SAC 2000: Electronic Proceedings

Biomedical Computing Track

Track chair:Donna Mooney, University of Arkansas
The following papers submitted to the Biomedical Computing Track in SAC 2000 are available on-line:
Functions, rules and models: three complementary techniques for analyzing strength data
 
Juan Pedro Caraca-ValenteUniv. Politecnica MAdrid
Ignacio Lopez-ChavarriasUniv. Politecnica MAdrid
Cesar MontesUni. Politecnica MAdrid
Abstract

Isokinetics systems are now a leading technology for assessing muscle strength and diagnosing muscle injuries. These systems are very expensive, for which reason they should be put to the best possible use. However, the computer interfaces that now come with isokinetics systems only provide a simple graphical display of the strength data, that is, do not interpretate the data. This paper presents the first phase of the I4 (Interface for Intelligent Interpretation of Isokinetic Data) project, which output two computer systems: ISODEPOR and ISOCIN. Both applications provide simple and effective interaction with the LIDO Isokinetics Machine, implementing expertise in the assessment of the data through a knowledge representation mechanism that includes functions, rules and isokinetic models. The main difference between the applications is that while ISODEPOR was built for sports physicians, ISOCIN was built for blind physicians, accounting for their specific impairments.

Full paper
EEGSolver - Brain Activity and Genetic Algorithms~Solving Solving the inverse problem in electroencephalography
 
André DavidLaSEEB, ISR, IST Lisboa
Paulo AguiarLaSEEB, ISR, IST Lisboa
Sandra PauloLaSEEB, ISR, IST Lisboa
Agostinho RosaLaSEEB, ISR, IST Lisboa
Abstract

Genetic Algorithms (GAs) are a family of computational models inspired by evolution. This work tries to figure out what contribute could this class of algorithms give in an in-verse problem solving frame: having an electroencephalo-gram (EEG), finding out where the spots of activity in the brain are. Our Brain is a mysterious machine of thoughts. As you read this text, you have billions of neurons working and creating complex, yet specific, electric potential patterns. We think the followed approach, in addition to the existing ad-vanced analysis strategies, can provide an easily matchable piece to the big puzzle.

Full paper
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