Stroke
Conditions
Brief summary
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
Interventions
OTHERKinematic metrics
kinematic metrics recorded with Kinect (register brand) and extracted with Akira (register brand)
Sponsors
Instituto de Investigación Hospital Universitario La Paz
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Acute Stroke patients (within the first week of index stroke) * Neurological deficit present at the moment of the evaluation. * Informed consent signed.
Exclusion criteria
* Clinical instability * Aphasia or cognitive decline that prevents the understanding of the workout. * Refuse to participate * Previous neurological or osteomuscular conditions. * Previous conditions with less than 3 months of expectancy of life.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Kinematic metrics: join angles | The change between the first week of index stroke (acute phase) and at 3 months after index stroke | 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. |
| Kinematic metrics: movement acceleration | The change between the first week of index stroke (acute phase) and at 3 months after index stroke | 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. |
| Kinematic metrics: movement pattern | The change between the first week of index stroke (acute phase) and at 3 months after index stroke | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Relationship of kinematic measures with the degree of disability after stroke. | At 3 months after the index 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. |
Countries
Spain
Contacts
Primary ContactMaría Alonso de Leciñana, MD PhD
Backup ContactRaquel Gutiérrez Zúñiga, MD
Outcome results
None listed