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"Seung Won Hwang"

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"Seung Won Hwang"

Original Article
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  
  • Patient-Centered Selection Criteria for Robot-Assisted Gait Training in Subacute Stroke: A Focus of User Satisfaction
    Jong Weon Lee, Won Hyuk Chang, Tae-Woo Kim, Hyoung Seop Kim, Fazah Akhtar Hanapiah, Seung-Hyeon Han, Chai Wen Jia, Dae Hyun Kim, Deog Young Kim
    NeuroRehabilitation.2026;[Epub]     CrossRef
  • A Pilot Study on the Short‐Term Effects of an Electric Knee–Ankle–Foot Orthosis on Gait Performance and Physiological Cost Index in Patients With Hemiplegia: Influence of Initial Balance Ability Assessed by the Berg Balance Scale
    Hyuk-Jae Choi, Yoon Heo, Jong-Won Lee, Hyeonseok Cho, Ju-Hwan Bae, In Ho Hwang, Mi Jung Kim, Chang-Yong Ko, Emilia Biffi
    BioMed Research International.2026;[Epub]     CrossRef
  • Effects of using lower limb exoskeleton on function and psychosocial well-being of stroke survivors: A review
    Deepashini Harithasan, Aiman Mat Najib
    Polish Annals of Medicine.2026; 33: 103.     CrossRef
  • Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions
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    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
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