Статті в журналах з теми "SEMG-force model"
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Hou, Wensheng, Xiaolin Zheng, Yingtao Jiang, Jun Zheng, Chenglin Peng, and Rong Xu. "A STUDY OF MODELS FOR HANDGRIP FORCE PREDICTION FROM SURFACE ELECTROMYOGRAPHY OF EXTENSOR MUSCLE." Biomedical Engineering: Applications, Basis and Communications 21, no. 02 (April 2009): 81–88. http://dx.doi.org/10.4015/s1016237209001131.
Повний текст джерелаGAO, YONGSHENG, SHENGXIN WANG, FEIYUN XIAO, and JIE ZHAO. "AN ANGLE-EMG BIOMECHANICAL MODEL OF THE HUMAN ELBOW JOINT." Journal of Mechanics in Medicine and Biology 16, no. 06 (September 2016): 1650078. http://dx.doi.org/10.1142/s0219519416500780.
Повний текст джерелаWang, Yuan, Fan Li, Haoting Liu, Zhiqiang Zhang, Duming Wang, Shanguang Chen, Chunhui Wang, and Jinhui Lan. "Robust muscle force prediction using NMFSEMD denoising and FOS identification." PLOS ONE 17, no. 8 (August 3, 2022): e0272118. http://dx.doi.org/10.1371/journal.pone.0272118.
Повний текст джерелаKhoshdel, Vahab, and Alireza Akbarzadeh. "An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics." Industrial Robot: An International Journal 45, no. 3 (May 21, 2018): 416–23. http://dx.doi.org/10.1108/ir-10-2017-0190.
Повний текст джерелаLv, Ying, Qingli Zheng, Xiubin Chen, Yi Jia, Chunsheng Hou, and Meiwen An. "Analysis on Muscle Forces of Extrinsic Finger Flexors and Extensors in Flexor Movements with sEMG and Ultrasound." Mathematical Problems in Engineering 2022 (May 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/7894935.
Повний текст джерелаYANG, D. D., W. S. HOU, X. Y. WU, J. ZHENG, X. L. ZHENG, Y. T. JIANG, and L. MA. "IMPACT OF FINGERTIP ACTIONS ON TOTAL POWER OF SURFACE ELECTROMYOGRAPHY FROM EXTRINSIC HAND MUSCLES." Journal of Mechanics in Medicine and Biology 12, no. 03 (June 2012): 1250056. http://dx.doi.org/10.1142/s0219519411004800.
Повний текст джерелаWang, Kai, Xianmin Zhang, Jun Ota, and Yanjiang Huang. "Development of an SEMG-Handgrip Force Model Based on Cross Model Selection." IEEE Sensors Journal 19, no. 5 (March 1, 2019): 1829–38. http://dx.doi.org/10.1109/jsen.2018.2883660.
Повний текст джерелаHou, Wensheng, Xiaoying Wu, Jun Zheng, Li Ma, Xiaolin Zheng, Yingtao Jiang, Dandan Yang, Shizhi Qian, and Chenglin Peng. "CHARACTERIZATION OF FINGER ISOMETRIC FORCE PRODUCTION WITH MAXIMUM POWER OF SURFACE ELECTROMYOGRAPHY." Biomedical Engineering: Applications, Basis and Communications 21, no. 03 (June 2009): 193–99. http://dx.doi.org/10.4015/s1016237209001258.
Повний текст джерелаMarklin, Richard W., Jonathon E. Slightam, Mark L. Nagurka, Casey D. Garces, Lovely Krishen, and Eric H. Bauman. "New Pistol Grip Control for an Electric Utility Aerial Bucket Reduces Risk of Forearm Muscle Fatigue." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 888–92. http://dx.doi.org/10.1177/1541931218621204.
Повний текст джерелаWang, Jinfeng, Muye Pang, Peixuan Yu, Biwei Tang, Kui Xiang, and Zhaojie Ju. "Effect of Muscle Fatigue on Surface Electromyography-Based Hand Grasp Force Estimation." Applied Bionics and Biomechanics 2021 (February 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/8817480.
