Objective. The objective is to evaluate the clinical efficacy of cross electro-nape-acupuncture (CENA) in the treatment of pseudobulbar palsy in patients with tracheotomy intubation for severe cerebral haemorrhage and to provide an innovative acupuncture method for the treatment of such patients. Methods. A total of 126 patients from six trial centres who met the inclusion criteria were randomly divided into three groups according to the random number table method in the ratio of 1 : 1 : 1, with 42 patients in each group, and the three groups were divided into CENA group, electro-acupuncture group, and acupuncture group. Each group’s acupuncture treatment lasted for 30 minutes, and the needles were removed at the end of the treatment. Acupuncture was performed once a week on Sunday only and twice a day from Monday to Saturday, a total of 4 weeks of treatment. The SWT, FDA, ChSWAL-QOL, and TCRGS scores of the three groups of patients before and after treatment were compared to evaluate the effect of CENA on remodelling the function of swallowing reflex and cough reflex and promoting the recovery of dysarthria and swallowing quality of life in pseudobulbar palsy in patients with tracheotomy intubation for severe cerebral haemorrhage. Results. After treatment, the WST and TCRGS grade scores decreased and the FDA and ChSWAL-QOL scores increased significantly in all three groups compared with the pretreatment scores and were statistically significant. There was a significant difference between the three groups for these four indicators after treatment; the comparison between groups showed significant differences in the CENA group compared to the electro-acupuncture and acupuncture groups. The efficiency of the CENA group was significantly better than that of the electro-acupuncture and acupuncture groups. Conclusion. Compared with the acupuncture and electro-acupuncture groups, the CENA could better promote the remodelling of swallowing function and cough reflex function, promote the recovery of dysarthria, and better improve the quality of life of patients with pseudobulbar palsy from tracheotomy intubation in severe cerebral haemorrhage.

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In order to reduce the transmission pressure of the networked system and improve its robust performance, an adaptive innovation event-triggered mechanism is designed for the first time, and based on this mechanism, the robust local filtering algorithm for the multi-sensor networked system with uncertain noise variances and correlated noises is presented. To avoid calculating the complex error cross-covariance matrices, applying the sequential fusion idea, the robust sequential covariance intersection (SCI) and sequential inverse covariance intersection (SICI) fusion estimation algorithms are proposed, and their robustness is analyzed. Finally, it is verified in the simulation example that the proposed adaptive innovation event-triggered mechanism can reduce the communication burden, the robust local filtering algorithm is effective for the uncertainty generated by the unknown noise variances, and two robust sequential fusion estimators show good robustness, respectively.

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