Smart Textile Technology for Scoliosis
NCT02080611 · Status: WITHDRAWN · Type: OBSERVATIONAL
Last updated 2017-11-30
Summary
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.
Conditions
- Spinal Deformities
- Scoliosis
- Kyphosis
Sponsors & Collaborators
-
Moai Technologies
collaborator UNKNOWN - lead OTHER
Principal Investigators
-
Lynne Dunn, PhD · University of Minnesota
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-01-31
- Primary Completion
- 2016-07-31
- Completion
- 2016-07-31
Countries
- United States
Study Locations
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