يعرض 1 - 20 نتائج من 550 نتيجة بحث عن '"marcha humana"', وقت الاستعلام: 0.69s تنقيح النتائج
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    المساهمون: Domingues, Nuno Alexandre Soares, RCIPL

    وصف الملف: application/pdf

    Relation: Alvarinho JI. Técnicas de modelação e aquisição de formas 3D e tecnologias existentes com aplicação biomédica [dissertation]. Lisboa: Escola Superior de Tecnologia da Saúde de Lisboa – Instituto Superior de Engenharia de Lisboa/Instituto Politécnico de Lisboa; 2023.

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    Academic Journal
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    Academic Journal

    المصدر: Ingeniería; Vol. 29 No. 1 (2024): January-April; e20333 ; Ingeniería; Vol. 29 Núm. 1 (2024): Enero-Abril; e20333 ; 2344-8393 ; 0121-750X

    وصف الملف: application/pdf; text/xml

    Relation: https://revistas.udistrital.edu.co/index.php/reving/article/view/20333/19807; https://revistas.udistrital.edu.co/index.php/reving/article/view/20333/20098; C. A. Oatis, Kinesiology: the mechanics and pathomechanics of human movement, 2nd ed., USA: Lippincott Williams and Wilkins, 2009.; J. L. Sarmiento-Ramos, A. P. Rojas-Ariza and Y. Z. Rueda-Parra, “Dynamic model of flexion/extension and abduction/adduction of the shoulder joint complex,” in 2021 IEEE 2nd Int. Cong. Biomed. Eng. Bioeng., 2021, pp. 1-4. https://doi.org/10.1109/CI-IBBI54220.2021.9626105; J. L. Sarmiento-Ramos and M. F. Anaya-Rojas, “Modelling, design and construction of a wrist rehabilitation exoskeleton,” Scientia et Technica, vol. 27, no. 3, pp. 177-185, Sept. 2022. https://doi.org/10.22517/23447214.24748; J. L. Sarmiento-Ramos, J. C. Suárez-Galvis and V. Grisales-Muñoz, “Exoskeleton for ankle joint flexion/extension rehabilitation,” ITECKNE, vol. 19, no. 2, art. 2773, Jun. 2022. https://doi.org/10.15332/iteckne.v19i2.2773; J. Sun, “Dynamic modeling of human gait using a model predictive control approach,” Ph.D. dissertation, Fac. of the Grad. Sch., Marquette Univ., Milwaukee, USA, 2015. [Online]. Available: https://epublications.marquette.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1481&context=dissertations_mu; F. De Groote and A. Falisse, “Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait,” Proc. R. Soc. B., vol. 288, art. 2432, Mar. 2021. https://doi.org/10.1098/rpsb.2020.2432; Y. Xiang, J. S. Arora and K. Abdel-Malek, “Physics-based modeling and simulation of human walking: A review of optimization-based and other approaches,” Struc. Multidisc. Optim., vol. 42, pp. 1-23. 2010. https://doi.org/10.1007/s00158-010-0496-8; F. L. Buczek, K. M. Cooney, M. R. Walker, M. J. Rainbow, M. C. Concha and J. O. Sanders, “Performance of an inverted pendulum model directly applied to normal human gait,” Clin. Biomech., vol. 21, no. 3, pp. 288-296, 2006. https://doi.org/10.1016/j.clinbiomech.2005.10.007; P. Sun, Y. Gu, H. Mao, Z. Chen and Y. Li, “Research on walking gait planning and simulation of a novel hybrid biped robot,” Biomimetics, vol. 8, no. 2, art. 258, 2023. https://doi.org/10.3390/biomimetics8020258; G. Yu, J. Zhang and W. Bo, “Biped robot gait planning based on 3D linear inverted pendulum model,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 301, art. 012098, 2018. https://doi.org/10.1088/1757-899X/301/1/012098; T. Dong, D. Wang and D. Zhao, “Gait research and simulation analysis of biped robot,” in Proc. SPIE 12305 Int. Symps. Artif. Intell. App. Tech., art. 123050A, 2022. https://doi.org/10.1117/12.2645550; Y. Liu, S. Peng, Y. Du, and W. H. Liao, “Kinematics modeling and gait trajectory tracking for lower limb exoskeleton robot based on PD control with gravity compensation,” in Proc. 38th Chin. Ctrl. Conf., 2019, pp. 4504-4511. https://doi.org/10.23919/ChiCC.2019.8865916; G. Marconi, A. A. Gopalai and S. Chauhan, “A triple compound pendulum model to analyze the effect of an ankle-foot orthosis on swing phase kinematics,” Med. Eng. Phys., vol. 112, art. 103951, 2023. https://doi.org/10.1016/j.medengphy.2023.103951; M. Irine. R. Hirouji, D. Ura, K. Osuka and T. Kinugasa, “Experimental verification of the characteristic behaviors in passive dynamic walking,” Art. Life Robot., vol. 26, pp. 187 – 194, 2021. https://doi.org/10.1007/s10015-020-00670-y; S. Montazeri, M. Sadeghi, A. Niaty, F. Towhidkhah and S. Jafari, “The simple chaotic model of passive dynamic walking,” Nonlinear Dyn., vol. 93, no. 3, pp-1183-1199, 2018. https://doi.org/10.11007/s11071-018-4252-8; E. Added, H. Gritli and S. Belghith, “Further analysis of the passive dynamics of the compass biped walker and control of chaos via two trajectory tracking approaches,” Complexity, vol. 2021, art. 5533451, 2021. https://doi.org/10.1155/2021/5533451; C. Dinesh, M. Deivakani, P. Sunagar, R. Baskar, A. Kumar and G. Kalra, “Biped robot-based walking on uneven terrain: Stability and zero moment point (ZMP) analysis,” AIP Conf. Proc., vol. 2831, no. 1, art. 020013, 2023. https://doi.org/10.1063/5.0162762; A. Fawzi Abdul Kareem and A. Abdul Hussein Ali, “Experimental and theoretical optimal regulator control of balance zero moment point for bipedal robot,” J. Eng. Sustain. Dev., vol. 24, no. 6, pp. 68-82, 2020. https://doi.org/10.31272/jeasd.24.6.6; Y. D. Hong, “Capture point-based controller using real-time zero moment point manipulation for stable bipedal walking in human environment,” Sensors, vol. 19, no. 15, art. 3407, 2019. https://doi.org/10.3390/s19153407; B. Ren, J. Liu and J. Chen, “Simulating human-machine coupled model for gait trajectory optimization of the lower limb exoskeleton system based on genetic algorithm,” Int. J. of Adv. Robot. Sys., vol. 17, no. 1, 2020. https://doi.org/ 10.1177/1729881419893493; M. A. Khan, H. Arshad, R. Damasevicius A. Alqahtani, S. Alsubai, A. Binbusayyis, Y. Nam and B. Kang, “Human gait analysis: a sequential framework of lightweight deep learning and improved moth-flam optimization algorithm,” Comput. Intell. Neurosci., vol. 2022, art. 8238375, 2022. https://doi.org/10.1155/2022/8238375; J. Sun, S. Wu and P. A. Voglewede, “Dynamic simulation of human gait model with predictive capability,” ASME J. Biomech. Eng., vol. 140, no. 3, art. 031008, 2018. https://doi.org/10.1115/1.4038739; J. G. Juang, “Fuzzy neural network approaches for robotic gait synthesis,” IEEE Trans. Syst. Man. Cybern., vol. 30, no. 4, pp. 594-601. 2004. https://doi.org/10.1109/3477-.865178; M. L. Felis, K. Mombaur and A. Berthoz, “An optimal control approach to reconstruct human gait dynamics from kinematic data,” in 2015 IEEE-RAS 15th Int. Conf. Humanoid Rob., pp. 1044-1051, 2015. https://doi.org/ 10.1109/HUMANOIDS.2015.736490; T. Saidouni and G. Bessonnet, “Generating globally optimized sagittal gait cycles of a biped robot,” Robotica, vol. 41, no. 3, pp. 465-479, Jul. 2010. https://doi.org/10.1007/s00158-009-0423-z; D. A. Winter, Biomechanics and motor control of human movements, USA: John Wiley and Sons, Inc., 2009.; Y. Li, C. Xu and X. Guan, “Modeling and simulation study of electromechanically system of the human extremity exoskeleton,” J. Vibroengineering, vol. 18, no. 1, pp. 551-561, Feb. 2016. [Online]. Available: https://www.extrica.com/article/16394; M. Oluwatsin, “Modelling and control of actuated lower limb exoskeletons: a mathematical application using central patterns generators and nonlinear feedback control techniques,” Ph.D. dissertation, Univ. Paris-Est Et Mstic, 2016. Available: https://tel.archives-ouvertes.fr/tel-01531927/document; G. Bovi, M. Rabuffetti, P. Mazzoleni and M. Ferrarin, “A multiple-task gait analysis approach: kinematic, kinetic and EMG reference data for healthy young and adult subjects,” Gait Post., vol. 33, no. 1, pp. 6-13, Jan. 2011. https://10.1016/j.gaitpost.2010.08.009; https://revistas.udistrital.edu.co/index.php/reving/article/view/20333

