Citations (72)
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Andrieli Barbieri Garlet, Natiele Camponogara Righi, Jociane Schardong & Rodrigo Della Méa Plentz. (2022) Effects of robotic rehabilitation using the Erigo® device on patients with neurological injury: a systematic review and meta-analysis of randomized clinical trials. Disability and Rehabilitation: Assistive Technology 0:0, pages 1-10.
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Yu Chen, Yunan Chen, Kai Zheng, Lucy Dodakian, Jill See, Robert Zhou, Nina Chiu, Renee Augsburger, Alison McKenzie & Steven C. Cramer. (2020) A qualitative study on user acceptance of a home-based stroke telerehabilitation system. Topics in Stroke Rehabilitation 27:2, pages 81-92.
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Nicola Postol, Jodie Marquez, Stephanie Spartalis, Andrew Bivard & Neil James Spratt. (2019) Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?. Disability and Rehabilitation: Assistive Technology 14:8, pages 764-775.
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Veronica Biassoni, Maura Massimino, Maria Chiara Oprandi, Carlo Alfredo Clerici, Laura Veneroni, Claudia Corti, Elisabetta Schiavello, Filippo Spreafico & Geraldina Poggi. (2017) Rehabilitation for children and young people surviving a brain tumor, and their transition to adult services: the main challenges. Expert Review of Quality of Life in Cancer Care 2:3, pages 137-152.
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U. Dundar, H. Toktas, O. Solak, A. M. Ulasli & S. Eroglu. (2014) A Comparative Study of Conventional Physiotherapy Versus Robotic Training Combined with Physiotherapy in Patients with Stroke. Topics in Stroke Rehabilitation 21:6, pages 453-461.
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Articles from other publishers (67)
Ya-Chi Chuang, Yu-Lin Tsai, Tony Tung-Liang Lin, Liang-Jun Ou-Yang, Yu-Chun Lee, Yuan-Yang Cheng, Chuan-Ching Liu & Chun-Sheng Hsu. (2023) Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review. BioMedical Engineering OnLine 22:1.
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Murat Akıncı, Mustafa Burak, Evren Yaşar & Rabia Tuğba Kılıç. (2023) The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial. Gait & Posture 103, pages 215-222.
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Joshua B. Russell, Connor M. Phillips, Matthew R. Auer, Vu Phan, Kwanghee Jo, Omik Save, Varun Nalam & Hyunglae Lee. (2023) Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics. IEEE Journal of Translational Engineering in Health and Medicine 11, pages 282-290.
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Diana Uivarosan, Simona Gabriela Bungau, Carmen Delia Nistor-Cseppento, Paul Andrei Negru, Alexa Florina Bungau, Anca Maria Sabau, Delia Mirela Tit, Bogdan Uivaraseanu & Andrei-Flavius Radu. (2022) Application of Robotic Recovery Techniques to Stroke Survivors—Bibliometric Analysis. Journal of Personalized Medicine 12:12, pages 2066.
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Chang Seon Yu, Yeon-Gyo Nam & Bum Sun Kwon. (2022) Comparison of high-intensive and low-intensive electromechanical-assisted gait training by Exowalk® in patients over 3-month post-stroke. BMC Sports Science, Medicine and Rehabilitation 14:1.
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Irene Aprile, Carmela Conte, Arianna Cruciani, Cristiano Pecchioli, Letizia Castelli, Sabina Insalaco, Marco Germanotta & Chiara Iacovelli. (2022) Efficacy of Robot-Assisted Gait Training Combined with Robotic Balance Training in Subacute Stroke Patients: A Randomized Clinical Trial. Journal of Clinical Medicine 11:17, pages 5162.
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Shih-Ching Chen, Jiunn-Horng Kang, Chih-Wei Peng, Chih-Chao Hsu, Yen-Nung Lin & Chien-Hung Lai. (2022) Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke. International Journal of Environmental Research and Public Health 19:13, pages 8186.
