Smart Textile Technology for Scoliosis

NCT02080611 | Withdrawn

• 1 other identifier: 1402M47947
• Study Type: observational
• Target: N/A
• Locations: 1 country
• Sites: 1

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.

Conditions

Spinal Deformities; Scoliosis; Kyphosis

Outcome Measures

Primary Outcomes (1)

• 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.

Eligibility Criteria

• Age: 18 Years - 65 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Healthy adult volunteers will be used, recruited from the university community.

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.

Sponsors & Collaborators

• University of Minnesota: lead
• Moai Technologies: collaborator

Study Sites (1)

University of Minnesota

Minneapolis, Minnesota, 55455, United States

Location

MeSH Terms

Conditions

Scoliosis; Kyphosis

Condition Hierarchy (Ancestors)

Spinal Curvatures; Spinal Diseases; Bone Diseases; Musculoskeletal Diseases

Study Officials

• Lynne Dunn, PhD

  University of Minnesota

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: February 28, 2014
• First Posted: March 6, 2014
• Study Start: January 1, 2016
• Primary Completion: July 1, 2016
• Study Completion: July 1, 2016
• Last Updated: November 30, 2017

Record last verified: 2017-11

Locations

US (1)