Deep reinforcement learning from error-related potentials via an EEG-based brain-computer interface
T Luo, Y Fan, J Lv - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
Reinforcement learning (RL) from human preferences suffered from temporal and interaction
environments' limitations, which rule out real-time and real-world robotic applications of …
environments' limitations, which rule out real-time and real-world robotic applications of …
A Cloud-based Data Platform for Efficient EEG Data Management, Collaboration, and Analysis
Q Tian, W Wu, Q Zhu, T Cai, S Jiang… - 2023 Asia Pacific …, 2023 - ieeexplore.ieee.org
Electroencephalography (EEG) data plays a crucial role in brain science research as it
provides valuable insights into the mechanisms of brain functions. Typical EEG research …
provides valuable insights into the mechanisms of brain functions. Typical EEG research …
[BOOK][B] Automatic Generalised Seizure Detection in Clinical Electroencephalography Records
D Elliott - 2021 - search.proquest.com
This thesis examines the application of machine learning pipelines for automatic
generalised seizure detection. We begin by introducing the potential pipeline components of …
generalised seizure detection. We begin by introducing the potential pipeline components of …
Analysis of biomedical signal for patterns identification in complex diseases
D Mirarchi - ACM SIGBioinformatics Record, 2019 - dl.acm.org
The human body is made up of many different biological systems that give information about
their health condition. These information are contained in signals generated by the …
their health condition. These information are contained in signals generated by the …