In daily clinic, the use of treadmills to analyze the gait quality of a patient increases. The advantages of using a treadmill are that a smaller space is needed compared to a 3D lab for motion analysis, more steps can be recorded in shorter time period and patients should not start, stop or rotate during the analyses. One of the systems which can be used to perform motion analysis on a treadmill is the GRAIL. This GRAIL (Gait Real-time Analysis Interactive Lab) consists of an advanced treadmill with force sensors. Patients can walk on this treadmill with an imposed speed (fixed-speed) or at a speed determined by the patient itself (self-paced). Because not everyone is used to walk on a treadmill it is important to know if a person's walking pattern is different when he walks over ground compared to walking on the treadmill. Based on these insights, decisions can be made regarding interventions including treadmill training or this findings can be taking into account during further analysis of walking patterns on a treadmill. For this study stroke patients would be invited for an assessment on the treadmill (1 assessment moment). The movement pattern of these patients would be compared in different conditions: * (Forward and backward) Walking at comfortable walking speed on the GAITRite * Walking at comfortable walking speed on the treadmill in fixed speed mode * Walking at comfortable walking speed +0.2 m/s (faster walking) on the treadmill in fixed speed mode * Walking at comfortable walking speed on the treadmill in self-paced mode * Backward walking at comfortable walking speed on the treadmill in fixed speed mode (only if patients are eligible to do so) Hypotheses based on this study protocol: * Do stroke patients walk different over ground compared to treadmill walking * Do stroke patients walk different during treadmill walking self-paced compared to fixed speed * Do stroke patients walk different during treadmill walking fixed speed comfortable walking speed compared to fast walking * Is there a correlation between upper extremity impairment and arm swing
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
25
Patients walk over ground on a mat with sensors and on a treadmill with sensors (in different conditions) to compare their movement pattern. Also the movement pattern will be compared between walking at comfortable walking speed en fast walking. Finally, the correlation between upper extremity impairment and arm swing will be investigated.
Ghent University Hospital
Ghent, Belgium
Change in kinematics
Change in full body 3D kinematic analyses during walking (°)
Time frame: Single point of assessment in one day
Change in kinetics
Change in full body 3D kinetic analyses during walking
Time frame: Single point of assessment in one day
Speed variability during self-paced treadmill walking
Average walking speed (and standard deviation) during self-paced treadmill walking
Time frame: Single point of assessment in one day
Postural stability test
Balance test
Time frame: Baseline assessment before walking trials
Fugl Meyer assessment UL
Impairment test for upper extremity in stroke patients: Fugl Meyer assessment - score between 0 and 66. Higher score reflects less impairment of the upper limb.
Time frame: Baseline assessment before walking trials
Fugl Meyer assessment LL
Impairment test for lower extremity in stroke patients: Fugl Meyer assessment lower extremity. Scores between 0 - 34. Higher score reflects less impairment of the lower limb.
Time frame: Baseline assessment before walking trials
Lateral rotation of the scapula
Lateral rotation of the scapula measured with an inclinometer (°)
Time frame: Baseline assessment before walking trials
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.