Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy

no code implementations • 26 Mar 2021 • Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu

In this work, rooted in optimal control theory, we propose a Koopman-MPC framework for real-time closed-loop electrical neuromodulation in epilepsy, which integrates i) a deep Koopman operator based dynamical model to predict the temporal evolution of epileptic EEG with an approximate finite-dimensional linear dynamics and ii) a model predictive control (MPC) module to design optimal seizure suppression strategies.

Computational Efficiency EEG +2

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

no code implementations • 5 Feb 2021 • Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu

Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging.

BIG-bench Machine Learning EEG +1