Abstract
Epilepsy is a very common neurological disease that has affected more than 65 million people worldwide. In more than 30 % of the cases, people affected by this disease cannot be cured with medicines or surgery. However, predicting a seizure before it actually occurs can help in its prevention; through therapeutic intervention. Studies have observed that abnormal activity inside the brain begins a few minutes before the start of a seizure, which is known as preictal state. Many researchers have tried to find a way for predicting this preictal state of a seizure but an effective prediction in terms of high sensitivity and specificity still remains a challenge. The current study, proposes a seizure prediction system that employs deep learning methods. This method includes preprocessing of scalp EEG signals, automated features extraction; using convolution neural network and classification with the support of vector machines. The proposed method has been applied on 24 subjects of scalp EEG dataset of CHBMIT resulting in successfully achieving an average sensitivity and specificity of 92.7% and 90.8% respectively.
Highlights
Epilepsy is a neurological disorder in which a patient undergoes frequent seizures
These signals can be recorded by placing EEG electrodes on the scalp of patients known as scalp EEG or by implantation of electrodes inside the brain tissues called intracranial EEG signals [2]
PROPOSED METHOD We propose a seizure prediction method that predicts start of preictal state few minutes before the seizure onset occurs
Summary
More than 1% of the world population is affected by this disease [1] Patients affected by this disease can be treated with medicines or by surgical treatments. It has been observed that if seizures have occurred in more than 30% of the cases patient’s subsequent seizures cannot be controlled with current methods of treatments that include medicine or surgical procedures. Electroencephalogram (EEG) signals are recorded to monitor the electrical activity inside the brain. These signals can be recorded by placing EEG electrodes on the scalp of patients known as scalp EEG or by implantation of electrodes inside the brain tissues called intracranial EEG (iEEG) signals [2]. In case of any neurological disorder, an abrupt change in the electrical signals inside the brain can be observed through EEG recordings
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
