Upper Extremity Kinematics During Walking

Determination of Upper Extremity Kinematics During Walking in Healthy Individuals

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

Study Overview

• Status: Completed
• Conditions: Healthy

Detailed Description

Determination of Upper Extremity Kinematics During Walking

• Study Type: Observational
• Enrollment (Actual): 47

Contacts and Locations

Study Locations

• Turkey
  • Altındağ
    • Ankara, Altındağ, Turkey, 06100
      • Hacettepe University Faculty of Physical Therapy and Rehabilitation

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 20 years to 40 years (Adult)
• Accepts Healthy Volunteers: N/A
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Healthy individuals in the age of 20-40 years

Description

Inclusion Criteria:

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

Exclusion Criteria:

• People with upper or lower limb asymmetry

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
healthy individuals; Volunteer healthy individuals who are between the ages of 20-40 and who do not have any medical condition to affect gait or arm swing.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Kinematic analysis	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.	up to 20 weeks

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Time-Distance Characteristics of the Gait	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.	up to 20 weeks

Collaborators and Investigators

• Sponsor: Hacettepe University
• Investigators: Principal Investigator: Ali İ Yalçın, MSc, Hacettepe University; Principal Investigator: Burcu Şahin, MSc, Hacettepe University; Principal Investigator: Dilara Onan, MSc, Hacettepe University

Study record dates

Study Major Dates

• Study Start (Actual): March 9, 2020
• Primary Completion (Actual): May 10, 2020
• Study Completion (Actual): May 12, 2020

Study Registration Dates

• First Submitted: February 27, 2020
• First Submitted That Met QC Criteria: March 3, 2020
• First Posted (Actual): March 5, 2020

Study Record Updates

• Last Update Posted (Actual): December 29, 2020
• Last Update Submitted That Met QC Criteria: December 28, 2020
• Last Verified: May 1, 2020

More Information

Terms related to this study

• Other Study ID Numbers: Kinematic analysis in walking

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No