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| Name | Class |
|---|---|
| Moai Technologies | UNKNOWN |
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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Body movement | 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) | Participants will be assessed during a 1-2 hour visit. Visits will be scheduled over a period of approximately one year. |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy adult volunteers will be used, recruited from the university community.
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| Name | Affiliation | Role |
|---|---|---|
| Lynne Dunn, PhD | University of Minnesota | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Minnesota | Minneapolis | Minnesota | 55455 | United States |
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| ID | Term |
|---|---|
| D012600 | Scoliosis |
| D007738 | Kyphosis |
| ID | Term |
|---|---|
| D013121 | Spinal Curvatures |
| D013122 | Spinal Diseases |
| D001847 | Bone Diseases |
| D009140 | Musculoskeletal Diseases |
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