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Smart Textile Technology for Scoliosis

University of Minnesota (UMN) logo

University of Minnesota (UMN)

Status

Withdrawn

Conditions

Spinal Deformities
Scoliosis
Kyphosis

Study type

Observational

Funder types

Other

Identifiers

NCT02080611
1402M47947

Details and patient eligibility

About

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.

Sex

All

Ages

18 to 65 years old

Volunteers

Accepts Healthy Volunteers

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.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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