Á priori alignment of transtibial prostheses: A comparison and evaluation of three methods

Andrea J. Ikeda*, Kim D. Reisinger, Melissa Malkush, Yeongchi Wu, Mark L. Edwards, Robert S. Kistenberg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Purpose: The objectives of this study were to compare three á priori alignment methods and evaluate them based on initial gait quality and further alignment changes required to optimize gait. á priori alignment is requisite for monolimbs, transtibial prostheses in which the socket and pylon are made from one piece of plastic, because monolimbs have no alignment adjustability. Method: The three methods investigated were traditional bench alignment (TRAD), vertical alignment axis (VAA) and anatomical based alignment (ABA). Endoskeletal components were utilized for the study, rather than monolimbs, so that alignment could be experimentally manipulated. Three endoskeletal prostheses were aligned, one according to each á priori method, for each of seven subjects. Gait and alignment data were captured, dynamic alignment was performed to optimize gait, and data were captured again. Results: VAA and TRAD methods required less change compared to ABA in socket flexion angle. Looking at subjects individually, VAA produced a better alignment and better gait for the greatest number of subjects. Conclusions: A new refined method of á priori alignment is proposed based on the results of this study, and is applicable for á priori alignment of monolimbs or any type of transtibial prosthesis.

Original languageEnglish (US)
Pages (from-to)381-388
Number of pages8
JournalDisability and Rehabilitation: Assistive Technology
Issue number5
StatePublished - Sep 2012


  • Alignment methods
  • Developing countries
  • Monolimb
  • Prosthesis

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Orthopedics and Sports Medicine
  • Biomedical Engineering
  • Rehabilitation
  • Speech and Hearing


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