Enhancement of Time-Frequency Energy for the Classification of Motor Imagery Electroencephalogram Based on an Improved FitzHugh–Nagumo Neuron System
Brain-computer interface (BCI) based on motor imagery (MI) electroencephalogram (EEG) has become an essential way for rehabilitation, because of the activation and interaction of motor neurons between the brain and rehabilitation devices in recent years. However, due to the discrepancies between ind...
Saved in:
Main Authors: | Ruiquan Chen (Author), Guanghua Xu (Author), Yaguang Jia (Author), Cheng Zhou (Author), Zhao Wang (Author), Jinju Pei (Author), Chengcheng Han (Author), Yi Wang (Author), Sicong Zhang (Author) |
---|---|
Format: | Book |
Published: |
IEEE,
2023-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamical Computations of the FitzHugh- Nagumo Equation
by: Okey Oseloka Onyejekwe
Published: (2021) -
A case of Fitz-Hugh-Curtis syndrome diagnosed by noninvasive metagenomic next-generation sequencing
by: Chengcheng Ding, et al.
Published: (2024) -
Laparoscopy is the best choice to diagnose Fitz-Hugh-Curtis syndrome
by: Muliati Wilamarta, et al.
Published: (2013) -
Pediatric fitz-hugh-curtis syndrome diagnosed by magnetic resonance imaging
by: Kazuaki Shibuya, et al.
Published: (2019) -
SÍNDROME DE FITZ-HUGH-CURTIS COMO HALLAZGO DURANTE CIRUGÍA GINECOLÓGICA
by: Paolo Ricci A, et al.
Published: (2009)