Upper Extremity Kinematics During Walking

Completed

• Conditions: Healthy

• Registration Number: NCT04296084
• Lead Sponsor: Hacettepe University

Brief Summary

Our aim is to investigate the upper extremity kinematics during walking in healthy individuals.

Detailed Description

Determination of Upper Extremity Kinematics During Walking

Basic Information
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Recruitment & Eligibility
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Study & Design
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Trial Locations

Study Timeline

• Study First Submitted: 2020-02-27
• Study First Submitted QC: 2020-03-03
• Study First Posted: 2020-03-05
• Study Start: 2020-03-09
• Status Verified: 2020-05
• Primary Completion: 2020-05-10
• Study Completion: 2020-05-12
• Last Update Submitted: 2020-12-28
• Last Update Posted: 2020-12-29

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 47

Inclusion Criteria

• Between the ages of 20 and 40 years individuals
• Without any medical condition that would affect gait or arm swing

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Exclusion Criteria

• People with upper or lower limb asymmetry

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Kinematic analysis	up to 20 weeks	For kinematic analysis, MVN BIOMECH Awinda MTW2-3A7G6 sensors (Xsens Technologies B.V. Enschede, The Netherlands) were used. A Kalman filter (Xsens Kalman Filter, XKF) was used for 3D reconstruction of body segment position and orientation. IMU sensors were placed in accordance with the anatomical regions found in the directive issued by the International Biomechanics Association. Joint kinematic data of bilateral upper limb, lower limb and trunk were recorded with IMU sensors and wireless station. Xsens MVN Studio 4.6 was used to track IMU orientations according to the world-based coordinate framework. To make an effective analysis, gloves, vests and velcro were used to attach sensors to the extremities and body.

Secondary Outcome Measures

Name	Time	Method
Time-Distance Characteristics of the Gait	up to 20 weeks	GAITRite (CIR System INC. Clifton, NJ 07012) walkway system will be used. GAITRite; It is an electronic walkway which consists of portable carpet and sensors embedded on the carpet and transfers every foot contact to the computer when individuals walk on the carpet. With GAITRite, base of support (cm), velocity (cm / s) and cadence (steps / min) parameters will be evaluated.

Trial Locations

Locations (1)

Hacettepe University Faculty of Physical Therapy and Rehabilitation; 🇹🇷 Ankara, Altındağ, Turkey