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

NCT04464863 | Unknown

• 1 other identifier: KAM-Study (PI-3787)
• Study Type: observational
• Target: 140
• Locations: 1 country
• Sites: 1

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

Conditions

Stroke

Outcome Measures

Primary Outcomes (3)

• Kinematic metrics: join angles

  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.

  The change between the first week of index stroke (acute phase) and at 3 months after index stroke

• Kinematic metrics: movement acceleration

  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.

  The change between the first week of index stroke (acute phase) and at 3 months after index stroke

• Kinematic metrics: movement pattern

  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.

  The change between the first week of index stroke (acute phase) and at 3 months after index stroke

Secondary Outcomes (1)

• Relationship of kinematic measures with the degree of disability after stroke.

  At 3 months after the index stroke

Study Arms (2)

Cases

Acute stroke patients during the first week of evolution

Other: Kinematic metrics

Control

Age and sex 1:1 healthy participants

Other: Kinematic metrics

Interventions

Kinematic metrics OTHER

kinematic metrics recorded with Kinect (register brand) and extracted with Akira (register brand)

Cases; Control

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Acute stroke patients and healthy controls, matched by age and sex. The inclusion and exclusion criteria are defined below

You may qualify if:

• Acute Stroke patients (within the first week of index stroke)
• Neurological deficit present at the moment of the evaluation.
• Informed consent signed.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Instituto de Investigación Hospital Universitario La Paz: lead

Study Sites (1)

La Paz University Hospital, IdiPAZ

Madrid, 28046, Spain

RECRUITING

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases

Study Officials

• María Alonso de Leciñana, MD PhD

  Hospital Universitario La Paz, IdiPAZ

  STUDY DIRECTOR

Central Study Contacts

María Alonso de Leciñana, MD PhD

CONTACT

+34 917 277 444; malecinanacases@salud.madrid.org

Raquel Gutiérrez Zúñiga, MD

CONTACT

+34 917 277 444; rgutierrezz@salud.madrid.org

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 11, 2020
• First Posted: July 9, 2020
• Study Start: January 29, 2020
• Primary Completion: January 29, 2021
• Study Completion: June 29, 2021
• Last Updated: July 9, 2020

Record last verified: 2020-04

Locations

ES (1)