In this prospective, unicentric, case-control study, the main aim is to analyze joint movement and walking patterns in patients with acute stroke with a marker-free motion capture system. Case group: Stroke patients who fulfill the inclusion criteria are invited to participate in the study during admission. The evaluation consists of a workout designed by expert rehabilitation physicians and neurologists that is performed by the patient in front of the Microsoft Kinect camera. The custom-built software Akira record the joint angles of body trunk and upper limbs during the workout. The kinematic data will be analyzed with a machine learning algorithm that classifies the participant according to the kinematic data in normal movement or impaired movement (with the degree of impairment) by age decade. Control group: healthy participants (without neurological or osteomuscular diseases) matched by age and sex with cases 1:1. The correlation between kinematic and clinical scales (NIHSS) and functional scales (modified Rankin Scale) will be analyzed. A secondary objective will be to analyze the predictive value of the kinematic measurements with the functional outcome at three months
Study Type
OBSERVATIONAL
Enrollment
140
kinematic metrics recorded with Kinect (register brand) and extracted with Akira (register brand)
La Paz University Hospital, IdiPAZ
Madrid, Spain
RECRUITINGKinematic metrics: join angles
The kinect camera together with the software Akira will be used to automatically measure the degree angle of the following body joints: shoulder in abduction, shoulder inflexion, elbow in extension and in flexion and the angle formed by the forearm and the trunk with the shoulder in abduction.
Time frame: The change between the first week of index stroke (acute phase) and at 3 months after index stroke
Kinematic metrics: movement acceleration
The kinect camera together with the software Akira will be used to automatically measure the acceleration of the following movements: shoulder abduction and shoulder flexion.
Time frame: The change between the first week of index stroke (acute phase) and at 3 months after index stroke
Kinematic metrics: movement pattern
The kinect camera together with the software Akira will be used to automatically measure the pattern of the following movements: trunk oscillation during standing position and during walking; and trunk oscillation during seating position with opened and closed eyes.
Time frame: The change between the first week of index stroke (acute phase) and at 3 months after index stroke
Relationship of kinematic measures with the degree of disability after stroke.
Correlation between the kinematic metrics described before (joint angles, movement acceleration and movement pattern) and the degree of disability, measured y the modified Rankin scale. The modified Rankin Scale (mRS) is a extensively use scale to measure dependency after stroke. The minimum value is 0 (no sequels or disability) and the maximum value is 6 (dead). The lower the score in the scale, the better is the outcome.
Time frame: At 3 months after the index stroke
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