Повний текст джерелаCHEN, JIANGCHENG, XIAODONG ZHANG, LINXIA GU, and CARL NELSON. "ESTIMATING MUSCLE FORCES AND KNEE JOINT TORQUE USING SURFACE ELECTROMYOGRAPHY: A MUSCULOSKELETAL BIOMECHANICAL MODEL." Journal of Mechanics in Medicine and Biology 17, no. 04 (March 2, 2017): 1750069. http://dx.doi.org/10.1142/s0219519417500695.
Повний текст джерелаDorgham, Osama, Ibrahim Al-Mherat, Jawdat Al-Shaer, Sulieman Bani-Ahmad, and Stephen Laycock. "Smart System for Prediction of Accurate Surface Electromyography Signals Using an Artificial Neural Network." Future Internet 11, no. 1 (January 21, 2019): 25. http://dx.doi.org/10.3390/fi11010025.
Повний текст джерелаFOO, Chee-Sheng, Takahiro KIKUCHI, Yukihiro MICHIWAKI, Takuji KOIKE, and Takuya HASHIMOTO. "Muscle Force Estimation during Swallowing based on Musculoskeletal Model and sEMG Measurement." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—J03. http://dx.doi.org/10.1299/jsmermd.2017.2p2-j03.
Повний текст джерелаHasanzadeh Fereydooni, Rohollah, Hassan Siahkali, Heidar Ali Shayanfar, and Amir Houshang Mazinan. "sEMG-based variable impedance control of lower-limb rehabilitation robot using wavelet neural network and model reference adaptive control." Industrial Robot: the international journal of robotics research and application 47, no. 3 (January 16, 2020): 349–58. http://dx.doi.org/10.1108/ir-10-2019-0210.
Повний текст джерелаAli, W., and S. Kolyubin. "EMG-Based Grasping Force Estimation for Robot Skill Transfer Learning." Nelineinaya Dinamika 18, no. 5 (2022): 0. http://dx.doi.org/10.20537/nd221221.
Повний текст джерелаMadden, Kaci E., Dragan Djurdjanovic, and Ashish D. Deshpande. "Using a System-Based Monitoring Paradigm to Assess Fatigue during Submaximal Static Exercise of the Elbow Extensor Muscles." Sensors 21, no. 4 (February 3, 2021): 1024. http://dx.doi.org/10.3390/s21041024.
Повний текст джерелаCenit, Mikecon, and Vaibhav Gandhi. "Design and development of the sEMG-based exoskeleton strength enhancer for the legs." Journal of Mechatronics, Electrical Power, and Vehicular Technology 10, no. 2 (November 28, 2019): 61. http://dx.doi.org/10.14203/j.mev.2019.v10.61-71.
Повний текст джерелаCenit, Mikecon, and Vaibhav Gandhi. "Design and development of the sEMG-based exoskeleton strength enhancer for the legs." Journal of Mechatronics, Electrical Power, and Vehicular Technology 11, no. 2 (December 22, 2020): 64. http://dx.doi.org/10.14203/j.mev.2020.v11.64-74.
Повний текст джерелаKong, Dezhi, Wendong Wang, Dong Guo, and Yikai Shi. "RBF Sliding Mode Control Method for an Upper Limb Rehabilitation Exoskeleton Based on Intent Recognition." Applied Sciences 12, no. 10 (May 15, 2022): 4993. http://dx.doi.org/10.3390/app12104993.
Повний текст джерелаIto, A., Y. Tamura, and M. Saito. "Simulation of force in human elbow biceps by a motor system model using SEMG signal." Journal of Biomechanics 39 (January 2006): S494. http://dx.doi.org/10.1016/s0021-9290(06)85020-7.
Повний текст джерелаNa, Youngjin, and Jung Kim. "Dynamic Elbow Flexion Force Estimation Through a Muscle Twitch Model and sEMG in a Fatigue Condition." IEEE Transactions on Neural Systems and Rehabilitation Engineering 25, no. 9 (September 2017): 1431–39. http://dx.doi.org/10.1109/tnsre.2016.2628373.
Повний текст джерелаLu, Wei, Lifu Gao, Huibin Cao, and Zebin Li. "sEMG-Upper Limb Interaction Force Estimation Framework Based on Residual Network and Bidirectional Long Short-Term Memory Network." Applied Sciences 12, no. 17 (August 29, 2022): 8652. http://dx.doi.org/10.3390/app12178652.
