1.Advantages video-assisted minithoracotemy and nursing of patients
Chinese Journal of Practical Nursing 2009;25(15):25-26
Objective To explore the application effect and nursing measure of the video- assisted minithoracotomy in thoracic surgery. Methods 249 cases undergoing thoracic surgery were randomly di-vided into the small incision thoracotomy group (146 cases) and the conventional thoracotomy group(103 eases). The small incision thnracotomy group completed thoracic surgery with video-assisted minithoracoto-my. The conventional thoracotomy group used conventional thoracotomy incision. The operation time,blood loss during operation,indwelling time of thoracic duct and hospitalization time were recorded and compared by t test. Results Ssignificant difference existed in operation time, blood loss during operation, in-dwelling time of thoracic duct and hospitalization time between the two groups. Conclusions Video- as-sisted minithoracotomy in thoracic surgery has the advantages of simple operation, wide indications, few complications and short hospitalization time, which is worthy of clinical application.
2.Design of pulsed magnetic fields stimulation instrument
Jun WEN ; Xuemin QU ; Jiqing YANG ; Sigang WANG ; Kaiping LONG
Chinese Medical Equipment Journal 2003;0(11):-
In this paper,a pulsed magnetic fields stimulation instrument is designed and realized,which provides a pulsed magnetic field with the range of maximal intensity from 0.01~2T,frequency from 0.2~100Hz and time width of pulse from 0.01~1ms.The instrument,controlled by the hand,foot or itself,can display stimulus intensity and times and output trigger signals with different waveforms to make measuring devices operate synchronistically.
3.Nonlinear analysis on the EEG information of rat epileptic model.
Minguang XU ; Kaiping LONG ; Zhong JIAN ; Xiuzhen DONG ; Jiqing YANG ; Sheng HAN ; Wen JIANG
Journal of Biomedical Engineering 2003;20(3):511-514
The aim of this study was to develop a new method of epileptic prediction using nonlinear dynamic theory. When rat was falling sickness, its EEG was researched by using approximate entropy and correlation dimension. The results showed the approximate entropy and correlation dimension during epileptic seizure are obviously lower than those before seizure and after seizure. The span of time before seizure is a special phase. Before the seizure symptom appeared, the complexity of EEG had begun declining. Thus, the outbreak of epilepsy could be predicted in short time using nonlinear dynamic methods.
Algorithms
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Animals
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Disease Models, Animal
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Electroencephalography
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Entropy
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Epilepsy
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diagnosis
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physiopathology
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Male
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Nonlinear Dynamics
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Rats
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Rats, Sprague-Dawley
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Signal Processing, Computer-Assisted