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Gianfranco Lamberti, Gianluca Sesenna, Martina Marina, Emanuela Ricci & Gianluca Ciardi. (2022) Robot Assisted Gait Training in a Patient with Ataxia. Neurology International 14:3, pages 561-573.
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Di Shi, Liduan Wang, Yanqiu Zhang, Wuxiang Zhang, Hang Xiao & Xilun Ding. (2022) Review of human—robot coordination control for rehabilitation based on motor function evaluation. Frontiers of Mechanical Engineering 17:2.
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Yosra Cherni & Clara Ziane. (2022) A Narrative Review on Robotic-Assisted Gait Training in Children and Adolescents with Cerebral Palsy: Training Parameters, Choice of Settings, and Perspectives. Disabilities 2:2, pages 293-303.
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Hosu Lee, Amre Eizad, Jiho Park, Yeongmi Kim, Sunwoo Hwang, Min-Kyun Oh & Jungwon Yoon. (2022) Development of a Novel 2-Dimensional Neck Haptic Device for Gait Balance Training. IEEE Robotics and Automation Letters 7:2, pages 2511-2518.
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Xiao LU, Hanbo CHEN, Lijuan DING, Xing CHEN, Wenhua ZHENG, Ni WEI, Linghui HE, Mengyun LI, Chen LIU & Tiebin YAN. (2022) Effect of tDCS Synchronized FES on Lower Limb Motor and Balance Function of Traumatic Brain Injury Patients with Hemiplegia. Rehabilitation Medicine 32:1, pages 10-17.
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Young-Hyeon Bae, Won Hyuk Chang & Shirley S. M. Fong. (2021) Different Effects of Robot-Assisted Gait and Independent Over-Ground Gait on Foot Plantar Pressure in Incomplete Spinal Cord Injury: A Preliminary Study. International Journal of Environmental Research and Public Health 18:22, pages 12072.
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Carlos Cumplido, Elena Delgado, Jaime Ramos, Gonzalo Puyuelo, Elena Garcés, Marie André Destarac, Alberto Plaza, Mar Hernández, Alba Gutiérrez & Elena García. (2021) Gait-assisted exoskeletons for children with cerebral palsy or spinal muscular atrophy: A systematic review. NeuroRehabilitation 49:3, pages 333-348.
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Yosra Cherni, Maryam Hajizadeh, Fabien Dal Maso & Nicolas A. Turpin. (2021) Effects of body weight support and guidance force settings on muscle synergy during Lokomat walking. European Journal of Applied Physiology 121:11, pages 2967-2980.
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Federica Baronchelli, Chiara Zucchella, Mariano Serrao, Domenico Intiso & Michelangelo Bartolo. (2021) The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis. Frontiers in Neurology 12.
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Zhirui Zhao, Lina Hao, Mingfang Liu, Haoze Gao & Xing Li. (2021) Prescribed performance model-free adaptive terminal sliding mode control for the pneumatic artificial muscles elbow exoskeleton. Journal of Mechanical Science and Technology 35:7, pages 3183-3197.
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Mustafa AL HADDAD, Sema ÖZANDAÇ POLAT & Emir İbrahim IŞIK. (2021) Comparison of the efficiency of exercise, electrical muscle stimulation, electromyographic biofeedback and robotic rehabilitation in tibialis anterior muscle activation of hemiplegic patientsEgzersiz, elektriksel kas stimülasyonu, elektromyografik biofeedback ve robotik rehabilitasyonun hemiplejik hastaların tibialis anterior kas aktivasyonu üzerine etkileri. Adıyaman Üniversitesi Sağlık Bilimleri Dergisi 7:1, pages 1-13.
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Andy Chien, Fei-Chun Chang, Nai-Hsin Meng, Pei-Yu Yang, Ching Huang & Li-Wei Chou. (2021) Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients. Journal of Medical and Biological Engineering 41:1, pages 99-107.
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Hoo Young Lee, Jung Hyun Park & Tae-Woo Kim. (2021) Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors. Medicine 100:18, pages e25125.
