Healthy
Conditions
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
Interventions
None listed
Sponsors
Hacettepe University
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 40 Years
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
Turkey (Türkiye)
Outcome results
None listed