NCT04464863

Kinematic Analysis in Stroke Patients Using Microsoft Kinect and Akira Software: Kinect-Akira Movement Study

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 140 (estimated)
• Sponsor: Instituto de Investigación Hospital Universitario La Paz · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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

• Stroke

Interventions

Type	Name	Description
OTHER	Kinematic metrics	kinematic metrics recorded with Kinect (register brand) and extracted with Akira (register brand)

Timeline

• Start date: 2020-01-29
• Primary completion: 2021-01-29
• Completion: 2021-06-29
• First posted: 2020-07-09
• Last updated: 2020-07-09

Locations

1 site across 1 country: Spain