Biofeedback Gait Retraining for Stiff Knee Gait Correction: Multi-joint Adaptation in Children and Young Adults With Brain Injury
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 10
- 试验地点
- 2
- 主要终点
- Peak hip flexion angle
研究概览
简要总结
The research team has developed a visual kinematic biofeedback system which is designed to help children with hemiplegic cerebral palsy (CP) correct a pattern of reduced knee extension in terminal swing and early stance. The system provides real-time feedback on the knee angle pattern during walking on a treadmill. From a pilot study on children with CP, the investigators observed that when the system was used in children who have stiff knee gait (SKG), training with knee feedback alone could lead to an increase in hip flexion which in turn led to limited normalization of the knee pattern through the whole gait cycle. This study, funded by the NIDILRR Switzer grant (PI: X Liu, Ph.D.), seeks to address the question of whether a training design with feedback on both the knee and hip joints would reduce this tendency to generate unintended changes in hip joint motion, and in doing so also improve convergence to the intended knee joint pattern. This study will test ten children and young adults with brain injury who have SKG and examine their short term adaptations to two types of kinematic feedback training: feedback training on the knee alone (condition B) and sequential switched feedback training on the knee and the hip (condition A). An additional sensor placed on the pelvis will be added to the current feedback system for measurement and feedback on the hip joint angle. Software enhancements will also be made with methods that will allow study and description of adaptations in measures of inter-limb symmetry during training. The participants will visit twice with a 2-week washout period between the two visits. Five participants will first undergo condition B in the first visit and then condition A in the second visit, while the other five participants will start with condition A in the first visit and then undergo condition B in the second visit. To compare the effects of the conditions on normalizing the joint angle trajectories, the knee and hip kinematics will be collected and analyzed in both the conditions. To investigate the coordination of lower limb segments under feedback training, relative phase measures will be analyzed on the hip and the knee. To examine whether participants adapt to the feedback retraining in terms of improvement in gait quality, symmetry ratios will be analyzed.
详细描述
Participant characteristics
This study will recruit 10 participants according to the inclusion and exclusion criteria.
System development
In order to measure the quantitative change in hip joint angle online, an additional sensor will be placed on the pelvis segment (overlying the sacrum between the posterior superior iliac spines) and added to the current feedback system. Totally four sensors will be used, including the sensors on the pelvis, thigh, shank, and heel. The hip flexion angle will be calculated from pelvis and thigh sensors. The knee flexion angle will be calculated from thigh and shank sensors, while the heel sensor signal is monitored to isolate strides by detecting contact of the foot with the support surface. To help subjects easily recognize which joint the feedback is cueing for, different backgrounds is selected for the feedback interface for the hip joint and knee joint, respectively. Gait patterns will be video recorded in a sagittal view of the lower extremities. In order to test gait asymmetry by symmetry ratio (dividing the smaller value by the larger value between trained and untrained lower limbs), stance phase duration (% gait cycle) from heel strike to toe off will be identified by motion capturing system with reflective markers. Reflective markers will be placed on the ankles and shoes (fifth metatarsal, heel, rearfoot along the line from heel to toe and below the ankle) on both sides to measure the heel down and toe off events.
Biofeedback gait retraining protocol
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Sequential
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 7 Years 至 21 Years(Child, Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •age 7 to 21;
- •diagnosed with brain injury including but not limited to Cerebral Palsy, Stroke,Traumatic Brain Injury;
- •ability to walk on a treadmill without assistive devices based on parent/guardian report and/or treatment history;
- •the cognitive development is at the level needed to: understand and follow instructions, answer questions, be able to understand the purpose of the study and the activities involved.
排除标准
- •Botulinum toxin treatment less than 16 weeks before initiation of the study
- •Recent or concurrent treatment that might interfere with the study.
结局指标
主要结局
Peak hip flexion angle
时间窗: immediate after the second training session
The Peak hip flexion angle (PHF) is the mean maximum knee flexion angles in the last ten strides of the last trial with feedback off.
Root mean square error of the knee flexion angle
时间窗: immediate after the second training session
The root-mean-square error of the knee flexion angle (RMSE_KF) will be calculated between the measured and target knee flexion angles in the last ten strides of the last trial with feedback off in each training session.
Peak knee flexion angle
时间窗: immediate after the second training session
The Peak knee flexion angle (PKF) is the mean maximum knee flexion angles in the last ten strides of the last trial with feedback off.
Symmetry ratio of the stance phase
时间窗: immediate after the second training session
The symmetry ratio is calculated by dividing the smaller value by the larger value (trained vs. untrained lower limbs) of the stance phase time (% gait cycle). This results in a value between 0.0 and 1.0, with values closer to 1.0 indicating greater symmetry.
Minimum relative phase angle between hip and knee
时间窗: immediate after the second training session
Minimum relative phase angle between hip and knee is the minimum difference in phase angle between hip and knee. Phase angle is computed as the inverse tangent of angular velocity divided by angular displacement.
次要结局
未报告次要终点
