Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 28; no. 3; pp. 687 - 698
• Main Authors: Jeong, Ji-Hoon, Kwak, No-Sang, Guan, Cuntai, Lee, Seong-Whan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brain-machine interface; Cerebral cortex; Data acquisition; Datasets; Decoding; Electrodes; Electroencephalography; Electromyography; Exoskeleton; Exoskeletons; Filtration; Frequencies; Legged locomotion; Man-machine interfaces; movement-related cortical potentials; Muscles; Spectra; Statistical analysis

An important challenge in developing a movement-related cortical potential (MRCP)-based brain-machine interface (BMI) is an accurate decoding of the user intention for real-world environments. However, the performance remains insufficient for real-time decoding owing to the endogenous signal charact...