Smart Textile Technology for Scoliosis

Withdrawn before enrolling

Conditions studied: Spinal Deformities, Scoliosis, Kyphosis

In brief

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.

Key facts

Study ID

NCT02080611

Run by

University of Minnesota

People needed

0

Starts

2016-01-01

Expected to finish

2016-07-01

Last updated by the study team

2017-11-30

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Healthy adults

You may not qualify if…

• Under age 18 or over age 65
• Any medical condition that impairs movement or makes movement painful or difficult.

Where it is running

• University of Minnesota — Minneapolis, Minnesota, United States

Full record on ClinicalTrials.gov

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