Prediction of gait velocity in ambulatory stroke patients during rehabilitation

被引:30
|
作者
Goldie, PA [1 ]
Matyas, TA
Kinsella, GJ
Galea, MP
Evans, OM
Bach, TM
机构
[1] La Trobe Univ, Sch Physiotherapy, Bundoora, Vic 3083, Australia
[2] La Trobe Univ, Sch Psychol Sci, Bundoora, Vic 3083, Australia
[3] La Trobe Univ, Sch Human Biosci, Bundoora, Vic 3083, Australia
[4] Univ Melbourne, Sch Physiotherapy, Melbourne, Vic, Australia
来源
关键词
D O I
10.1016/S0003-9993(99)90278-2
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objective: To quantify prediction of gait velocity in ambulatory stroke patients during rehabilitation. Design: Single group (n = 42) at the beginning of rehabilitation (Test 1) and 8 weeks later (Test 2). Setting: Inpatient rehabilitation. Patients: Unilateral first stroke; informed consent; able to walk 10 meters. Measures: Independent variables: Gait velocity at Test 1, age, time from stroke to Test I, side of lesion, neglect. Dependent variables: Gait velocity at Test 2, gait velocity change. Results: The correlation between initial gait velocity and gait velocity outcome at Test 2 was of moderate strength (r(2) =.62, p<.05). However, even at its lowest, the standard error of prediction for an individual patient was 9.4m/min, with 95% confidence intervals extending over a range of 36.8m/min. Age was a weak predictor of gait velocity at Test 2 (r(2) = -.10, p <.05). Gait velocity change was poorly predicted. The only significant correlations were initial gait velocity (r(2) =.10, p <.05) and age (r(2) =.10,p <.05). Conclusion: While the prediction of gait velocity at Test 2 was of moderate strength on a group basis, the error surrounding predicted values of gait velocity for a single patient was relatively high, indicating that this simple approach was imprecise on an individual basis. The prediction of gait velocity change was poor. A wide range of change scores was possible for patients, irrespective of their gait velocity score on admission to rehabilitation. (C) 1999 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation.
引用
收藏
页码:415 / 420
页数:6
相关论文
共 50 条
  • [41] Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients
    Wei, Ta-Sen
    Liu, Peng-Ta
    Chang, Liang-Wey
    Liu, Sen-Yung
    PLOS ONE, 2017, 12 (05):
  • [42] A Supine Gait Training Device for Stroke Rehabilitation
    Lim, Fang Ming
    Foong, Ruyi
    Yu, Haoyong
    JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME, 2014, 8 (02):
  • [43] Motor imagery for gait rehabilitation after stroke
    Silva, Stephano
    Borges, Lorenna R. D. M.
    Santiago, Lorenna
    Lucena, Larissa
    Lindquist, Ana R.
    Ribeiro, Tatiana
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2020, (09):
  • [44] Motor Imagery for Gait Rehabilitation After Stroke
    Silva, Stephano Tomaz da
    Borges, Lorenna Raquel Dantas de Macedo
    Santiago, Lorenna Marques de Melo
    Lucena, Larissa Coutinho de
    Raquel Rodrigues Lindquist, Ana
    Ribeiro, Tatiana Souza
    STROKE, 2021, 52 (06) : e272 - e273
  • [45] Kinematics of a robotic gait trainer for stroke rehabilitation
    Bharadwaj, Kartik
    Sugar, Thomas G.
    2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 3492 - +
  • [46] A Comprehensive Review: Robot-Assisted Treatments for Gait Rehabilitation in Stroke Patients
    Park, Yong-Hwa
    Lee, Dae-Hwan
    Lee, Jung-Ho
    MEDICINA-LITHUANIA, 2024, 60 (04):
  • [47] Evaluation of balance and orthotic gait training techniques for rehabilitation in hemiplegic stroke patients
    Sidra Tariq
    Asim Waris
    Javaid Iqbal
    Niaz Bahadur Khan
    Syed Omer Gilani
    Shafaq Mushtaq
    Qasim Awais
    Khurram Mushtaq
    Scientific Reports, 15 (1)
  • [48] Application of Robot Suit HAL to Gait Rehabilitation of Stroke Patients: A Case Study
    Yamawaki, Kanako
    Ariyasu, Ryohei
    Kubota, Shigeki
    Kawamoto, Hiroaki
    Nakata, Yoshio
    Kamibayashi, Kiyotaka
    Sankai, Yoshiyuki
    Eguchi, Kiyoshi
    Ochiai, Naoyuki
    COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, PT II, 2012, 7383 : 184 - 187
  • [49] Adverse relationships of adiposity and gait parameters: A survey of stroke patients undergoing rehabilitation
    Adeniyi, Ade Fatai
    Mohammed, Abubakar Sadik
    Ayanniyi, Olusola
    HONG KONG PHYSIOTHERAPY JOURNAL, 2011, 29 (01) : 34 - 39
  • [50] An Adaptive Shared Control of a Novel Robotic Walker for Gait Rehabilitation of Stroke Patients
    Ye, Jing
    Chen, Gong
    Liu, Quanquan
    Duan, Lihong
    Shang, Wanfeng
    Yao, Xifan
    Long, Jianjun
    Wang, Yulong
    Wu, Zhengzhi
    Wang, Chunbao
    2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2018, : 373 - 378