Kyphosis, Scoliosis, Spinal Deformities
Conditions
Brief 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.
Interventions
None listed
Sponsors
Moai Technologies
University of Minnesota
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy adults
Exclusion criteria
* Under age 18 or over age 65 * Any medical condition that impairs movement or makes movement painful or difficult.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Body movement | 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) |
Countries
United States
Outcome results
None listed