背景:随着中风和脊髓损伤等与年龄相关的神经系统疾病的增加,老龄化社会对步态康复的需求更高。由于常规的步态康复方法在物理和经济上都很繁重,机器人步态训练系统已经被研究和商业化,其中许多提供了限制在矢状面的运动。为了获得更好的步态康复效果,具有更自然的步态模式,然而,希望提供在横向平面中的骨盆运动。在这项研究中,使用能够在横向平面上进行骨盆运动的机器人步态训练系统来评估骨盆运动对中风患者的影响。
方法:HealbotT,这是一个机器人步态训练系统,能够在横向平面上提供骨盆运动以及髋关节和膝关节的屈曲/伸展和髋关节的内收/外展,并用于评价骨盆运动对脑卒中患者步态训练的影响。对患有偏瘫的中风患者进行有和没有骨盆运动的HealbotT中的步态训练。
方法:将24例脑卒中偏瘫患者随机分为两组,除1例因个人原因退出实验外,23例成功完成实验。在HealbotT的10次步态训练中,骨盆上组提供了骨盆运动,而骨盆下组不允许骨盆运动。测量了肌电图(EMG)信号和相互作用力以及机器人的关节角度。步态参数,如步幅长度,节奏,在1日步态训练后,在没有HealbotT帮助的情况下在地面上行走时测量行走速度,5th,和第十天。
结果:两组步幅均显著增加。此外,骨盆组的步调和步行速度分别提高了10.6%和11.8%。尽管除大腿外,两组的相互作用力没有差异,在站立阶段,骨盆组臀中肌的EMG信号增加了88.6%。此外,股二头肌肌电图信号,腓肠肌内侧,步态训练后,骨盆上组的腓肠肌外侧增加,而骨盆下组的肌电图信号除腓肠肌外侧外,无差异。
结论:使用带有骨盆运动的机器人步态训练系统进行步态训练,以研究横向和旋转骨盆运动对中风患者步态训练的影响。在站立阶段,骨盆运动会增加自愿性肌肉的激活以及步调和步行速度。
背景:KCT0003762,2018-1254,2018年10月28日注册,https://cris。nih.走吧。kr/cris/search/search_result_st01_kren。jsp?seq=14310<ype=&rtype=。
BACKGROUND: Aging societies lead to higher demand for gait rehabilitation as age-related neurological disorders such as stroke and spinal cord injury increase. Since conventional methods for gait rehabilitation are physically and economically burdensome, robotic gait training systems have been studied and commercialized, many of which provided movements confined in the sagittal plane. For better outcomes of gait rehabilitation with more natural gait patterns, however, it is desirable to provide pelvic movements in the transverse plane. In this study, a robotic gait training system capable of pelvic motions in the transverse plane was used to evaluate the effect of the pelvic motions on stroke patients.
METHODS: Healbot T, which is a robotic gait training system and capable of providing pelvic movements in the transverse plane as well as flexion/extension of the hip and knee joints and adduction/abduction of the hip joints, is introduced and used to evaluate the effect of the pelvic movement on gait training of stroke patients. Gait trainings in Healbot T with and without pelvic movements are carried out with stroke patients having hemiparesis.
METHODS: Twenty-four stroke patients with hemiparesis were randomly assigned into two groups and 23 of them successfully completed the experiment except one subject who had dropped out due to personal reasons. Pelvis-on group was provided with pelvic motions whereas no pelvic movement was allowed for pelvis-off group during 10 sessions of gait trainings in Healbot T. Electromyography (EMG) signals and interaction forces as well as the joint angles of the robot were measured. Gait parameters such as stride length, cadence, and walking speed were measured while walking on the ground without assistance of Healbot T after gait training on 1st, 5th, and 10th day.
RESULTS: Stride length significantly increased in both groups. Furthermore, cadence and walking speed of the pelvis-on group were increased by 10.6% and 11.8%. Although interaction forces of both groups except the thighs showed no differences, EMG signals from gluteus medius of the pelvis-on group increased by 88.6% during stance phase. In addition, EMG signals of biceps femoris, gastrocnemius medial, and gastrocnemius lateral of the pelvis-on group increased whereas EMG signals of the pelvis-off group except gastrocnemius lateral showed no difference after gait trainings.
CONCLUSIONS: Gait training using a robotic gait training system with pelvic movements was conducted to investigate the effects of lateral and rotational pelvic movements in gait training of stroke patients. The pelvic movements affected to increase voluntary muscle activation during the stance phase as well as cadence and walking speed.
BACKGROUND: KCT0003762, 2018-1254, Registered 28 October 2018, https://cris.nih.go.kr/cris/search/search_result_st01_kren.jsp?seq=14310<ype=&rtype=.