Повний текст джерелаLi, Zebin, Lifu Gao, Wei Lu, Daqing Wang, Huibin Cao, and Gang Zhang. "Estimation of Knee Extension Force Using Mechanomyography Signals Based on GRA and ICS-SVR." Sensors 22, no. 12 (June 20, 2022): 4651. http://dx.doi.org/10.3390/s22124651.
Повний текст джерелаLi, Bo, Bo Yuan, Shuai Tang, Yuwen Mao, Dongmei Zhang, Changyun Huang, and Bilian Tan. "Biomechanical design analysis and experiments evaluation of a passive knee-assisting exoskeleton for weight-climbing." Industrial Robot: An International Journal 45, no. 4 (June 18, 2018): 436–45. http://dx.doi.org/10.1108/ir-11-2017-0207.
Повний текст джерелаWilcox, M., H. Brown, K. Johnson, M. Sinisi, and T. J. Quick. "An assessment of fatigability following nerve transfer to reinnervate elbow flexor muscles." Bone & Joint Journal 101-B, no. 7 (July 2019): 867–71. http://dx.doi.org/10.1302/0301-620x.101b7.bjj-2019-0005.r1.
Повний текст джерелаAdeola-Bello, Zulikha Ayomikun, and Norsinnira Zainul Azlan. "Power Assist Rehabilitation Robot and Motion Intention Estimation." International Journal of Robotics and Control Systems 2, no. 2 (May 14, 2022): 297–316. http://dx.doi.org/10.31763/ijrcs.v2i2.650.
Повний текст джерелаHe, Ruihua, Xinyu Sun, Xuedou Yu, Hongtao Xia, and Shuaijie Chen. "Static Model of Athlete’s Upper Limb Posture Rehabilitation Training Indexes." BioMed Research International 2022 (July 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/9353436.
Повний текст джерелаXu, Lingfeng, Xiang Chen, Shuai Cao, Xu Zhang, and Xun Chen. "Feasibility Study of Advanced Neural Networks Applied to sEMG-Based Force Estimation." Sensors 18, no. 10 (September 25, 2018): 3226. http://dx.doi.org/10.3390/s18103226.
Повний текст джерелаYokoyama, Masayuki, Ryohei Koyama, and Masao Yanagisawa. "An Evaluation of Hand-Force Prediction Using Artificial Neural-Network Regression Models of Surface EMG Signals for Handwear Devices." Journal of Sensors 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/3980906.
Повний текст джерелаSheahan, Peter J., Joshua G. A. Cashaback, and Steven L. Fischer. "Evaluating the Ergonomic Benefit of a Wrist Brace on Wrist Posture, Muscle Activity, Rotational Stiffness, and Peak Shovel-Ground Impact Force During a Simulated Tree-Planting Task." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 6 (May 9, 2017): 911–24. http://dx.doi.org/10.1177/0018720817708084.
Повний текст джерелаWang, Mengcheng, Chuan Zhao, Alan Barr, Suihuai Yu, Jay Kapellusch, and Carisa Harris Adamson. "Hand Posture and Force Estimation using Surface Electromyography and an Artificial Neural Network." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1247–48. http://dx.doi.org/10.1177/1071181320641296.
Повний текст джерелаLow, Kin Huat, Shuxiang Guo, Xinyan Deng, Ravi Vaidyanathan, James Tangorra, Hoon Cheol Park, and Fumiya Iida. "Special Issue on Focused Areas and Future Trends of Bio-Inspired Robots “Analysis, Control, and Design for Bio-Inspired Robotics”." Journal of Robotics and Mechatronics 24, no. 4 (August 20, 2012): 559–60. http://dx.doi.org/10.20965/jrm.2012.p0559.
Повний текст джерелаMokri, Chiako, Mahdi Bamdad, and Vahid Abolghasemi. "Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques." Medical & Biological Engineering & Computing 60, no. 3 (January 14, 2022): 683–99. http://dx.doi.org/10.1007/s11517-021-02466-z.
