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Two cases of frequent eye blink treated by acupuncture in children 被引量:1
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作者 Fu-sheng DU Jie-jie PING 《World Journal of Acupuncture-Moxibustion》 CSCD 2021年第3期236-238,共3页
One 11-year-old male case complained with "frequent blink of eyes for 4 years,aggravated for 2 months",and was diagnosed as excessive eye blink.On the base of the treatment of western medicine,acupuncture wa... One 11-year-old male case complained with "frequent blink of eyes for 4 years,aggravated for 2 months",and was diagnosed as excessive eye blink.On the base of the treatment of western medicine,acupuncture was compiled at Fengchi(风池 GB20),Sibai(四白 ST2),Yangbai(阳白 GB14) punctured through to Yuyao(鱼腰 EX-HN4),et al.Another 9-year-old male case complained with "frequent blink of eyes for half a year",and was diagnosed as excessive eye blink too.On the base of the treatment of western medicine,acupuncture was applied at Chize(尺泽 LU5),ST2,GB14 punctured to EX-HN4,Sanyinjiao(三阴交 SP6),Taixi(太溪 KI3),et al.After the treatment,all of the symptoms were disappeared and were not recurred in 1-year follow-up in the two case.Although these two cases share the same disease in western medicine,the etiologies are diverse in traditional Chinese medicine.Hence,the therapeutic methods are different,including various acupoint selections and needling techniques for reducing and reinforcing,which should be thought deeply and applied into clinic. 展开更多
关键词 Excessive eye blink Frequent blink ACUPUNCTURE
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Neural circuit and its functional roles in cerebellar cortex 被引量:1
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作者 汪雷 刘深泉 《Neuroscience Bulletin》 SCIE CAS CSCD 2011年第3期173-184,共12页
Objective To investigate the spike activities of cerebellar cortical cells in a computational network model con- structed based on the anatomical structure of cerebellar cortex. Methods and Results The multicompartmen... Objective To investigate the spike activities of cerebellar cortical cells in a computational network model con- structed based on the anatomical structure of cerebellar cortex. Methods and Results The multicompartment model of neuron and NEURON software were used to study the external influences on cerebellar cortical cells. Various potential spike patterns in these cells were obtained. By analyzing the impacts of different incoming stimuli on the potential spike of Purkinje cell, temporal focusing caused by the granule cell-golgi cell feedback inhibitory loop to Purkinje cell and spa- tial focusing caused by the parallel fiber-basket/stellate cell local inhibitory loop to Purkinje cell were discussed. Finally, the motor learning process of rabbit eye blink conditioned reflex was demonstrated in this model. The simulation results showed that when the afferent from climbing fiber existed, rabbit adaptation to eye blinking gradually became stable under the Spike Timing-Dependent Plasticity (STDP) learning rule. Conclusion The constructed cerebellar cortex network is a reliable and feasible model. The model simulation results confirmed the output signal stability of cerebellar cortex after STDP learning and the network can execute the function of spatial and temporal focusing. 展开更多
关键词 computational network model cerebellar cortex temporal focusing spatial focusing Spike Timing-DependentPlasticity eye blink conditioned reflex
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Face Live Detection Method Based on Physiological Motion Analysis 被引量:2
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作者 王丽婷 丁晓青 方驰 《Tsinghua Science and Technology》 SCIE EI CAS 2009年第6期685-690,共6页
In recent years, face recognition has often been proposed for personal identification. However, there are many difficulties with face recognition systems. For example, an imposter could Iogin the face recognition syst... In recent years, face recognition has often been proposed for personal identification. However, there are many difficulties with face recognition systems. For example, an imposter could Iogin the face recognition system by stealing the facial photograph of a person registered on the facial recognition system. The secudty of the face recognition system requires a live detection system to prevent system Iogin using photographs of a human face. This paper describes an effective, efficient face live detection method which uses physiological motion detected by estimating the eye blinks from a captured video sequence and an eye contour extraction algorithm. This technique uses the conventional active shape model with a random forest classifier trained to recognize the local appearance around each landmark. This local match provides more robustness for optimizing the fitting procedure. Tests show that this face live detection approach successfully discriminates a live human face from a photograph of the registered person's face to increase the face recognition system reliability. 展开更多
关键词 face live detection eye contour extraction eye blink estimation
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