1.Rapid simulation of electrode surface treatment based on Monte-Carlo model.
Zhengtian HU ; Ying XU ; Miao GUO ; Zhitong SUN ; Yan LI
Journal of Biomedical Engineering 2014;31(6):1361-1367
Micro- and integrated biosensor provides a powerful means for cell electrophysiology research. The technology of electroplating platinum black on the electrode can uprate signal-to-noise ratio and sensitivity of the sensor. For quantifying analysis of the processing method of electroplating process, this paper proposes a grid search algorithm based on the Monte-Carlo model. The paper also puts forward the operational optimization strategy, which can rapidly implement the process of large-scale nanoparticles with different particle size of dispersion (20-200 nm) attac- hing to the electrode and shortening a simulation time from average 20 hours to 0.5 hour when the test number is 10 and electrode radius is 100 microm. When the nanoparticle was in a single layer or multiple layers, the treatment uniformity and attachment rate was analyzed by using the grid search algorithm with different sizes and shapes of electrode. Simulation results showed that under ideal conditions, when the electrode radius is less than 100 /m, with the electrode size increasing, it has an obvious effect for the effective attachment and the homogeneity of nanoparticle, which is advantageous to the quantitative evaluation of electrode array's repeatability. Under the condition of the same electrode area, the best attachment is on the circular electrode compared to the attachments on the square and rectangular ones.
Algorithms
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Biosensing Techniques
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Electrodes
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Models, Theoretical
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Monte Carlo Method
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Nanoparticles
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Particle Size
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Platinum
2.Improvement effect of electromyographic biofeedback on wrist dorsiflexion function of patients with cerebral infarction at different Brunnstrom stages
Yongxia CHANG ; Jiao LI ; Qiuyun MA ; Wenli HOU ; Lei GE ; Haichao MENG ; Jin HU ; Chong MA ; Zhengtian WANG
Journal of Jilin University(Medicine Edition) 2016;42(5):975-979
Objective:To observe the effect of electromyographic biofeedback on the wrist dirsiflexion function of the patients with cerebral infarction at different Brunnstrom stages, and to clarify the treatment of electromyographic biofeedback,and to provide basis for its clinical application.Methods:A total of 100 cerebral infarction patients were selected.Among them 54 BrunnstromⅠ-Ⅱ patients were randomly divided into treatment group (n= 32)and control group (n = 22),and another 46 Brunnstrom Ⅲ patients were randomly divided into treatment group (n=23)and control group (n=23).The patients in four groups were treated with the same routine stroke rehabilitation therapy while the patients in treatment groups still received the electromyographic biofeedback therapy additionally.The maximum electromyographic contraction of muscle,active range of movement (AROM) and Fugl-Meyers Assessment (FMA)of the extension of wrist joint were evaluated before treatment and 4 and 8 weeks after treatment,respectively.Results:The maximum electromyographic contraction values of muscle of the patients in BrunnstromⅠ-Ⅱ treatment group and control group were significantly improved 8 weeks after treatment (P <0.05),and the value in treatment group was higher than that in control group (P <0.05).The maximum electromyographic contraction value of muscle in Brunnstrom Ⅲ treatment group began to improve 4 weeks after treatment compared with before treatment (P < 0.05) and it was significantly higher than that in control group (P <0.05).The maximum electromyographic contraction value of muscle in Brunnstrom Ⅲ control group began to improve 8 weeks after treatment (P <0.05).The AROM in Brunnstrom Ⅰ-Ⅱ treatment group began to improve 8 weeks after treatment (P <0.05)and it was significantly higher than that in control group (P <0.05)while the AROM in control group had no significant change (P >0.05).The AROM in Brunnstrom Ⅲ treatment group and control group were significantly improved 4 weeks after treatment (P < 0.05 or P < 0.01 ), and the value in treatment group was significantly higher than that in control group (P < 0.05).The FMA in BrunnstromⅠ-Ⅱtreatment group and control group were significantly improved 8 weeks after treatment (P <0.05),while the value in treatment group was higher than that in control group (P <0.05);the FMA in Brunnstrom Ⅲ treatment group began to improve 4 weeks after treatment (P < 0.05)and it was significantly higher than that in control group (P <0.05). The FMA in control group began to improve 8 weeks after treatment (P <0.05). Conclusion:Electromyographic biofeedback can increase the strength and improve the body function of the patients with cerebral infaction.