Detection of Pedaling Tasks through EEG Using Extreme Learning Machine for Lower-Limb Rehabilitation Brain-Computer Interfaces
Author:
Affiliation:
1. Federal University of Espirito Santo (UFES),Vitória,Brazil
2. Antonio Nariño University (UAN),Bogotá,Colombia
3. Universidad del Rosario,Bogotá,Colombia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10225685/10225754/10225911.pdf?arnumber=10225911
Reference22 articles.
1. Preliminary study of pedaling motor imagery classification based on EEG signals
2. EEG-Based Lower-Limb Movement Onset Decoding: Continuous Classification and Asynchronous Detection
3. Lower-limb kinematic reconstruction during pedaling tasks from EEG signals using Unscented Kalman filter
4. Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent
5. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals;Biomedical Physics & Engineering Express;2024-03-08
2. EEG-Based Classification of Passive Pedaling Speeds Using SVM: A Promising Approach for Enhancing Lower Limb Rehabilitation Technologies;Communications in Computer and Information Science;2024
3. On the Comparison of Multilayer Perceptron and Extreme Learning Machine for Pedaling Recognition Using EEG;Applications of Computational Intelligence;2023-11-18
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