Research progress of epileptic seizure prediction
10.3760/cma.j.cn113694-20230311-00178
- VernacularTitle:癫痫发作预测的研究进展
- Author:
Leihao SHA
1
;
Lei CHEN
Author Information
1. 四川大学华西医院神经内科 四川大学华西医院高原健康联合研究所，成都610041
- Keywords:
Epilepsy;
Seizures;
Electroencephalography;
Electrocardiography;
Machine learning;
Wearable device
- From:
Chinese Journal of Neurology
2023;56(11):1309-1318
- CountryChina
- Language:Chinese
-
Abstract:
The unpredictability of seizures can significantly impact the safety, employability, and quality of life for individuals with epilepsy. A reliable seizure prediction system could provide patients with a warning at least a few minutes before a seizure occurs, allowing them to take appropriate action. Recent advances in the use of electroencephalogram, electrocardiogram, periodic rhythm analysis, imaging and wearable devices have provided new insights into the precise prediction of seizures based on multiple indicators. The latest research progress in seizure prediction and future directions for developing epilepsy prediction from research challenges to clinical reality were reviewed in this paper.
