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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 1, January 2000
  4. Computerised evaluation of cognitive and motor function
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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
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
Automatic de-noising of knee-joint vibration signals using adaptive time-frequency representations
Characterisation of three-dimensional anatomic shapes using principal components: Application to the proximal tibia
A portable instrument for non-invasive monitoring of beat-by-beat cardiovascular haemodynamic parameters based on the volume-compensation and electrical-admittance method
Classification of breast tissue by electrical impedance spectroscopy
Analysis of thermal properties of wheelchair cushions with thermography
Artifact reduction in electrogastrogram based on empirical mode decomposition method
Detection and analysis of gastrointestinal sounds in normal and small bowel obstructed rats
Prototype algorithm for automated determination of gastric slow wave characteristics
Real-time brain-computer interfacing: A preliminary study using Bayesian learning
Selecting relevant electrode positions for classification tasks based on the electro-encephalogram
Computerised evaluation of cognitive and motor function
Two-point vibrotactile discrimination related to parameters of pulse burst stimulus
Simplified model of laser Doppler signals during reactive hyperaemia
Cardiac vulnerability assessment from electrical microvariability of high-resolution electrocardiogram
Can vortices in the flow across mechanical heart valves contribute to cavitation?
Validation of automated oscillometric sphygmomanometer (HDBPM) for arterial pressure measurement during haemodialysis
Effect of generator nonlinearities on the accuracy of respiratory impedance measurements by forced oscillation
Estimating germinability ofPlasmopara viticola oospores by means of neural networks
Biological-to-electronic interface with pores of ATP synthase subunit C in silicon nitride barrier
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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Computerised evaluation of cognitive and motor function

Content Provider SpringerLink
Author Kisačanin, B. Agarwal, G. C. Taber, J. Hier, D.
Copyright Year 2000
Abstract In this paper, we present a clinical study of computerised tracking in the evaluation of cognitive and motor function. We investigate its use in the assessment of effectiveness of antiepileptic drugs (AEDs) as well as in the process of following the progress of Alzheimer's disease (AD). To simplify the experiments, we introduce real-time adaptation of the target speed. In the study with epileptic patients, three result groups are compared: blood levels of AEDs, scores on standard neuropsychological tests, and scores on computerised tracking and reaction time tests. It is found that the computerised tests are repeatable, reliable and sensitive and may therefore be useful in the evaluation of epilepsy treatment. For example, while the blood levels associated with AEDs lie in the therapeutic range, variations in the optimal speed (OS) between 0.9 and 1.1 (expressed in relative units) are recorded. To significantly simplify the protocol for AD patients while preserving its main features, we introduce signal-processing techniques into the data analysis. Local signal property characteristics for AD are found which indicate that the preview tracking of an AD patient is similar to the non-preview tracking of a healthy control. This result is expected since the working memory, which is involved in movement planning, is impaired in AD. In non-preview tracking, healthy control subjects are mostly in tracking mode 1 and have a mean mode duration of 600 ms. In preview tracking, AD patients are mostly in mode 2 with a mean mode duration of 600 ms.
Starting Page 68
Ending Page 73
Page Count 6
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 38
Issue Number 1
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 Biomedical computing Clinical engineering, Signal analysis Data acquisition Human performance analysis Computerised tracking Epilepsy Alzheimer's disease Working memory model 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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