Evaluation and Error Models of Experimental Data from Laboratory Research of Neurodegenerative Diseases

L. Houdová (Czech Republic)

Keywords

Neurodegenerative diseases, motor and cognitive tests, experimental data evaluation, error analysis, biomedical computing

Abstract

The significant part of biomedical research is engaged in the testing of behavior and organism reaction to different impacts due to animal models. The task of effects on motor and cognitive functions related to neurodegenerative diseases is also solved at the Department of Pathophysiology, Faculty of Medicine in Pilsen, Charles University. Possibilities include the effect of embryonic cerebellum survives transplantation, the impact of forced motor activity or the effects of the chemical compound. The correct interpretation of the results and errors elimination of the experiment is therefore very important. The paper presents commonly used statistical methods for motor and cognitive test evaluation, new possibilities for experimental data evaluation (with minimal and rapid intervention in terms of methods), their comparison and the assesment of the errors associated with the evaluation of experimental data from a motor and cognitive testing.

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