An automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16 is proposed to enhance the accuracy of automatic detection of epileptic seizures.Firstly,triaxial accelerometer is used to collect patients'motion signals as a substitute of electroencephalogram signals,and these signals are converted into two-dimensional images through recurrence plots and then subjected to multi-channel fusion for generating multi-channel recurrence plots.Subsequently,squeeze-and-excitation module is employed to improve VGG16,which enhances the network's adaptability to different channels and enables precise classification.Experimental results show that the proposed model achieves the best performance across all indicators,attaining an accuracy of 99.3%,precision of 99.2%,recall rate of 98.9%,and F1-score of 99.0%.This model significantly boosts the accuracy and applicability of epileptic seizure detection,expands the potential of wearable devices for epileptic seizure monitoring in non-clinical settings,and provides a new technical pathway for epilepsy management and research.

An automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16 is proposed to enhance the accuracy of automatic detection of epileptic seizures.Firstly,triaxial accelerometer is used to collect patients'motion signals as a substitute of electroencephalogram signals,and these signals are converted into two-dimensional images through recurrence plots and then subjected to multi-channel fusion for generating multi-channel recurrence plots.Subsequently,squeeze-and-excitation module is employed to improve VGG16,which enhances the network's adaptability to different channels and enables precise classification.Experimental results show that the proposed model achieves the best performance across all indicators,attaining an accuracy of 99.3%,precision of 99.2%,recall rate of 98.9%,and F1-score of 99.0%.This model significantly boosts the accuracy and applicability of epileptic seizure detection,expands the potential of wearable devices for epileptic seizure monitoring in non-clinical settings,and provides a new technical pathway for epilepsy management and research.

Objective:To investigate the possible role of chemokines monocyte chemoattractant protein-1(MCP-1) and macrophage inhibitory protein-1(MIP-1?) in pathogenesis of rheumatoid arthritis(RA).Methods: Enzyme linked immunosorbent assay(ELISA) was used to determine the serum expression of MCP-1 and MIP-1? in 17 patients with early active RA,18 with advanced active RA,and 15 healthy controls(all aged 18-79 years).Clinical activity indices such as the strength of grip,joint pain index,and joint swelling index were assessed in all subjects;and the serological indices such as erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),and rheumatoid factors were also determined.The relationships between serum levels of MCP-1, MIP-1? with the clinical activity indices and serological indices were analyzed.Results: The serum levels of MCP-1 in patients with early and advanced RA were higher than that in the controls(P