Parameter transfer learning based on shallow visual geometry group network and its application in motor imagery classification / 生物医学工程学杂志

Transfer learning is provided with potential research value and application prospect in motor imagery electroencephalography (MI-EEG)-based brain-computer interface (BCI) rehabilitation system, and the source domain classification model and transfer strategy are the two important aspects that directly affect the performance and transfer efficiency of the target domain model. Therefore, we propose a parameter transfer learning method based on shallow visual geometry group network (PTL-sVGG). First, Pearson correlation coefficient is used to screen the subjects of the source domain, and the short-time Fourier transform is performed on the MI-EEG data of each selected subject to acquire the time-frequency spectrogram images (TFSI). Then, the architecture of VGG-16 is simplified and the block design is carried out, and the modified sVGG model is pre-trained with TFSI of source domain. Furthermore, a block-based frozen-fine-tuning transfer strategy is designed to quickly find and freeze the block with the greatest contribution to sVGG model, and the remaining blocks are fine-tuned by using TFSI of target subjects to obtain the target domain classification model. Extensive experiments are conducted based on public MI-EEG datasets, the average recognition rate and Kappa value of PTL-sVGG are 94.9% and 0.898, respectively. The results show that the subjects' optimization is beneficial to improve the model performance in source domain, and the block-based transfer strategy can enhance the transfer efficiency, realizing the rapid and effective transfer of model parameters across subjects on the datasets with different number of channels. It is beneficial to reduce the calibration time of BCI system, which promote the application of BCI technology in rehabilitation engineering.

Review of acupuncture treatment for chronic pharyngitis / 中国针灸

A search in the database of CNKI and VIP access was performed to gather relevant literature about acupuncture treatment for chronic pharyngitis to evaluate and analyze the present situation of clinical research. The results indicate that the combination therapy is the major treatment for chronic pharyngitis, especially in the combination of acupuncture and Chinese herbs. There is great progress in clinic research in which proper scientific methodology was adopted. However, it demands further improvement in research quality, cases quality, diagnostic criteria, evaluation standard of efficacy, quality control and effectiveness of treatment. The research design of investigating mechanism is in accordance with traditional theory of TCM. The results suggest that new ideas and innovative approaches and valuable observation indices should be applied to improve research level.