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"Mun-Hee Lim"

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"Mun-Hee Lim"

Original Articles
Improved Gait Speed After Robot-Assisted Gait Training in Patients With Motor Incomplete Spinal Cord Injury: A Preliminary Study
Seungwon Hwang, Hye-Ri Kim, Zee-A Han, Bum-Suk Lee, Soojeong Kim, Hyunsoo Shin, Jae-Gun Moon, Sung-Phil Yang, Mun-Hee Lim, Duk-Youn Cho, Hayeon Kim, Hye-Jin Lee
Ann Rehabil Med 2017;41(1):34-41.   Published online February 28, 2017
DOI: https://doi.org/10.5535/arm.2017.41.1.34
Objective

To evaluate the clinical features that could serve as predictive factors for improvement in gait speed after robotic treatment.

Methods

A total of 29 patients with motor incomplete spinal cord injury received 4-week robot-assisted gait training (RAGT) on the Lokomat (Hocoma AG, Volketswil, Switzerland) for 30 minutes, once a day, 5 times a week, for a total of 20 sessions. All subjects were evaluated for general characteristics, the 10-Meter Walk Test (10MWT), the Lower Extremity Motor Score (LEMS), the Functional Ambulatory Category (FAC), the Walking Index for Spinal Cord Injury version II (WISCI-II), the Berg Balance Scale (BBS), and the Spinal Cord Independence Measure version III (SCIM-III) every 0, and 4 weeks. After all the interventions, subjects were stratified using the 10MWT score at 4 weeks into improved group and non-improved group for statistical analysis.

Results

The improved group had younger age and shorter disease duration than the non-improved group. All subjects with the American Spinal Injury Association Impairment Scale level C (AIS-C) tetraplegia belonged to the non-improved group, while most subjects with AIS-C paraplegia, AIS-D tetraplegia, and AIS-D paraplegia belonged to the improved group. The improved group showed greater baseline lower extremity strength, balance, and daily living function than the non-improved group.

Conclusion

Assessment of SCIM-III, BBS, and trunk control, in addition to LEMS, have potential for predicting the effects of robotic treatment in patients with motor incomplete spinal cord injury.

Citations

Citations to this article as recorded by  
  • The Effect of Assistive Robotic Technologies on Quality of Life and Functional Independence in Individuals with Spinal Cord Injury
    Abdurrahim Yıldız, Rüstem Mustafaoğlu, Nur Kesiktaş
    Journal of Basic and Clinical Health Sciences.2024; 8(3): 580.     CrossRef
  • Gait quality after robot therapy compared with physiotherapy in the patient with incomplete spinal cord injured: A systematic review
    Isabella Fabbri, Fabio Betti, Roberto Tedeschi
    eNeurologicalSci.2023; : 100467.     CrossRef
  • Clinical Utility of Robot-Assisted Gait Training in Patients with Spinal Cord Injury Caused by Electrical Burns: A Case Report
    Seung-Yeol Lee, Cheong-Hoon Seo, Yoon-Soo Cho, So-Young Joo
    Journal of Clinical Medicine.2023; 12(23): 7220.     CrossRef
  • Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards
    Florian van Dellen, Rob Labruyère
    Journal of NeuroEngineering and Rehabilitation.2022;[Epub]     CrossRef
  • Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury
    Juntaek Hong, Jongweon Lee, Taeyoung Choi, Wooin Choi, Taeyong Kim, Kyuwan Kwak, Seongjun Kim, Kyeongyeol Kim, Daehyun Kim
    Sensors.2022; 22(10): 3870.     CrossRef
  • A Survey on Socially Assistive Robotics: Clinicians’ and Patients’ Perception of a Social Robot within Gait Rehabilitation Therapies
    Denniss Raigoso, Nathalia Céspedes, Carlos A. Cifuentes, Antonio J. del-Ama, Marcela Múnera
    Brain Sciences.2021; 11(6): 738.     CrossRef
  • Social Human-Robot Interaction for Gait Rehabilitation
    Nathalia Cespedes, Marcela Munera, Catalina Gomez, Carlos A. Cifuentes
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2020; 28(6): 1299.     CrossRef
  • Morning Walk®-Assisted Gait Training Improves Walking Ability and Balance in Patients with Ataxia: a Randomized Controlled Trial
    Chul Jung, Dae Yul Kim, Sara Kwon, Min Ho Chun, JaYoung Kim, Sung Hyun Kim
    Brain & Neurorehabilitation.2020;[Epub]     CrossRef
  • 7,460 View
  • 241 Download
  • 11 Web of Science
  • 8 Crossref
Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients
Soo Jeong Kim, Hye Jin Lee, Seung Won Hwang, Hannah Pyo, Sung Phil Yang, Mun-Hee Lim, Gyu Lee Park, Eun Joo Kim
Ann Rehabil Med 2016;40(2):183-189.   Published online April 25, 2016
DOI: https://doi.org/10.5535/arm.2016.40.2.183
Objective

