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Engineering tissue tubes using novel multilayered scaffolds in the rat peritoneal cavity

Authors
Publisher
John Wiley and Sons, Inc.
Publication Date
Keywords
  • 090300 Biomedical Engineering
  • Polylactic Acid
  • Scaffold
  • Surface Modification
  • Vascular Grafts
  • Peritoneal Cavity
Disciplines
  • Engineering

Abstract

Microsoft Word - 2551.doc Classification of Daily Activities of Transfemoral Amputees for Evidence-Based Practice L. Frossard1,2, N. Stevenson1, J. Smeathers3,2 1 School of Engineering Systems - QUT, 2 Institute for Health & Bioscience Innovation - QUT, 3 School of Human Movement Studies - QUT Background and Purpose Classifying transfemoral amputees according to their true functional level is essential for the evidence-based practice of engineers and clinicians. So far, this classification is only based on ambulatory predictive tools (1) or crude count of steps (2) (Fig 1). Purpose The study presents a conceptual framework for a signal-based classification of the daily usage of a transfemoral amputee prosthesis using direct measurement of the load applied on the residuum. Fig 1. Conventional and innovative approaches assessing the true usage of the prosthesis of transfemoral amputees. Methods One transfemoral amputee fitted with an osseointegrated implant participated in this study. The load regime was measured using load sensor fitted at the distal end of the residuum. Signal was recorded at the sampling frequency of 10 Hz during 5 hours of daily activities using a data logger (Fig 2). The signal was split into four categories of activity including inactivity, stationary loading, confined ambulation and directional locomotion using a customized Matlab program (Fig 3). Results and Conclusion The directional locomotion, confined ambulation, stationary. loading and inactivity represented 51%, 25%, 14% and 10% Fig 2. Setup of the prosthetic leg including load sensor (A), adaptors (B), Rotasafe (C), abutment (D), knee (E), data logger (F) and serial cable (G). T(AP, ML, L) represents the referential of the load sensor. Fig 3. Sample of two minutes of recording illustrating the four categories of activity including inactivity (IN), directional locomotion (DL), confine ambulation (LL) and stationary loading (SL)

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