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@#Objective To carry out a research of terrain recognition on intelligent knee joint from the perspective of pure visual information.Methods The whole experimental environment was illuminated by halogen lamp, which made the brightness and color temperature of the set scene change less. The machine vision module was embedded in the intelligent knee joint control system. The road image data was collected by the camera in real time, and the captured image was processed in grayscale. The normalized cross correlation algorithm (NCC) was used to match the image pattern to identify the corresponding road conditions.Results The accuracy rates of the road vision, up/down hill, and up/down stairs recognized by the machine vision module were 88.6%, 85.3%, 78.4%, 87.5%, and 77.9%, respectively. The recognition effect was good, and the recognition time was within one second, real-time performance was strong.Conclusion The effectiveness and feasibility of intelligent knee joint prosthetic road condition recognition based on pure visual information is proved.
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The performance of intelligent prosthetic knee has an important effect on the realization of physiological gait of transfemoral amputees. A new type of single axis hydraulic damping knee prosthesis was designed based on the analysis of physiological gait. The training methods of the stance and swing phase were proposed. Knee prosthesis test was done through simulation and measurement device. The control target of peak flexion angle during swing of knee prosthesis is chosen to be 60-70°. When the damper valve closure was 0%, maximum swing-phase knee flexion angle of knee prosthesis were (86±2)°, (91±3)° and (97±3)° with the speed of 0.8 m/s, 1.2 m/s and 1.8 m/s, respectively. Once the valve closure was changed, maximum swing-phase knee flexion angle with different speeds could be adjusted between 60° and 70° and the required valve closure percentage were separately 25%, 40% and 70%. The damping adjustment law of intelligent knee prosthesis to achieve physiological gait was revealed.
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Objective To establish the characteristic spectrum of ginkgo leaf tablets,ginkgo leaf capsules,and ginkgo leaf dropping pills.Methods HPLC-ELSD analysis was performed on an Agilent Poroshell 120 EC-C18 column(150 mm×4.6 mm,2.7 μm)with the methanol-0.1% formic acid as mobile phase at the gradient elution mode,flow rate was 0.8 mL·min-1.Results Referring to the reference extract,a total of 12 peaks were established in the characteristic spectrum and selected as the characteristic common peaks.Conclusion The established method was simple and sensitive with good reproducibility,so it could be used to control the quality of ginkgo leaf preparations.
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Objective To explore the feasibility of using the quantitative reference extract of ginkgo leaf total lactones instead of single component reference for the quantitative assay of Ginkgo Folium.Methods HPLC-ELSD method was performed by using a Diamonsil C18 column (250 mm×4.6 mm,5 μm) with methanol-water as the mobile phase at the gradient elution mode.Flow rate was 1.0 mL·min-1.The parameters of ELSD detector were as follows,the drifit tube temperature was 105 ℃,and the flow rate of nitrogen(N2) was 3 L·min-1.Results The linear ranges of ginkgolide A,ginkgolide B,ginkgolide C,and bilobalide were 0.735-5.879 μg (r=0.999 6),0.404-6.060 μg (r=0.999 6),0.296-4.439 μg (r=0.999 6),and 1.001-6.006 μg (r=0.999 7),respectively.The recoveries and RSD of the four components were 95.6% (4.0%),97.3% (4.5%),99.3% (5.0%),and 100.4% (2.1%),respectively.Conclusion The quantitative reference extract of ginkgo leaf total lactones can be used as the substitute for the determination of terpene lactones.
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Objective To control the quality of the species in Dioscorea L. better. Methods An HPLC-ELSD method was developed for the first time to simultaneously determine four bioactive ingredients:dioscin gracillin,protoneodioscin, and protoneogracillin in 31 samples belonging to seven species of Dioscorea L. from different areas. The column was an Inertsil HILIC (250mmx4.6 mm,5pm). The separation was carried out with a gradient program. The mobile phase was acetonitrile-water at a flow rate of 0.8 mL/min. Results The standard curve was rectilinear in the range of 0.464-12.97 gg (r=0.9969) for dioscin, 0.310-7.09 ltg (r = 0.9953) for gracillin, 0.469-11.66 gg (r=0.9970) for protoneodioscin, and 0.276-6.87 gg (r＝0.9992) for protoneogracillin. The recoveries of the markers were 98.1%, 100.1%, 97.2%, and 96.4%, respectively. The contents of the four components were quite different among the seven species of Dioscorea L. Conclusion The proposed HPLC-ELSD method is convenient,fast, accurate, and applicable for simultaneous analysis of multiple bioactive components of species in Dioscorea L.for quality control, which could facilitate discovering new natural resources of steroidal saponin.
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Objective To establish a RP-HPLC fingerprinting analysis method for quality evaluation and control of the four variants of Chrysanthemi Morifoli Flos. Methods RP-HPLC was used to establish the fingerprinting method.Results Despite of the similarity in terms of holistic HPLC chromatograms, the four variants of Chrysanthemi Morifoli Flos exhibit characteristic fingerprints and can be readily recognized by similarity clusters. Conclusion A simple and reliable HPLC fingerprinting method has been developed and validated to authenticate the four variants of Chrysanthemi Morifoli Flos, providing a scientific basis for quality control of Chrysanthemi Morifoli Flos.