PDF(Pubmed)
Abstract：
UNASSIGNED: This study aimed to identify and quantify the kinematic and kinetic gait deviations in post-stroke hemiplegic patients with matched healthy controls using Statistical Parametric Mapping (SPM).
UNASSIGNED: Fifteen chronic stroke patients [4 females, 11 males; age 53.7 (standard deviation 12.2) years; body mass 65.4 (10.4) kg; standing height 168.5 (9.6) cm] and 15 matched healthy controls [4 females, 11 males; age 52.9 (11.7) years; body weight 66.5 (10.7) years; standing height 168.3 (8.8) cm] were recruited. In a 10-m walking task, joint angles, ground reaction forces (GRF), and joint moments were collected, analyzed, and compared using SPM for an entire gait cycle.
UNASSIGNED: Generally, when comparing the stroke patients\' affected (hemiplegic) and less-affected (contralateral) limbs with the control group, SPM identified significant differences in the late stance phase and early swing phase in the joint angles and moments in bilateral limbs (all p < 0.005). In addition, the vertical and anteroposterior components of GRF were significantly different in various periods of the stance phase (all p < 0.005), while the mediolateral component showed no differences between the two groups.
UNASSIGNED: SPM was able to detect abnormal gait patterns in both the affected and less-affected limbs of stroke patients with significant differences when compared with matched controls. The findings draw attention to significant quantifiable gait deviations in the less-affected post-stroke limb with the potential impact to inform gait retraining strategies for clinicians and physiotherapists.
UNASSIGNED: Fifteen chronic stroke patients [4 females, 11 males; age 53.7 (standard deviation 12.2) years; body mass 65.4 (10.4) kg; standing height 168.5 (9.6) cm] and 15 matched healthy controls [4 females, 11 males; age 52.9 (11.7) years; body weight 66.5 (10.7) years; standing height 168.3 (8.8) cm] were recruited. In a 10-m walking task, joint angles, ground reaction forces (GRF), and joint moments were collected, analyzed, and compared using SPM for an entire gait cycle.
UNASSIGNED: Generally, when comparing the stroke patients\' affected (hemiplegic) and less-affected (contralateral) limbs with the control group, SPM identified significant differences in the late stance phase and early swing phase in the joint angles and moments in bilateral limbs (all p < 0.005). In addition, the vertical and anteroposterior components of GRF were significantly different in various periods of the stance phase (all p < 0.005), while the mediolateral component showed no differences between the two groups.
UNASSIGNED: SPM was able to detect abnormal gait patterns in both the affected and less-affected limbs of stroke patients with significant differences when compared with matched controls. The findings draw attention to significant quantifiable gait deviations in the less-affected post-stroke limb with the potential impact to inform gait retraining strategies for clinicians and physiotherapists.
摘要：
■本研究旨在使用统计参数映射（SPM）识别和量化具有匹配健康对照的中风后偏瘫患者的运动学和动力学步态偏差。
■15名慢性中风患者[4名女性，11名男性；年龄53.7（标准偏差12.2）岁；体重65.4（10.4）kg；站立身高168.5（9.6）cm]和15个匹配的健康对照[4名女性，11名男性；年龄52.9（11.7）岁；体重66.5（10.7）岁；站立身高168.3（8.8）cm]。在10米步行任务中，接头角度,地面反作用力(GRF),收集了联合时刻，分析,并使用SPM对整个步态周期进行比较。
■一般来说，当比较中风患者受影响(偏瘫)和受影响较小(对侧)的肢体与对照组时，SPM发现，双侧肢体的关节角度和力矩在站立后期和摆动前期存在显着差异（所有p<0.005）。此外,GRF的垂直和前后分量在站立阶段的各个时期均存在显着差异（所有p<0.005），而中外侧成分在两组之间没有差异。
■SPM能够检测到中风患者受影响和受影响较小的肢体中的异常步态模式，与匹配的对照组相比具有显着差异。研究结果引起了人们对中风后受影响较小的肢体中明显的可量化步态偏差的关注，并具有潜在的影响，可以为临床医生和物理治疗师提供步态再训练策略。
■15名慢性中风患者[4名女性，11名男性；年龄53.7（标准偏差12.2）岁；体重65.4（10.4）kg；站立身高168.5（9.6）cm]和15个匹配的健康对照[4名女性，11名男性；年龄52.9（11.7）岁；体重66.5（10.7）岁；站立身高168.3（8.8）cm]。在10米步行任务中，接头角度,地面反作用力(GRF),收集了联合时刻，分析,并使用SPM对整个步态周期进行比较。
■一般来说，当比较中风患者受影响(偏瘫)和受影响较小(对侧)的肢体与对照组时，SPM发现，双侧肢体的关节角度和力矩在站立后期和摆动前期存在显着差异（所有p<0.005）。此外,GRF的垂直和前后分量在站立阶段的各个时期均存在显着差异（所有p<0.005），而中外侧成分在两组之间没有差异。
■SPM能够检测到中风患者受影响和受影响较小的肢体中的异常步态模式，与匹配的对照组相比具有显着差异。研究结果引起了人们对中风后受影响较小的肢体中明显的可量化步态偏差的关注，并具有潜在的影响，可以为临床医生和物理治疗师提供步态再训练策略。
