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A Framework for Linking Gait Characteristics of Patients with Accelerations of the Waist
Wark, T.   Karunanithi, M.   Chan, W.  
E-Health Res. Centre, CSIRO ICT Centre, Adelaide, SA;

This paper appears in: Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Publication Date: 17-18 Jan. 2006
On page(s): 7695-7698
Location: Shanghai,
ISBN: 0-7803-8741-4
INSPEC Accession Number: 9154092
Digital Object Identifier: 10.1109/IEMBS.2005.1616295
Current Version Published: 2006-04-10

Abstract
This paper describes a framework for the analysis of accelerometer data as part of research undertaken in preparation for a clinical trial involving ambulatory monitoring of elderly rehabilitation patients. In particular we examine the response of side-mounted accelerometers to various gait patterns and attempt to establish a relationship with a biomechanical model for human gait. We explore the use of a linear predictive (LP) model as a basis for identifying key harmonic frequencies in the accelerometer response signals and use these harmonics to relate measured data back to harmonic predictions from the biomechanical model

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