University of South Florida Motion Analysis Laboratory
Tampa, Florida, 33620, United States
NCT Number: NCT01620021
Hypotheses:
• A wearable sensor system can be used to accurately monitor three common gait parameters: gait speed, stride length, and torso motion.
Objectives:
This study will examine the feasibility of using wearable sensors to monitor common gait parameters: gait speed, stride length and torso motion. A wearable sensor system of 8 commercially available inertial measurement units (IMU) will be composed. These sensors will work in unison to monitor the gait parameters.
Technical Objectives
* Gather information on commercially available IMUs * Use computer software to monitor and record data from IMUs * Develop an algorithm that can monitor volunteer gait speed, stride length and torso motion * Develop a graphical algorithm that compares healthy patient data to potential mild traumatic brain injury (mTBI ) candidates * Determine if there is a potential for mTBI determination using the wearable sensors * Accurately validate the wearable sensor system to the gait parameters measured using a Vicon motion analysis system
Looking for future studies?
Notify Me18 year–65 year
All sexes
Observational
Tampa, Florida, 33620, United States
This study will examine the feasibility of using wearable sensors to monitor common gait parameters. A sensor system consisting of 8 wearable inertial measurement units (IMU) that include accelerometers, gyroscopes and magnetometers will be examined. These sensors will be programmed to work in unison to monitor gait parameters. The wearable sensor suite will have the capability to collect and store gait parameter data. The size and weight of each sensor should be similar to a standard metal wrist watch. The sensor suite will monitor three gait parameters: gait speed, stride length, and torso motion. These gait parameters are important for monitoring and detection of mild traumatic brain injury and as well as other neurological and vestibular disorders.
The wearable sensor suite will have the following design parameters:
The types of gait trials will be the following:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 60 seconds
Time frame: 60 seconds
Time frame: 60 seconds
Time frame: 60 seconds
University of South Florida
Other
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06748378
Brain Diseases, Cardiovascular Diseases
Warsaw, Masovian District, Poland
View Trial DetailsNCT07111091
Ankle Foot Orthosis (AFO), Balance
Istanbul, Turkey (Türkiye)
View Trial DetailsNCT06992518
3D Gait Analysis, Gait Analysis
Istanbul, büyükçekmece, Turkey (Türkiye)
View Trial DetailsNCT06683989
Gait Analysis, Neurologic Manifestations
Ankara, Altindag, Turkey (Türkiye)
View Trial Details