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1.
Journal of Practical Radiology ; (12): 1831-1834, 2018.
Article in Chinese | WPRIM | ID: wpr-733369

ABSTRACT

Objective To investigate the abnormal region of gray matter and distribution in long-term night shift physicians of the emergency department,and explore the brain structural changes closely related to long-term chronic sleep loss.Methods The study was carried out among two groups of medical staff,with the chronic sleep deprived(CSD)group(n=15)performing a fixed night work and the regular sleep controls (RSC)group (n=15)working regularly during the day at our hospital.Both groups were age-and gender-matched.The data of two groups were analyzed using voxel-based morphometry (VBM)based on SPM8 to generate gray maps.Results Compared to the RSC group without night shifts,increased gray matter volume in the CSD group was observed in the middle temporal gyrus,inferior frontal fyrus,insula,thalamus,posterior cingulate,medial frontal gyrus,inferior parietal lobule and postcentral gyrus (P<0.05).Conclusion These findings suggest that long-term,chronic sleep loss is associated with the change of the gray matter volume in the network,and may have a neuroanatomical basis.The brain structural changes are related with the domains of emotion and language,this contributes to further explore on the neural mechanism of the effects of the long-term night shift on brain function.

2.
Article in Chinese | WPRIM | ID: wpr-506967

ABSTRACT

[Objective]To investigate the micro-structural alterations within whole brain white matter(WM) in cough syrup abuse addiction patients containing codeine,and to explore the correlation between aberrant WH and abuse time of cough medicine abuse patients.[Methods]Thirty cough syrup abuse addiction patients containing codeine and 30 controls participated in the study. Structural changes in FA and(mean diffusivity)MD were examined in cough syrup abuse addiction patients containing codeine which derived from DTI tractography. Pearson correlation analysis was performed to compare the mean FA value and duration of cough syrup abuse addiction in patients.[Results]Cough syrup abuse addiction patients containing codeine had lower FA value in bilateral anterior limb of internal capsule(ALIC)and higher MD in the bilateral hippocampus and insula,right anterior cingulate cortex(ACC)and superior temporal gyrus,compared to the controls. Cough syrup abuse addiction group also had positive correlation between mean FAvalues and duration of cough syrup abuse addiction in patients.[Conclusion]Micro-structural alterations within whole brain white matter(WM)are found in cough syrup abuse addiction patients containing codeine. This disturbance progresses as duration increases of cough syrup abuse addiction in patients.

3.
Article in Chinese | WPRIM | ID: wpr-586961

ABSTRACT

This paper introduces the low-power design of a portable wireless ECG monitor which adopts MC35 GPRS module.At first,it presents the hardware and software system.Secondly,according to the principle of low-power design,it describes the low-power design methods from the aspects of hardware and software respectively.Finally,this paper discusses how to improve this power management system.In practice,this design efficiently reduces the power-consuming,and prolongs the working time of the monitor.

4.
Article in Chinese | WPRIM | ID: wpr-588164

ABSTRACT

Along with the increasing medical image data,it is imperative to set up an effective system about medical image retrieval.Essentially,the image classification is crucial for medical image retrieval.As a distribution pattern of image gray scale,texture is an important character.Wavelet multi-scale decomposition is essentially multi-channel filtering and its multi-resolution analysis structure is identical with human visual system.So the extraction of texture feature under different resolutions after multi-band wavelets transform is of great benefit to image recognition and image retrieval.Consequently,this paper designs an image classification method based on eight-band wavelet.This method solves the key technology in the medical image retrieval,and it gains very high classification rate.

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