Classification Analysis of Tensor-Based Recovered Missing EEG Data
Classification Analysis of Tensor-Based Recovered Missing EEG Data
This paper discusses impact of recovering missing Electroencephalography (EEG) data on classification accuracy of hand movements using tensor-based methods. Improvement in classification accuracy is important for efficient performance of prosthesis. Classification accuracy relies on quality of the observed data. In practice, observed data is usually incomplete because of disconnection of …