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Jia Shi, Linsen Xu, Gaoxin Cheng, Jiajun Xu, Shouqi Chen & Xingcan Liang. (2020) Trajectory Tracking Control Based on RBF Neural Network of The Lower Limb Rehabilitation Robot. Trajectory Tracking Control Based on RBF Neural Network of The Lower Limb Rehabilitation Robot.
Muhammad Ahmed Khan, Rig Das, Helle K. Iversen & Sadasivan Puthusserypady. (2020) Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. Computers in Biology and Medicine 123, pages 103843.
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Bradley Hobbs & Panagiotis Artemiadis. (2020) A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation. Frontiers in Neurorobotics 14.
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Chul Jung, Dae Yul KimSara Kwon, Min Ho Chun, JaYoung Kim & Sung Hyun Kim. (2020)
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Muddasar Naeem, Syed Tahir Hussain Rizvi & Antonio Coronato. (2020) A Gentle Introduction to Reinforcement Learning and its Application in Different Fields. IEEE Access 8, pages 209320-209344.
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Ha Yeon Kim, Joon-Ho Shin, Sung Phil Yang, Min A. Shin & Stephanie Hyeyoung Lee. (2019) Robot-assisted gait training for balance and lower extremity function in patients with infratentorial stroke: a single-blinded randomized controlled trial. Journal of NeuroEngineering and Rehabilitation 16:1.
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Irene Aprile, Chiara Iacovelli, Michela Goffredo, Arianna Cruciani, Manuela Galli, Chiara Simbolotti, Cristiano Pecchioli, Luca Padua, Daniele Galafate, Sanaz Pournajaf & Marco Franceschini. (2019) Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study. NeuroRehabilitation 45:2, pages 201-212.
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Marialuisa Gandolfi, Nicola Valè, Eleonora Dimitrova, Maria Elisabetta Zanolin, Nicola Mattiuz, Elisa Battistuzzi, Marcello Beccari, Christian Geroin, Alessandro Picelli, Andreas Waldner & Nicola Smania. (2019) Robot-Assisted Stair Climbing Training on Postural Control and Sensory Integration Processes in Chronic Post-stroke Patients: A Randomized Controlled Clinical Trial. Frontiers in Neuroscience 13.
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Shixin Ren, Weiqun Wang, Zeng-Guang Hou, Badong Chen, Xu Liang, Jiaxing Wang & Liang Peng. (2019) Personalized gait trajectory generation based on anthropometric features using Random Forest. Journal of Ambient Intelligence and Humanized Computing.
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Chiara Arienti, Stefano G. Lazzarini, Alex Pollock & Stefano Negrini. (2019) Rehabilitation interventions for improving balance following stroke: An overview of systematic reviews. PLOS ONE 14:7, pages e0219781.
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Lin Wu, Shengquan Xie, Zhiqiang Zhang & Wei Meng. (2019) Energy Efficiency of Gait Rehabilitation Robot: A Review. Energy Efficiency of Gait Rehabilitation Robot: A Review.
Qing-Xiang Zheng, Li Ge, Carol Chunfeng Wang, Qi-Shou Ma, Yan-Tan Liao, Ping-Ping Huang, Guan-Dong Wang, Qiu-Lin Xie & Mikael Rask. (2019) Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis. International Journal of Nursing Studies 95, pages 7-18.
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Lorenzo Carnevale, Rocco Salvatore Calabro, Antonio Celesti, Antonino Leo, Maria Fazio, Placido Bramanti & Massimo Villari. (2019) Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us?. IEEE Internet of Things Journal 6:2, pages 1419-1426.
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Matthias Sczesny-Kaiser, Rebecca Trost, Mirko Aach, Thomas A. Schildhauer, Peter Schwenkreis & Martin Tegenthoff. (2019) A Randomized and Controlled Crossover Study Investigating the Improvement of Walking and Posture Functions in Chronic Stroke Patients Using HAL Exoskeleton – The HALESTRO Study (HAL-Exoskeleton STROke Study). Frontiers in Neuroscience 13.
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