title: Nonlinear EEG decoding based on a particle filter model.
abstract: While the world is stepping into the aging society, rehabilitation robots play a more and more important role in terms of both rehabilitation treatment and nursing of the patients with neurological diseases. Benefiting from the abundant contents of movement information, electroencephalography (EEG) has become a promising information source for rehabilitation robots control. Although the multiple linear regression model was used as the decoding model of EEG signals in some researches, it has been considered that it cannot reflect the nonlinear components of EEG signals. In order to overcome this shortcoming, we propose a nonlinear decoding model, the particle filter model. Two- and three-dimensional decoding experiments were performed to test the validity of this model. In decoding accuracy, the results are comparable to those of the multiple linear regression model and previous EEG studies. In addition, the particle filter model uses less training data and more frequency information than the multiple linear regression model, which shows the potential of nonlinear decoding models. Overall, the findings hold promise for the furtherance of EEG-based rehabilitation robots.
authors.affiliation: Xi'an Jiaotong University, Qujiang Campus, West Building No. 5, No. 99 YanXiang Road, YanTa District, Xi'an, Shaanxi 710045, China.
authors.forename: Jinhua
authors.identifier: 0000-0002-1178-2058
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Xi'an Jiaotong University, Qujiang Campus, West Building No. 5, No. 99 YanXiang Road, YanTa District, Xi'an, Shaanxi 710045, China.
authors.forename: Jiongjian
authors.identifier: 0000-0002-0196-8625
authors.initials: J
authors.lastname: Wei
authors.affiliation: Xi'an Jiaotong University, Qujiang Campus, West Building No. 5, No. 99 YanXiang Road, YanTa District, Xi'an, Shaanxi 710045, China.
authors.forename: Baozeng
authors.identifier: 0000-0003-4031-2327
authors.initials: B
authors.lastname: Wang
authors.affiliation: Xi'an Jiaotong University, Qujiang Campus, West Building No. 5, No. 99 YanXiang Road, YanTa District, Xi'an, Shaanxi 710045, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Hong
authors.affiliation: Xi'an Jiaotong University, Qujiang Campus, West Building No. 5, No. 99 YanXiang Road, YanTa District, Xi'an, Shaanxi 710045, China.
authors.forename: Jing
authors.identifier: 0000-0001-8553-7824
authors.initials: J
authors.lastname: Wang
mesh_terms: D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D012371:Robotics