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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 38
  3. Medical and Biological Engineering and Computing : Volume 38, Issue 5, September 2000
  4. Phase determination during normal running using kinematic 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 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 38, Issue 6, November 2000
Medical and Biological Engineering and Computing : Volume 38, Issue 5, September 2000
Computerised audiovisual event recording for infant apnoea and bradycardia
Hamming clustering techniques for the identification of prognostic indices in patients with advanced head and neck cancer treated with radiation therapy
Boundary modelling and shape analysis methods for classification of mammographic masses
Assessment of neck tissue fibrosis using an ultrasound palpation system: A feasibility study
Phase determination during normal running using kinematic data
In vivo electrical characteristics of human skin, including at biological active points
High-resolution electro-encephalogram: source estimates of Laplacian-transformed somatosensory-evoked potentials using a realistic subject head model constructed from magnetic resonance images
Estimation of surface electromyogram spectral alteration using reduced-order autoregressive model
Dipole location errors in electroencephalogram source analysis due to volume conductor model errors
Estimating normal and pathological dynamic responses in cerebral blood flow velocity to step changes in end-tidal pCO$_{2}$
Sampling rate and the estimation of ensemble variability for repetitive signals
Adaptive vector quantisation for electrocardiogram signal compression using overlapped and linearly shifted codevectors
Complexity measure and complexity rate information based detection of ventricular tachycardia and fibrillation
A new dual activation simulator of the left heart that reproduces physiological and pathological conditions
Thermal—electrical finite element modelling for radio frequency cardiac ablation: Effects of changes in myocardial properties
Continuous estimation of systolic blood pressure using the pulse arrival time and intermittent calibration
Radio frequency perforation of cardiac tissue: Modelling and experimental results
Differentiation of mammalian skeletal muscle cells cultured on microcarrier beads in a rotating cell culture system
Medical and Biological Engineering and Computing : Volume 38, Issue 4, July 2000
Medical and Biological Engineering and Computing : Volume 38, Issue 3, May 2000
Medical and Biological Engineering and Computing : Volume 38, Issue 2, March 2000
Medical and Biological Engineering and Computing : Volume 38, Issue 1, January 2000
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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Phase determination during normal running using kinematic data

Content Provider SpringerLink
Author Hreljac, A. Stergiou, N.
Copyright Year 2000
Abstract Algorithms to predict heelstrike and toe-off times during normal running at subject-selected speeds, using only kinematic data, are presented. To assess the accuracy of these algorithms, results are compared with synchronised force platform recordings from ten subjects performing ten trials each. Using a single 180Hz camera, positioned in the sagittal plane, the average RMS error in predicting heelstrike times is 4.5 ms, whereas the average RMS error in predicting toe-off times is 6.9ms. Average true errors (negative for an early prediction) are +2.4 ms for heelstrike and +2.8ms for toe-off, indicating that systematic errors have not occured. The average RMS error in predicting contact time is 7.5ms, and the average true error in predicting contact time is 0.5ms. Estimations of event times using these simple algorithms compare favourably with other techniques requiring specialised equipment. It is concluded that the proposed algorithms provide an easy and reliable method of determining event times during normal running at a subject selected pace using only kinematic data and can be implemented with any kinematic data-collection system.
Starting Page 503
Ending Page 506
Page Count 4
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 38
Issue Number 5
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2000-01-01
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Running Heelstrike Toe-off Contact time Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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