Повний текст джерелаPotluri, Chandrasekhar, Madhavi Anugolu, Marco P. Schoen, D. Subbaram Naidu, Alex Urfer, and Steve Chiu. "Hybrid fusion of linear, non-linear and spectral models for the dynamic modeling of sEMG and skeletal muscle force: An application to upper extremity amputation." Computers in Biology and Medicine 43, no. 11 (November 2013): 1815–26. http://dx.doi.org/10.1016/j.compbiomed.2013.08.023.
Повний текст джерелаLu, Wei, Lifu Gao, Huibin Cao, Zebin Li, and Daqing Wang. "A comparison of contributions of individual muscle and combination muscles to interaction force prediction using KPCA-DRSN model." Frontiers in Bioengineering and Biotechnology 10 (September 7, 2022). http://dx.doi.org/10.3389/fbioe.2022.970859.
Повний текст джерелаShirzadi, Mehdi, Hamid Reza Marateb, Mónica Rojas-Martínez, Marjan Mansourian, Alberto Botter, Fabio Vieira dos Anjos, Taian Martins Vieira, and Miguel Angel Mañanas. "A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs." Frontiers in Physiology 14 (February 27, 2023). http://dx.doi.org/10.3389/fphys.2023.1098225.
Повний текст джерелаZhang, Qiang, Natalie Fragnito, Jason R. Franz, and Nitin Sharma. "Fused ultrasound and electromyography-driven neuromuscular model to improve plantarflexion moment prediction across walking speeds." Journal of NeuroEngineering and Rehabilitation 19, no. 1 (August 9, 2022). http://dx.doi.org/10.1186/s12984-022-01061-z.
Повний текст джерелаHua, Shaoyang, Congqing Wang, and Xuewei Wu. "A novel sEMG-based force estimation method using deep-learning algorithm." Complex & Intelligent Systems, April 23, 2021. http://dx.doi.org/10.1007/s40747-021-00338-5.
Повний текст джерелаNarayanan, Sidharth, and Venugopal Gopinath. "Generation and analysis of synthetic surface electromyography signals under varied muscle fiber type proportions and validation using recorded signals." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, January 18, 2023, 095441192211492. http://dx.doi.org/10.1177/09544119221149234.
Повний текст джерелаChandrapal, Mervin, XiaoQi Chen, WenHui Wang, Benjamin Stanke, and Nicolas Le Pape. "Investigating improvements to neural network based EMG to joint torque estimation." Paladyn, Journal of Behavioral Robotics 2, no. 4 (January 1, 2011). http://dx.doi.org/10.2478/s13230-012-0007-2.
Повний текст джерелаWAN, LISHUANG, FAHAD ABDULLAH ALQURASHI, and WOO-JIN JUNG. "PRACTICE AND DEVELOPMENT OF SPORTS SOMATIC SCIENCE IN SOCIAL PHYSICAL EDUCATION TEACHING USING FRACTAL THEORY." Fractals 30, no. 02 (February 14, 2022). http://dx.doi.org/10.1142/s0218348x22400886.
Повний текст джерелаShi, Lei, Zhen Liua, and Chao Zhang. "A Control Framework of Lower Extremity Rehabilitation Exoskeleton based on Neuro-Muscular-Skeletal Model." Journal of Applied Information Science 3, no. 1 (2015). http://dx.doi.org/10.21863/jais/2015.3.1.002.
Повний текст джерелаMao, He, Peng Fang, Yue Zheng, Lan Tian, Xiangxin Li, Pu Wang, Liang Peng, and Guanglin Li. "Continuous grip force estimation from surface electromyography using generalized regression neural network." Technology and Health Care, September 8, 2022, 1–15. http://dx.doi.org/10.3233/thc-220283.
Повний текст джерелаWang, Mengcheng, Chuan Zhao, Alan Barr, Hao Fan, Suihuai Yu, Jay Kapellusch, and Carisa Harris Adamson. "Hand Posture and Force Estimation Using Surface Electromyography and an Artificial Neural Network." Human Factors: The Journal of the Human Factors and Ergonomics Society, May 18, 2021, 001872082110166. http://dx.doi.org/10.1177/00187208211016695.
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