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    Review
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    Academic Journal
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    Conference
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    Conference

    مصطلحات موضوعية: Marcha Humana

    Relation: María Carratalá Tejada. Francisco Molina Rueda. Actualización de las estrategias de evaluación e intervención de los trastornos de la marcha humana. Actas de las II Jornadas Nacionales e Internacionales de la Marcha Humana. Departamento de Fisioterapia, Terapia Ocupacional, Rehabilitación y Medicina Física. Alcorcón, Madrid, 28 de octubre de 2022; https://hdl.handle.net/10115/22108

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    Report
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    Academic Journal
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    المؤلفون: Nogueira, Nuno Baptista

    المساهمون: Coutinho, Fernanda de Madureira, Ferreira, João Paulo Morais, Repositório Comum

    وصف الملف: application/pdf

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    Dissertation/ Thesis

    Thesis Advisors: Gianikellis, Kostas, Universidad de Extremadura. Departamento de Didáctica de la Expresión Musical, Plástica y Corporal

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    Dissertation/ Thesis

    Thesis Advisors: Gianikellis, Kostas, Skiadopoulos, Andreas, Universidad de Extremadura. Departamento de Didáctica de la Expresión Musical, Plástica y Corporal

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    Academic Journal
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    Academic Journal
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    Academic Journal

    Relation: info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095145-B-I00/ES/ESTUDIO DE LA RELACION ENTRE EFICIENCIA Y NIVEL DE DETALLE EN MODELOS BIOMECANICOS DEL CUERPO HUMANO; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BES-2016–076901/ES/; https://doi.org/10.3390/s21020427; Cuadrado, J.; Michaud, F.; Lugrís, U.; Pérez Soto, M. Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis. Sensors 2021, 21, 427. https://doi.org/10.3390/s21020427; http://hdl.handle.net/2183/27353

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    Academic Journal