Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled Trial

被引:74
|
作者
Lee, Hwang-Jae [1 ,4 ]
Lee, Su-Hyun [1 ]
Seo, Keehong [6 ]
Lee, Minhyung [6 ]
Chang, Won Hyuk [1 ]
Choi, Byung-Ok [2 ]
Ryu, Gyu-Ha [3 ]
Kim, Yun-Hee [1 ,5 ]
机构
[1] Sungkyunkwan Univ, Ctr Prevent & Rehabil, Dept Phys & Rehabil Med, Heart Vasc Stroke Inst,Samsung Med Ctr,Sch Med, Seoul, South Korea
[2] Sungkyunkwan Univ, Ctr Prevent & Rehabil, Heart Vasc Stroke Inst, Dept Neurol,Samsung Med Ctr,Sch Med,Neurosci Ctr, Seoul, South Korea
[3] Sungkyunkwan Univ, Ctr Prevent & Rehabil, Heart Vasc Stroke Inst,Sch Med,SAIHST, Dept Med Device Management & Res,Samsung Med Ctr, Seoul, South Korea
[4] Sungkyunkwan Univ, SAIHST, Dept Hlth Sci & Technol, Seoul, South Korea
[5] Sungkyunkwan Univ, Dept Digital Hlth, Dept Hlth Sci & Technol, Dept Med Device Management & Res,SAIHST, Seoul, South Korea
[6] Samsung Elect, Samsung Adv Inst Technol, Gyeonggi Do, South Korea
基金
新加坡国家研究基金会;
关键词
gait; locomotion; robotics; stroke rehabilitation; walking; STEP LENGTH ASYMMETRY; GAIT ASYMMETRY; REHABILITATION; THERAPY;
D O I
10.1161/STROKEAHA.119.025950
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose-The purpose of this study was to investigate the effects of gait training with a newly developed wearable hip-assist robot on locomotor function and efficiency in patients with chronic stroke. Methods-Twenty-eight patients with stroke with hemiparesis were initially enrolled, and 26 patients completed the randomized controlled trial (14 in the experimental and 12 in the control groups). The experimental group participated in a gait training program over a total of 10 sessions, including 5 treadmill sessions and 5 over-ground gait training sessions while wearing a hip-assist robot, the Gait Enhancing and Motivating System (GEMS, Samsung Advanced Institute of Technology, Suwon, Republic of Korea). The control group received gait training without Gait Enhancing and Motivating System. Primary outcome measured locomotor function and cardiopulmonary metabolic energy efficiency. Also, secondary outcome measured motor function and balance parameter. Results-Compared with the control group, the experimental group had significantly greater improvement in spatiotemporal gait parameters and muscle efforts after the training intervention (P<0.05). The net cardiopulmonary metabolic energy cost (mL.kg(-1).min(-1)) was also reduced by 14.71% in the experimental group after the intervention (P<0.01). Significant groupxtime interactions were observed for all parameters (P<0.05). Cardiopulmonary metabolic efficiency was strongly correlated with gait symmetry ratio in the experimental group (P<0.01). Conclusions-Gait training with Gait Enhancing and Motivating System was effective for improving locomotor function and cardiopulmonary metabolic energy efficiency during walking in patients with stroke. These findings suggest that robotic locomotor training can be adopted for rehabilitation of patients with stroke with gait disorders.
引用
收藏
页码:3545 / 3552
页数:8
相关论文
共 50 条
  • [1] Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults
    Lee, Su-Hyun
    Kim, Jihye
    Lim, Bokman
    Lee, Hwang-Jae
    Kim, Yun-Hee
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [2] Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial
    Inoue, Seigo
    Otaka, Yohei
    Kumagai, Masashi
    Sugasawa, Masafumi
    Mori, Naoki
    Kondo, Kunitsugu
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2022, 19 (01)
  • [3] Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial
    Seigo Inoue
    Yohei Otaka
    Masashi Kumagai
    Masafumi Sugasawa
    Naoki Mori
    Kunitsugu Kondo
    Journal of NeuroEngineering and Rehabilitation, 19
  • [4] A Backward Walking Training Program to Improve Balance and Mobility in Acute Stroke: A Pilot Randomized Controlled Trial
    Rose, Dorian K.
    DeMark, Lou
    Fox, Emily J.
    Clark, David J.
    Wludyka, Peter
    JOURNAL OF NEUROLOGIC PHYSICAL THERAPY, 2018, 42 (01): : 12 - 21
  • [5] 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
    MEDICINE, 2023, 102 (42) : E35568
  • [6] Effects of inclined treadmill training on inadequate ankle control during walking in individuals after stroke: A pilot randomized controlled trial
    Cheng, Ju-Yu
    Yang, Yea-Ru
    Yeh, Nai-Chen
    Cho, Hsin
    Wang, Vinchi
    Li, Jui-Chang
    Wang, Ray-Yau
    NEUROREHABILITATION, 2022, 51 (01) : 171 - 180
  • [7] Clinical Study of a Wearable Remote Rehabilitation Training System for Patients With Stroke: Randomized Controlled Pilot Trial
    Guo, Liquan
    Wang, Jiping
    Wu, Qunqiang
    Li, Xinming
    Zhang, Bochao
    Zhou, Linfu
    Xiong, Daxi
    JMIR MHEALTH AND UHEALTH, 2023, 11 (01):
  • [8] Comparison of underwater gait training and overground gait training for improving the walking and balancing ability of patients with severe hemiplegic stroke: A randomized controlled pilot trial
    Kim, Nan-Hyang
    Park, Hoon-Young
    Son, Jin-Kyu
    Moon, Young
    Lee, Jun-Ho
    Cha, Yong-Jun
    GAIT & POSTURE, 2020, 80 : 124 - 129
  • [9] Wearable hip-assist robot modulates cortical activation during gait in stroke patients: a functional near-infrared spectroscopy study
    Lee, Su-Hyun
    Lee, Hwang-Jae
    Shim, Youngbo
    Chang, Won Hyuk
    Choi, Byung-Ok
    Ryu, Gyu-Ha
    Kim, Yun-Hee
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2020, 17 (01)
  • [10] Robot-assisted walking training for individuals with Parkinson's disease: a pilot randomized controlled trial
    Sale, Patrizio
    De Pandis, Maria Francesca
    Domenica, Le Pera
    Sova, Ivan
    Cimolin, Veronica
    Ancillao, Andrea
    Albertini, Giorgio
    Galli, Manuela
    Stocchi, Fabrizio
    Franceschini, Marco
    BMC NEUROLOGY, 2013, 13