Kinematic Analysis in Stroke Patients Using Microsoft Kinect and Akira Software: Kinect-Akira Movement Study
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Stroke
- Sponsor
- Instituto de Investigación Hospital Universitario La Paz
- Enrollment
- 140
- Locations
- 1
- Primary Endpoint
- Kinematic metrics: movement acceleration
- Last Updated
- 5 years ago
Overview
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
Investigators
Eligibility Criteria
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.
Outcomes
Primary Outcomes
Kinematic metrics: movement acceleration
Time Frame: 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
Time Frame: 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
Time Frame: 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 Outcomes
- Relationship of kinematic measures with the degree of disability after stroke.(At 3 months after the index stroke)