Can I read 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) on EtoBox?

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) by Zhang, Zhimin (author);Guan, Kai (author);Qian, Zhaopeng (author);Shen, Fei (author);Liu, Tao (author);Niu, Haijun (author) is a nonfiction available to read on EtoBox.

What is 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) about?

Combinations of steady-state visual evoked potential (SSVEP) and electromyography (EMG) are one of the most widely used hybrid brain-computer interfaces (BCI). For users who are suffering from severe motor impairments and could only control muscles above their necks, the EMG of jaw clench is commonly used together with SSVEP. Traditional asynchronous signal collecting and serial processing method is time-consuming. This study explored the simultaneous classification of SSVEP and jaw clench-related EMG from the same occipital electrodes. A convolutional neural network (CNN) model was adopted to classify the fusion signal after extracting different time and frequency domain features. Synchronous 12class identification from 3 jaw clench patterns and 4 stimulate frequencies was tested on ten subjects. The 10-folder crossvalidation results showed that using only 4 occipital electrodes, the CNN model with continuous wavelet transform feature achieved the overall best 89.3 ± 4.0% accuracy for sync 12-class. Besides, the parallel acquiring and analyzing method has the lowest consuming time. The proposed method could reduce the signal channels and shorten the collect-process time of the SSV

Who reads 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)?

Author

Zhang, Zhimin (author);Guan, Kai (author);Qian, Zhaopeng (author);Shen, Fei (author);Liu, Tao (author);Niu, Haijun (author)

Publisher

IEEE

Published

2021

Language

EN

Category

nonfiction