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
- •This study will test a group of stroke patients and a group of healthy subjects in each condition.
- •To assess communication, memory and understanding the Montreal Cognitive Assessment (MoCA) written test is going to be carried out. This test is a valid assessment of cognitive abilities, such as orientation, short-term memory, executive visuospatial ability, language abilities, abstraction, and attention. To enrol in this study, both people (post-stroke and healthy controls) need to do a MoCA test and have more than 25 points on the MoCA test
- •Inclusion Criteria for people post-stroke:
- •People diagnosed with first-ever stroke (as defined by the WHO);
- •Age between 18 and 80 years;
- •Time since diagnosis between 1 week and 6 months;
- •Functional ambulation category below 3 (meaning a patient who requires intermittent or continuous manual contact to support body weight, maintain balance or assist coordination.);
- •Does not meet the Ekso robotic exoskeleton frame limitations (See list below)
- •Able to provide written or verbal informed consent.
排除标准
- •for people post-stroke:
- •Extensive experience with the use of the EksoNR (more than four training sessions);
- •Other neurological or musculoskeletal problems leading to impaired gait (unrelated to their stroke);
- •Severe complicating comorbidities (e.g., cardiovascular instability, pulmonary diseases);
- •Severe deficits of communication, memory or understanding (25 points or less on the MoCA test);
- •And contraindications for EksoNR use (see list below).
- •A group of healthy participants within the same age category will be used as controls.
- •Exclusion Criteria for healthy controls:
- •Disabilities leading to impaired gait;
- •Severe complicating comorbidities (e.g.: cardiovascular instability, pulmonary diseases);
- •Severe deficits of communication, memory or understanding (25 points or less on the MoCA test);
- •Contraindications for EksoNR use (see list below).
- •Exclusion criteria related to the use of the EksoNR :
- •Severe concurrent medical conditions: infections, circulatory, heart or lung, pressure sores.
- •Severe spasticity (Modified Ashworth 4).
- •Unstable spine or unhealed limbs or pelvic fractures.
- •Active heterotopic ossification interfering with lower extremity range of motion.
- •Significant contractures.
- •Psychiatric or cognitive situations that may interfere with the proper operation of the device.
- •Cognitive impairments resulting in the inability to follow directions.
- •Pregnancy.
- •Colostomy.
- •Poor skin integrity in areas in contact with the device.
- •Decreased standing tolerance due to orthostatic hypotension.
- •Range of motion restrictions that would prevent a patient from achieving a normal, reciprocal gait pattern, or would restrict a patient from completing normal sit-to-stand or stand-to-sit transitions: Knee flexion contracture greater than 12° and inability to achieve 0° neutral angle dorsiflexion with knee flexion up to 12°.
- •Leg length discrepancy greater than 1.27 cm for thighs or 1.91 cm for lower legs.
- •Unresolved deep vein thrombosis.
- •Uncontrolled autonomic dysreflexia.
- •Lower limb prosthesis.
- •Requirements for the use of the EksoNR:
- •Weigh 100 kg or less.
- •Between 1.5 m and 1.88 m tall.
- •Have a standing hip width of 45 cm or less.
- •Have a near-normal range of motion in hips, knees, and ankles.
- •Able to attain neutral ankle dorsiflexion with <12 degrees of knee flexion contracture.
- •Upper leg length discrepancy must be equal to or less than 1.27 cm and lower leg discrepancy equal to or less than 1.91 cm.
研究组 & 干预措施
Stroke
干预措施: High Swing Assistance (Device)
Stroke
干预措施: Neutral Swing Assistance (Device)
Stroke
干预措施: High Swing Resistance (Device)
Stroke
干预措施: Max Trajectory Control (Device)
Healthy
干预措施: Neutral Swing Assistance (Device)
Healthy
干预措施: High Swing Resistance (Device)
Healthy
干预措施: Max Trajectory Control (Device)
Healthy
干预措施: High Swing Assistance (Device)
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