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1.
Chinese Pediatric Emergency Medicine ; (12): 422-426, 2023.
Article in Chinese | WPRIM | ID: wpr-990537

ABSTRACT

Neuromuscular diseases refer to a class of congenital or acquired diseases mainly involving the spinal cord anterior horn motor cells, peripheral nerves, neuromuscular junction and skeletal muscle.The common symptoms and signs include respiratory failure, skeletal malformations, joint contracture, gait abnormalities and movement disorders, and so on.Children in PICU are in more critical conditions.Early systematic, standardized and individualized rehabilitation training can promote the recovery of neuromuscular function, prevent or reduce complications, reduce the incidence and severity of late limb dysfunction, as well as improve the long-term quality of life of children.This review summarized the rehabilitation training of children with neuromuscular disease in PICU.

2.
Journal of Biomedical Engineering ; (6): 1094-1100, 2009.
Article in Chinese | WPRIM | ID: wpr-244684

ABSTRACT

On the basis of analyzing the defects in traditional averaging theory for extracting evoked potential (EP), and by realizing the characteristic of spontaneous electroencephalo-signal (S-EES) as well as the special environment for extracting EP, we propose an auto-reference, auto-correlation, adaptive interference cancellation (AAA-ICT) for use in the single trial of flash visual evoked potential (FVEP). Firstly, the segment of reference signal, which has the best correlation with evoked electroencephalo-signal (E-EES), was obtained using the method for calculating the sliding correlation point by point between E-EES and reference signal; then, the cancellation factor between E-EES and the most correlative reference signal segment was derived by the least square method; at last, the single trial of FVEP was acquired by interference cancellation. By this method, FVEP can be extracted perfectly and the FVEP variability of individual inter-stimulation can be obtained.


Subject(s)
Humans , Algorithms , Electroencephalography , Methods , Evoked Potentials, Visual , Physiology , Signal Processing, Computer-Assisted
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