Kinematic Analysis in Stroke Patients Using Microsoft Kinect and Akira Software: Kinect-Akira Movement Study
NCT04464863 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 140
Last updated 2020-07-09
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
Conditions
Interventions
- OTHER
-
Kinematic metrics
kinematic metrics recorded with Kinect (register brand) and extracted with Akira (register brand)
Sponsors & Collaborators
-
Instituto de Investigación Hospital Universitario La Paz
lead OTHER
Principal Investigators
-
María Alonso de Leciñana, MD PhD · Hospital Universitario La Paz, IdiPAZ
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-01-29
- Primary Completion
- 2021-01-29
- Completion
- 2021-06-29
Countries
- Spain
Study Locations
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