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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 45
  3. Medical and Biological Engineering and Computing : Volume 45, Issue 7, July 2007
  4. Nonlinear analysis of posturographic data
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 45, Issue 12, December 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 11, November 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 10, October 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 9, September 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 8, August 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 7, July 2007
Design of electrodes and current limits for low frequency electrical impedance tomography of the brain
Evaluating the relationship of non-phase locked activities in the electroencephalogram during intermittent stimulation: a partial coherence-based approach
A simple method for calculating the depth of EEG sources using minimum norm estimates (MNE)
Physiological quality assessment of stored whole blood by means of electrical measurements
A novel simulation algorithm for soft tissue compression
Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy
Nonlinear analysis of posturographic data
The differential diagnosis of vertical strabismus from prism cover test data using an artificially intelligent expert system
Implantable stimulator featuring multiple programs, adjustable stimulation amplitude and bi-directional communication for implantation in mice
Exact computations for the coherence estimate
Computer modelling of the sinoatrial node ( Medical and Biological Engineering and Computing , Volume 45 , Issue 7 )
Medical and Biological Engineering and Computing : Volume 45, Issue 6, June 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 5, May 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 4, April 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 3, March 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 2, February 2007
Medical and Biological Engineering and Computing : Volume 45, Issue 1, January 2007
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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Nonlinear analysis of posturographic data

Content Provider SpringerLink
Author Ladislao, Luigi Fioretti, Sandro
Copyright Year 2007
Abstract The aim of this work is to determine whether postural sway can be well described by nonlinear deterministic modelling. Since the results of nonlinear analysis depend on experimental data processing, emphasis was given to the assessment of a proper methodology to process posturographic data. Centre of Pressure (CoP) anterior-posterior (AP) displacements (stabilogram) were obtained by static posturography tests performed on control subjects. A nonlinear determinism test was applied to investigate the nature of data. A nonlinear filtering method allowed us to estimate properly the parameters of the nonlinear model without altering signal dynamics. The largest Lyapunov exponent (LLE) was estimated to quantify the chaotic behaviour of postural sway. LLE values were found to be positive although close to zero. This suggests that postural sway derives from a process exhibiting weakly chaotic dynamics.
Starting Page 679
Ending Page 688
Page Count 10
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 45
Issue Number 7
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2007-07-05
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Static posturography Nonlinear signal analysis Chaos Largest Lyapunov exponent Neurosciences Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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