NDLI: Load-Relief of Walking Aids on Osseointegrated Fixation: Instrument for Evidence-Based Practice

Content Provider	IEEE Xplore Digital Library
Author	Frossard, L. Hagberg, K. Haggstrom, E. Branemark, R.
Copyright Year	2001
Abstract	Clinicians are currently in demand of tools enabling individual assessment during their daily practice of load-relief of walking aids. The first aim of this article is to describe a portable kinetic system that could be used to measure directly the true load applied on the residuum during assisted walking. The second aim is to present the information that can be derived from the raw loading data. The third aim is to provide an example for a participant. One active transfemoral amputee fitted with an osseointegrated fixation was asked to walk in straight level line with no aid, one stick, one and two elbow crutches on a 20 m walkway. The load-relief was measured using a six-channel transducer and recorded using a data logger. The overall loading was decreased by 2% using one stick, 5% using one crutch and by 10% using two crutches. This study presents a method that can be used by clinicians facing the challenge of prescribing and assessing walking aids to restore the locomotion of lower limb amputees in the framework of an evidence-based practice.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	6
File Size	654354
Starting Page	9
Ending Page	14
File Format	PDF
ISSN	15344320
Volume Number	17
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Instruments Technological innovation Kinetic theory Australia Council Systems engineering and theory Hospitals Prosthetics Kinematics Biomedical measurements walking aids Gait kinetics osseointegration transfemoral amputation
Content Type	Text
Resource Type	Article
Subject	Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications

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