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Design and Validation of a Dynamic Digital Ruler for Hands-Free Chronic Wound Assessment

[+] Author Affiliations
Etienne Dumesnil, Divya Konda, Gabriel Aldaz, Hnin Ookhin, Lauren Aquino Shluzas

Stanford University, Stanford, CA

David Pickham

Stanford Health Care, Stanford, CA

Paper No. DETC2015-46997, pp. V003T14A009; 9 pages
doi:10.1115/DETC2015-46997
From:
  • ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 17th International Conference on Advanced Vehicle Technologies; 12th International Conference on Design Education; 8th Frontiers in Biomedical Devices
  • Boston, Massachusetts, USA, August 2–5, 2015
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5710-6
  • Copyright © 2015 by ASME

abstract

This paper documents the design and validation of a measurement tool for chronic wound assessment. Using the Google Glass™ head-mounted display (HMD) as a platform for research, we developed a digital ruler to dynamically capture wound dimensions in a hands-free manner. The system consists of the Glass HMD equipped with an infrared light emitting diode (IR-LED) distance sensor, lithium polymer battery, and a custom printed circuit board. Programmed using Android 4.4.2 (API 19), orthogonal rulers along the X and Y axes are superimposed on the Glass eyepiece and calibrated for measurement accuracy. To evaluate system performance, we conducted an ANOVA Gage Repeatability and Reproducibility (R&R) analysis with six wound care nurses measuring seven artificial wounds of various dimensions, two times each. Data was analyzed using Minitab statistical software. For width measurements, the results indicate that the total Gage R&R percent contribution was 10.2%, with 4.2% attributed to equipment variation (repeatability) and 6.0% to operator variation (reproducibility). Wound-to-wound variation was 89.8%. For length measurements, the total Gage R&R percent contribution was 16.7%, with 14.1% attributed to equipment variation and 2.6% to operator variation. Wound-to-wound length variation was 83.3%. The system received positive feedback from nurses as a hands-free measurement tool for sterile wound handling. Yet, further refinements are needed to improve system accuracy and depth measurement capabilities.

Copyright © 2015 by ASME
Topics: Design

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