Visualisation of Clinical Gait Data Using a Self-Organising Artificial Neural Network

Visualisation of Clinical Gait Data Using a Self-Organising Artificial Neural Network

Gabor J. Barton (Liverpoool John Moores University, UK)
DOI: 10.4018/978-1-59140-836-9.ch006
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Abstract

The decision-making performance of gait experts varies depending on their background, training and experience. They have to analyse large quantities of complex gait data and this gives rise to an unbalanced use of the available information. These limitations inevitably lead to a biased interpretation. In this study, self-organising artificial neural networks were used to reduce the complexity of joint kinematic and kinetic data which form part of a typical instrumented gait assessment. Three dimensional joint angles, moments and powers during the gait cycle were projected from the multi-dimensional data space onto a topological neural map which thereby identified gait stem-patterns. Patients were positioned on the map in relation to each other and this enabled them to be compared on the basis of their gait patterns. The visualisation of large amounts of complex data in a two-dimensional map labelled with gait patterns is an enabling step towards more objective analysis protocols which will better inform decision making.

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Table of Contents
Preface
Rezaul Begg, Marimuthu Palaniswami
Acknowledgments
Chapter 1
Russell Best, Rezaul Begg
This chapter provides an overview of the commonly used motion analysis approaches and techniques and the key features that are extracted from... Sample PDF
Overview of Movement Analysis and Gait Features
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Chapter 2
Angelo M. Sabatini
Sensing approaches for ambulatory monitoring of human motion are necessary in order to objectively determine a person’s level of functional ability... Sample PDF
Inertial Sensing in Biomechanics: A Survey of Computational Techniques Bridging Motion Analysis and Personal Navigation
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Chapter 3
Kamiar Aminian
In this chapter, first we outline the advantage of new technologies based on body-fixed sensors and particularly the possibility to perform field... Sample PDF
Monitoring Human Movement with Body-Fixed Sensors and its Clinical Applications
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Chapter 4
Bharat Sundaram, Marimuthu Palaniswani, Alistair Shilton, Rezaul Begg
Computational intelligence (CI) encompasses approaches primarily based on artificial neural networks, fuzzy logic rules, evolutionary algorithms... Sample PDF
Computational Intelligence Techniques
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Chapter 5
Stephen D. Prentice, Aftab E. Patla
Modelling the control of locomotor movements can take place at many different levels and represent gaits of different animal species. In many cases... Sample PDF
Modelling of Some Aspects of Skilled Locomotor Behaviour Using Artificial Neural Networks
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Chapter 6
Gabor J. Barton
The decision-making performance of gait experts varies depending on their background, training and experience. They have to analyse large quantities... Sample PDF
Visualisation of Clinical Gait Data Using a Self-Organising Artificial Neural Network
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Chapter 7
Michael E. Hahn, Arthur M. Farley, Li-Shan Chou
Gait patterns of the elderly are often adjusted to accommodate for reduced function in the balance control system. Recent work has demonstrated the... Sample PDF
Neural Network Models for Estimation of Balance Control, Detection of Imbalance, and Estimation of Falls Risk
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Chapter 8
Rezaul Begg, Marimuthu Palaniswami
Automated gait pattern recognition capability has many advantages. For example, it can be used for the detection of at-risk or faulty gait, or for... Sample PDF
Recognition of Gait Patterns Using Support Vector Machines
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Chapter 9
Rahman Davoodi, Gerald E. Loeb
Movement disabilities due to spinal cord injury (SCI) are usually incomplete, leaving the patients with partially functioning movement system. As a... Sample PDF
Control of Man-Machine FES Systems
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Chapter 10
Rahman Davoodi, Gerald E. Loeb
A movement rehabilitation therapist must first diagnose the cause of disability and then prescribe therapies that specifically target the... Sample PDF
Evolutionary Methods for Analysis of Human Movement
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Chapter 11
Jürgen Perl, Peter Dauscher
Behavioural processes like those in sports, motor activities or rehabilitation are often the object of optimization methods. Such processes are... Sample PDF
Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks
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Chapter 12
Daniel N. Bassett, Joseph D. Gardinier, Kurt T. Manal, Thomas S. Buchanan
This chapter describes a biomechanical model of the forces about the ankle joint applicable to both unimpaired and neurologically impaired subjects.... Sample PDF
Estimation of Muscle Forces About the Ankle During Gait in Healthy and Neurologically Impaired Subjects
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Chapter 13
David C. Ackland, Cheryl J. Goodwin, Marcus G. Pandy
The objectives of this chapter are as follows. First, a background in anatomy and biomechanics of the shoulder complex is presented to provide a... Sample PDF
Computational Modelling in Shoulder Biometrics
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About the Authors