To identify the clinical characteristics of proper robot-assisted gait training group using exoskeletal locomotor devices in non-ambulatory subacute stroke patients.

Methods

A total of 38 stroke patients were enrolled in a 4-week robotic training protocol (2 sessions/day, 5 times/week). All subjects were evaluated for their general characteristics, Functional Ambulatory Classification (FAC), Fugl-Meyer Scale (FMS), Berg Balance Scale (BBS), Modified Rankin Scale (MRS), Modified Barthel Index (MBI), and Mini-Mental Status Examination (MMSE) at 0, 2, and 4 weeks. Statistical analysis were performed to determine significant clinical characteristics for improvement of gait function after robot-assisted gait training.

Results

Paired t-test showed that all functional parameters except MMSE were improved significantly (p<0.05). The duration of disease and baseline BBS score were significantly (p<0.05) correlated with FAC score in multiple regression models. Receiver operating characteristic (ROC) curve showed that a baseline BBS score of '9' was a cutoff value (AUC, 0.966; sensitivity, 91%–100%; specificity, 85%). By repeated-measures ANOVA, the differences in improved walking ability according to time were significant between group of patients who had baseline BBS score of '9' and those who did not have baseline BBS score of '9'

Conclusion

Our results showed that a baseline BBS score above '9' and a short duration of disease were highly correlated with improved walking ability after robot-assisted gait training. Therefore, baseline BBS and duration of disease should be considered clinically for gaining walking ability in robot-assisted training group.

