Kinematic Analysis in Stroke Patients Using Microsoft Kinect and Akira Software: Kinect-Akira Movement Study
- Conditions
- Stroke
- Interventions
- Other: Kinematic metrics
- Registration Number
- NCT04464863
- 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
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 140
- Acute Stroke patients (within the first week of index stroke)
- Neurological deficit present at the moment of the evaluation.
- Informed consent signed.
- 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.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Cases Kinematic metrics Acute stroke patients during the first week of evolution Control Kinematic metrics Age and sex 1:1 healthy participants
- Primary Outcome Measures
Name Time Method 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: 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 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 Outcome Measures
Name Time Method 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.
Trial Locations
- Locations (1)
La Paz University Hospital, IdiPAZ
🇪🇸Madrid, Spain