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

NCT ID: NCT04464863

Last Updated: 2020-07-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

140 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-01-29

Study Completion Date

2021-06-29

Brief Summary

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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

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Conditions

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Stroke

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Cases

Acute stroke patients during the first week of evolution

Kinematic metrics

Intervention Type OTHER

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

Control

Age and sex 1:1 healthy participants

Kinematic metrics

Intervention Type OTHER

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

Interventions

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Kinematic metrics

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

Intervention Type OTHER

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Instituto de Investigación Hospital Universitario La Paz

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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María Alonso de Leciñana, MD PhD

Role: STUDY_DIRECTOR

Hospital Universitario La Paz, IdiPAZ

Locations

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La Paz University Hospital, IdiPAZ

Madrid, , Spain

Site Status RECRUITING

Countries

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Spain

Central Contacts

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María Alonso de Leciñana, MD PhD

Role: CONTACT

+34 917 277 444

Raquel Gutiérrez Zúñiga, MD

Role: CONTACT

+34 917 277 444

Facility Contacts

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Exuperio Díez Tejedor, MD, PhD, Prof.

Role: primary

917277444 ext. +34

Raquel Gutiérrez Zúñiga, MD

Role: backup

917277444 ext. +34

Other Identifiers

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KAM-Study (PI-3787)

Identifier Type: -

Identifier Source: org_study_id

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