Smart Textile Technology for Scoliosis

Smart Textile Technology for Scoliosis: Aim 1

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.

Study Overview

• Status: Withdrawn
• Conditions: Scoliosis; Kyphosis; Spinal Deformities

• Study Type: Observational

Contacts and Locations

Study Locations

• United States
  • Minnesota
    • Minneapolis, Minnesota, United States, 55455
      • University of Minnesota

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 65 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

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

Description

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.

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	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.

Collaborators and Investigators

• Sponsor: University of Minnesota
• Collaborators: Moai Technologies
• Investigators: Principal Investigator: Lynne Dunn, PhD, University of Minnesota

Study record dates

Study Major Dates

• Study Start: January 1, 2016
• Primary Completion (Actual): July 1, 2016
• Study Completion (Actual): July 1, 2016

Study Registration Dates

• First Submitted: February 28, 2014
• First Submitted That Met QC Criteria: March 4, 2014
• First Posted (Estimate): March 6, 2014

Study Record Updates

• Last Update Posted (Actual): November 30, 2017
• Last Update Submitted That Met QC Criteria: November 29, 2017
• Last Verified: November 1, 2017

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Musculoskeletal Diseases; Spinal Diseases; Bone Diseases; Spinal Curvatures; Scoliosis; Kyphosis
• Other Study ID Numbers: 1402M47947