Smart Textile Technology for Scoliosis
Recruitment status was: Not yet recruiting
The investigators hypothesize that a garment-integrated sensing system will be able to detect with clinical accuracy the position of the spine. The investigator will evaluate this using healthy adult volunteers, who will don sensing garments and assume a series of spinal postures. Concurrent with garment sensing, the participant's spine position will be measured using a motion-capture system that uses reflective markers to detect positions of markers in 3D space.
The motion-capture system provides a gold-standard reference measure to which the sensing garments will be compared. Because the investigators are evaluating the accuracy of the sensing garment, it is only necessary that the investigator test the garments on participants with subtly different body shapes. Healthy adult volunteers provide an adequate input to the sensing signal.
|Study Design:||Observational Model: Case-Only
Time Perspective: Cross-Sectional
|Official Title:||Smart Textile Technology for Scoliosis: Aim 1|
- Body movement [ Time Frame: Participants will be assessed during a 1-2 hour visit. Visits will be scheduled over a period of approximately one year. ]The movement and position of participants' spine will be recorded using a motion capture device and using a prototype sensing garment during the 1-2 hour lab test. (This is the only point at which investigators will interact with participants)
|Study Start Date:||January 2015|
|Estimated Study Completion Date:||July 2015|
|Estimated Primary Completion Date:||July 2015 (Final data collection date for primary outcome measure)|
Please refer to this study by its ClinicalTrials.gov identifier: NCT02080611
|United States, Minnesota|
|University of Minnesota||Not yet recruiting|
|Minneapolis, Minnesota, United States, 55455|
|Principal Investigator:||Lynne Dunn, PhD||University of Minnesota - Clinical and Translational Science Institute|