Full Content is available to subscribers

Subscribe/Learn More  >

Gait-Monitoring Wearable Technology for Transtibial Prosthetics

[+] Author Affiliations
Kolby V. Hebert, Rachel S. Keen, Derek R. King, Sally F. Shady

Wentworth Institute of Technology, Boston, MA

Paper No. IMECE2016-66226, pp. V003T04A012; 9 pages
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 3: Biomedical and Biotechnology Engineering
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5053-4
  • Copyright © 2016 by ASME


Approximately 40,000 transtibial amputations occur each year in the United States. Current lower leg prosthetic options range from passive artificial limbs to computerized electronic models [1]. Because of insurance limitations, most patients use less sophisticated prosthetics. The average cost of lower leg prosthetics and corresponding medical care for single-leg veterans is at least $1.4 million due to increased rehabilitation times [1]. Gait training methods for transtibial amputees include extended rehabilitation processes lasting up to 9 months. These exercises provide no empirical data to analyze patient gait progress.

The device design is a wearable technology that acquires gait information that is evidentiary for physicians when deciding to continue or dismiss further rehabilitation and follow up medical appointments. The technology includes a gyroscope, accelerometer, microprocessor, and electronic components housed in a 3D printed casing that is attachable to any prosthetic, or a biological leg. Pressure sensors are embedded into a sock-like foot covering that is used in tandem with the other electronics.

Gait data collection was validated by comparing gait parameter values with literature values. A series of control tests on non-amputees was conducted in order to gather standard data and develop consistent testing practices for the prototype design. These findings are used as a reference when evaluating amputee gait data against non-amputee gait data.

As the microprocessor collects data, information is stored onto a memory card used to relay data to the developed program for data analysis. Data analysis is supported by a graphical user interface via LabView which provides valuable gait data to physicians and physical therapists. Gait data analysis is expected to result in asymmetrical patterns for below-the-knee amputees compared to non-amputees as well as abnormal pressure loads throughout the foot [1].

Copyright © 2016 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In