Citations

Citations to this article as recorded by  
  • Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions
    Faisal Amin, Asim Waris, Javaid Iqbal, Syed Omer Gilani, M. Zia Ur Rehman, Shafaq Mushtaq, Niaz Bahadur Khan, M. Ijaz Khan, Mohammed Jameel, Nissren Tamam
    Results in Engineering.2024; 21: 101725.     CrossRef
  • Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training with conventional rehabilitation
    Yoshiaki Maki, Takuma Ii, Masanari Yamada, Shigeo Tanabe
    International Journal of Rehabilitation Research.2024; 47(1): 26.     CrossRef
  • Identifying the characteristics of patients with stroke who have difficulty benefiting from gait training with the hybrid assistive limb: a retrospective cohort study
    Shingo Taki, Takeshi Imura, Tsubasa Mitsutake, Yuji Iwamoto, Ryo Tanaka, Naoki Imada, Hayato Araki, Osamu Araki
    Frontiers in Neurorobotics.2024;[Epub]     CrossRef
  • Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients
    Soo Yong Lee, Yu Sik Choi, Min Hyuk Kim, Woo Nam Chang
    Technology and Health Care.2024; 32(5): 3293.     CrossRef
  • Gait Performance and Brain Activity Are Improved by Gait Automatization during Robot-Assisted Gait Training in Patients with Burns: A Prospective, Randomized, Single-Blinded Study
    Seung Yeol Lee, Jisu Seo, Cheong Hoon Seo, Yoon Soo Cho, So Young Joo
    Journal of Clinical Medicine.2024; 13(16): 4838.     CrossRef
  • Therapeutic Effect of High-Definition Transcranial Direct Current Stimulation Combined with Suspension Exercise Training on Lower Limb Motor Function of Stroke Patients
    Haiquan ZHANG, Chuan HU, Lei HUANG, Wei LU, Xin WANG
    Rehabilitation Medicine.2024; 34(2): 110.     CrossRef
  • Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness
    Jesús de Miguel-Fernández, Joan Lobo-Prat, Erik Prinsen, Josep M. Font-Llagunes, Laura Marchal-Crespo
    Journal of NeuroEngineering and Rehabilitation.2023;[Epub]     CrossRef
  • Optimal Intervention Timing for Robotic-Assisted Gait Training in Hemiplegic Stroke
    Lingchao Xie, Bu Hyun Yoon, Chanhee Park, Joshua (Sung) H. You
    Brain Sciences.2022; 12(8): 1058.     CrossRef
  • Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study
    Dong-Xia Li, Fu-Bing Zha, Jian-Jun Long, Fang Liu, Jia Cao, Yu-Long Wang
    Journal of Stroke and Cerebrovascular Diseases.2021; 30(7): 105807.     CrossRef
  • Exoskeleton for post-stroke recovery of ambulation (ExStRA): study protocol for a mixed-methods study investigating the efficacy and acceptance of an exoskeleton-based physical therapy program during stroke inpatient rehabilitation
    Dennis R. Louie, William B. Mortenson, Melanie Durocher, Robert Teasell, Jennifer Yao, Janice J. Eng
    BMC Neurology.2020;[Epub]     CrossRef
  • Effectiveness of robot-assisted gait training on patients with burns: a preliminary study
    So Young Joo, Seung Yeol Lee, Yoon Soo Cho, Kuem Ju Lee, Sang-Hyun Kim, Cheong Hoon Seo
    Computer Methods in Biomechanics and Biomedical Engineering.2020; 23(12): 888.     CrossRef
  • Assessing Stiffness, Joint Torque and ROM for Paretic and Non-Paretic Lower Limbs during the Subacute Phase of Stroke Using Lokomat Tools
    Betsy D. M. Chaparro-Rico, Daniele Cafolla, Paolo Tortola, Giuseppe Galardi
    Applied Sciences.2020; 10(18): 6168.     CrossRef
  • Robot-assisted gait training for balance and lower extremity function in patients with infratentorial stroke: a single-blinded randomized controlled trial
    Ha Yeon Kim, Joon-Ho Shin, Sung Phil Yang, Min A. Shin, Stephanie Hyeyoung Lee
    Journal of NeuroEngineering and Rehabilitation.2019;[Epub]     CrossRef
  • Effect of ankle-foot orthosis on functional mobility and dynamic balance of patients after stroke
    Gabriela Vieira de Paula, Taís Regina da Silva, Juli Thomaz de Souza, Gustavo José Luvizutto, Silméia Garcia Zanati Bazan, Gabriel Pinheiro Modolo, Fernanda Cristina Winckler, Letícia Cláudia de Oliveira Antunes, Luís Cuadrado Martin, Rafael Dalle Molle d
    Medicine.2019; 98(39): e17317.     CrossRef
  • Effects of Whole-Body Vibration on the Improvement of Balance, Gait and Activities of Daily Living in Patients with Subacute Stroke
    Sung Il Hwang
    Soonchunhyang Medical Science.2018; 24(2): 131.     CrossRef
  • Computational gait analysis using fuzzy logic for everyday clinical purposes – preliminary findings
    Emilia Mikołajewska, Piotr Prokopowicz, Dariusz Mikolajewski
    Bio-Algorithms and Med-Systems.2017; 13(1): 37.     CrossRef
  • 7,129 View
  • 62 Download
  • 16 Web of Science
  • 16 Crossref
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