Seizure prediction—ready for a new era

L Kuhlmann, K Lehnertz, MP Richardson… - Nature Reviews …, 2018 - nature.com
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

EEG seizure detection and prediction algorithms: a survey

TN Alotaiby, SA Alshebeili, T Alshawi, I Ahmad… - EURASIP Journal on …, 2014 - Springer
Epilepsy patients experience challenges in daily life due to precautions they have to take in
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …

A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals

ΚΜ Tsiouris, VC Pezoulas, M Zervakis… - Computers in biology …, 2018 - Elsevier
The electroencephalogram (EEG) is the most prominent means to study epilepsy and
capture changes in electrical brain activity that could declare an imminent seizure. In this …

Seizure forecasting and cyclic control of seizures

RE Stirling, MJ Cook, DB Grayden, PJ Karoly - Epilepsia, 2021 - Wiley Online Library
Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …

Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble

M Li, W Chen, T Zhang - Biomedical Signal Processing and Control, 2017 - Elsevier
Epilepsy is a neurological disorder of brain which is characterized by recurrent disorders.
And people with epilepsy and their families frequently suffer from stigma and discrimination …

Epileptic seizure prediction using CSP and LDA for scalp EEG signals

TN Alotaiby, SA Alshebeili, FM Alotaibi… - Computational …, 2017 - Wiley Online Library
This paper presents a patient‐specific epileptic seizure predication method relying on the
common spatial pattern‐(CSP‐) based feature extraction of scalp electroencephalogram …

Seizure prediction based on transformer using scalp electroencephalogram

J Yan, J Li, H Xu, Y Yu, T Xu - Applied Sciences, 2022 - mdpi.com
Epilepsy is a chronic and recurrent brain dysfunction disease. An acute epileptic attack will
interfere with a patient's normal behavior and consciousness, having a great impact on their …

Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection

B Zhu, U Shin, M Shoaran - IEEE transactions on biomedical …, 2021 - ieeexplore.ieee.org
The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …

Reinforcement learning for intelligent healthcare systems: A review of challenges, applications, and open research issues

AA Abdellatif, N Mhaisen, A Mohamed… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare
expenditure and mortality rates. This calls for transforming healthcare systems away from …

An ultra-low power reconfigurable biomedical ai processor with adaptive learning for versatile wearable intelligent health monitoring

J Liu, J Fan, Z Zhong, H Qiu, J **ao… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Wearable intelligent health monitoring devices with on-device biomedical AI processor can
be used to detect the abnormity in users' biomedical signals (eg, ECG arrythmia …