ObjectiveTo investigate and analyze the ophthalmic resource distribution and service ability of Leshan City, and provide scientific basis for development of ophthalmology and prevention of blindness. MethodsWe statistically analyzed all departments of ophthalmology in 17 general hospitals of Leshan, including numbers of beds, numbers of health technicians, professional title structure, ophthalmic instruments, levels of operation and service ability in 2012. ResultsThere were 186 ophthalmic beds, 84 ophthalmologists, 6 technicians, 64 nurses, 16 professors, 28 doctors with medium-level title, and 40 residents in the 17 general hospitals of Leshan. There were 184 300 out-patients and 9 920 in-patients with 12 320 operations including 6 211 cataract operations in the year of 2012. ConclusionThe ophthalmic resources and service ability are not equally distributed in Leshan. Most resources are distributed in big hospitals of the urban district. Meanwhile, hospitals in remote areas do not have ophthalmologists or ophthalmologic instruments. We should develop our service ability and work efficiency by continuous learning in order to improve the three-level primary blindness prevention system.
Wearing transfemoral prosthesis is the only way to complete daily physical activity for amputees. Motion pattern recognition is important for the control of prosthesis, especially in the recognizing swing phase and stance phase. In this paper, it is reported that surface electromyography (sEMG) signal is used in swing and stance phase recognition. sEMG signal of related muscles was sampled by Infiniti of a Canadian company. The sEMG signal was then filtered by weighted filtering window and analyzed by height permitted window. The starting time of stance phase and swing phase is determined through analyzing special muscles. The sEMG signal of rectus femoris was used in stance phase recognition and sEMG signal of tibialis anterior is used in swing phase recognition. In a certain tolerating range, the double windows theory, including weighted filtering window and height permitted window, can reach a high accuracy rate. Through experiments, the real walking consciousness of the people was reflected by sEMG signal of related muscles. Using related muscles to recognize swing and stance phase is reachable. The theory used in this paper is useful for analyzing sEMG signal and actual prosthesis control.