2020 ◽

Author(s):

Francesca Pafferi ◽

Gaetano Zazzaro ◽

Angelo Martone ◽

Paolo Bifulco ◽

Luigi Pavone

Keyword(s):

Data Mining ◽

Epileptic Seizure ◽

Temporal Analysis ◽

Seizure Detection ◽

Data Mining Approach ◽

Using Data

2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) ◽

Development of a Wearable 3-Risk Factor Accumulated Epileptic Seizure Detection System with IoT Based Warning Alarm

10.1109/iccca49541.2020.9250757 ◽

2020 ◽

Author(s):

Shams Nafisa Ali ◽

Md. Jahin Alam

Keyword(s):

Risk Factor ◽

Epileptic Seizure ◽

Detection System ◽

Seizure Detection ◽

A review of epileptic seizure detection using machine learning classifiers

Brain Informatics ◽

10.1186/s40708-020-00105-1 ◽

2020 ◽

Vol 7 (1) ◽

Cited By ~ 10

Author(s):

Mohammad Khubeb Siddiqui ◽

Ruben Morales-Menendez ◽

Xiaodi Huang ◽

Nasir Hussain

Keyword(s):

Machine Learning ◽

Epileptic Seizure ◽

Seizure Detection ◽

Machine Learning Classifiers ◽

Learning Classifiers

Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102827 ◽

2021 ◽

Vol 69 ◽

pp. 102827

Author(s):

Tao Zhang ◽

Zhiwu Han ◽

Xiaojuan Chen ◽

Wanzhong Chen

Keyword(s):

Epileptic Seizure ◽

Seizure Detection ◽

Cumulative Sum ◽

Nonlinear Features

Epileptic Seizure Detection With a Reduced Montage: A Way Forward for Ambulatory EEG Devices

IEEE Access ◽

10.1109/access.2020.2983917 ◽

2020 ◽

Vol 8 ◽

pp. 65880-65890 ◽

Cited By ~ 1

Author(s):

Raheel Asif ◽

Sajid Saleem ◽

Syed Ali Hassan ◽

Soltan Abed Alharbi ◽

Awais Mehmood Kamboh

Keyword(s):

Epileptic Seizure ◽

Seizure Detection ◽

On the Fusion of Non-linear features for Epileptic Seizure Detection

International Conference on Signal Processing (ICSP 2016) ◽

10.1049/cp.2016.1463 ◽

2016 ◽

Author(s):

S. Pratiher ◽

P. Bhattacharya

Keyword(s):

Epileptic Seizure ◽

Seizure Detection ◽

Linear Features ◽

Non Linear