Walking With the EksoNR in Stroke Patients and Healthy Controls: Biomechanical Changes and User Experience.
试验速览
- 阶段
- 不适用
- 入组人数
- 24
- 主要终点
- Cadence
研究概览
简要总结
Further studies are needed to provide more detailed information on the potential effects of robotic gait training in general, as well as on the influence on gait movement patterns in particular. Patient perspectives and feedback contribute to the continuous development of exoskeletal technology. For these reasons, the main objective of this study is to decipher the relationship between EksoNR's robotic control settings and walking biomechanics in stroke patients and healthy subjects; the second objective is to discover the user experience during the use of EksoNR.
详细描述
Stroke is the leading cause of severe disability in adults resulting in mobility, balance, and coordination deficits. Because of this, walking recovery has a significant impact on stroke patients' quality of life. To improve rehabilitation techniques, robotic exoskeletons are being increasingly used during physiotherapy sessions. The use of robotic exoskeletons enhances conventional poststroke rehabilitation via intense and task-oriented training. To achieve a normal gait pattern, it is essential to restore the correct activation timing of the lower limb muscles.
Designed by Ekso Bionics, EksoNR is the first exoskeleton device to receive FDA clearance for rehabilitation use with patients with acquired brain injury and stroke patients. EksoNR has several settings that can be adapted to have the best user experience possible and to provide individual-specific training. This study is being proposed to better understand the impact of each setting on stroke recovery and user experience. The two key outcomes are 1) to decipher the relationship between EksoNR robotic control settings and the biomechanics of walking; and 2) to uncover the psychological experiences during EksoNR use. To achieve these outcomes, the investigators are going to measure the effects of Swing Assist EksoNR settings on Gait kinematics; Kinetics; Muscle activity and Activation Timing; and User Experience.
The investigators will use a two-way repeated-measures design with a group (2 levels, healthy and stroke patients) as between factor and settings (4 levels) and user experience as within factors. It is an intra-subject design with an allocation ratio of 1/1. The healthy and stroke patients will have the same age limits.
Because there has not been a lot of research yet about the effect of different settings of the EksoNR on the rehabilitation of stroke patients or on the user experience using the EksoNR this study will use an exploratory framework. The purpose is to investigate what the different outcomes are for all the settings on biomechanical factors: muscle activity, kinematics and spatiotemporal factors.
The experiments will be conducted at the Brubotics Rehabilitation Research Center at the Vrije Universiteit Brussel (VUB)'s Brussels health campus (centrally located between Universitair Ziekenhuis Brussel (UZBrussel), Erasmushogeschool Brussel (EhB ) campus Jette and VUB Jette), led by Prof. Eva Swinnen and Prof. Nina Lefeber.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Treatment
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Cadence
时间窗: Data is only going to be collected on session 3, between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
Measured using the Vicon Nexus. Markers will be placed on the pelvis and the lower body both on the right and left side. The cadence will be measured while walking during the different conditions.
Gait speed
时间窗: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
Measured using the Vicon Nexus. Markers will be placed on the pelvis and the lower body both on the right and left side. Gait speed will be measured while walking during the different conditions.
Step length
时间窗: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
Measured using the Vicon Nexus. Markers will be placed on the pelvis and the lower body both on the right and left side. Step length will be measured while walking during the different conditions.
Muscle Activity
时间窗: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
The EMG Cometa will be used to evaluate muscle activity; therefore, the Electromyography (EMG) wireless sensors will be used. First the position of the anatomical landmarks must be located according to the Surface ElectroMyoGraphy for the Non-Invasive Assessment of Muscles (SENIAM) guidelines for the following lower extremity muscles: Rectus Femoris (RF), Vastus Lateralis (VL), Vastus Medialis (VM), Biceps Femoris (BF), Tibialis Anterior (TA), Soleus (SOL), Gastrocnemius Lateralis (GL).
Kinematics parameters
时间窗: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
Measured using the Vicon Nexus. For kinematics, the angles of the lower extremities will be determined. Markers will be placed on the pelvis and the lower body both on the right and left side. The kinematics parameters will be measured while walking during the different conditions.
次要结局
- User Experience(Filled out by both the stroke and healthy patients immediately after the end of session 3 (day 3).)
研究者
Eva Swinnen
Ph.D, Professor
Vrije Universiteit Brussel