Influence of Robot-Assisted Gait Training on Lower-Limb Muscle Activity in Patients With Stroke: Comparison With Conventional Gait Training

被引:3
|
作者
Tanaka, Naoki [1 ,4 ]
Yano, Hiroaki [2 ]
Ebata, Yasuhiko [3 ]
Ebihara, Kazuaki [3 ]
机构
[1] Tokyo Profess Univ Hlth Sci, Sch Rehabil, Dept Phys Therapy, Tokyo, Japan
[2] Univ Tsukuba, Fac Engn Informat & Syst, Div Intelligent Interact Technol, Tsukuba, Japan
[3] Hitachinaka Gen Hosp, Dept Rehabil Med, Hitachi Ltd, Hitachinaka, Japan
[4] Tokyo Profess Univ Hlth Sci, Sch Rehabil, Dept Phys Therapy, 2-22-10 Shiohama,Koto Ku, Tokyo 1350043, Japan
来源
ANNALS OF REHABILITATION MEDICINE-ARM | 2023年 / 47卷 / 03期
关键词
Robotics; Gait; Stroke; Neurologic gait disorders; LOCOMOTION INTERFACE; REHABILITATION SYSTEM; WALKING; ORTHOSIS; LOKOMAT;
D O I
10.5535/arm.22147
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: To measure muscle activity before and after robot-assisted gait training (RAGT) in patients with stroke and examine the differences in muscle activity changes compared with conventional gait training (CGT).Methods: Thirty patients with stroke (RAGT group, n=17; CGT group, n=13) participated in the study. All patients underwent RAGT using a footpad locomotion interface or CGT for 20 minutes for a total of 20 sessions. Outcome measures were lower-limb muscle activity and gait speed. Measurements were performed before the start of the intervention and after the end of the 4-week intervention.Results: The RAGT group showed increased muscle activity in the gastrocnemius, whereas the CGT group showed high muscle activity in the rectus femoris. In the terminal stance of the gait cycle, the gastrocnemius, the increase in muscle activity was significantly higher in the RAGT group than in the CGT group.Conclusion: The results suggest that RAGT with end-effector type is more effective than CGT to increase the gastrocnemius muscle activity.
引用
收藏
页码:205 / 213
页数:9
相关论文
共 50 条
  • [11] A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation
    Hobbs, Bradley
    Artemiadis, Panagiotis
    [J]. FRONTIERS IN NEUROROBOTICS, 2020, 14
  • [12] Robot-Assisted Balance Training for Gait Modification
    Kim, Seok Hun
    Reed, Kyle B.
    [J]. 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2013,
  • [13] End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial
    Lee, Junekyung
    Kim, Dae Yul
    Lee, Seung Hak
    Kim, Ji Hye
    Kim, Deog Young
    Lim, Kil-Byung
    Yoo, Jeehyun
    [J]. MEDICINE, 2023, 102 (42) : E35568
  • [14] Robot-Assisted Gait Training for Patients with Spinal Cord Injury
    Ozbudak Demir, Sibel
    [J]. TURKIYE FIZIKSEL TIP VE REHABILITASYON DERGISI-TURKISH JOURNAL OF PHYSICAL MEDICINE AND REHABILITATION, 2015, 61 : S37 - S44
  • [15] Robot-assisted gait training in patients with Parkinson's disease
    Smania, Nicola
    Picelli, Alessandro
    Geroin, Christian
    Munari, Daniele
    Waldner, Andreas
    Gandolfi, Marialuisa
    [J]. NEURODEGENERATIVE DISEASE MANAGEMENT, 2013, 3 (04) : 321 - 330
  • [16] Robot-assisted gait training shows promise in patients with MS
    [J]. Nature Clinical Practice Neurology, 2008, 4 (1): : 10 - 11
  • [17] Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics
    Morone, Giovanni
    Paolucci, Stefano
    Cherubini, Andrea
    De Angelis, Domenico
    Venturiero, Vincenzo
    Coiro, Paola
    Iosa, Marco
    [J]. NEUROPSYCHIATRIC DISEASE AND TREATMENT, 2017, 13 : 1303 - 1311
  • [18] tDCS does not enhance the effects of robot-assisted gait training in patients with subacute stroke
    Leon, Daniel
    Cortes, Mar
    Elder, Jessica
    Kumru, Hatice
    Laxe, Sara
    Edwards, Dylan James
    Tormos, Josep Maria
    Bernabeu, Montserrat
    Pascual-Leone, Alvaro
    [J]. RESTORATIVE NEUROLOGY AND NEUROSCIENCE, 2017, 35 (04) : 377 - 384
  • [19] Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients
    Andy Chien
    Fei-Chun Chang
    Nai-Hsin Meng
    Pei-Yu Yang
    Ching Huang
    Li-Wei Chou
    [J]. Journal of Medical and Biological Engineering, 2021, 41 : 99 - 107
  • [20] Clinical Efficacy of a New Robot-assisted Gait Training System for Acute Stroke Patients
    Chien, Andy
    Chang, Fei-Chun
    Meng, Nai-Hsin
    Yang, Pei-Yu
    Huang, Ching
    Chou, Li-Wei
    [J]. JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2021, 41 (01) : 99 - 107