Balázs Benyó

A common periodic table of codons and amino acids.

A periodic table of codons has been designed where the codons are in regular locations. The table has four fields (16 places in each) one with each of the four nucleotides (A, U, G, C) in the central codon position. Thus, AAA (lysine), UUU (phenylalanine), GGG (glycine), and CCC (proline) were placed into the corners of the fields as the main codons (and amino acids) of the fields. They were connected to each other by six axes. The resulting nucleic acid periodic table showed perfect axial symmetry for codons. The corresponding amino acid table also displaced periodicity regarding the biochemical properties (charge and hydropathy) of the 20 amino acids and the position of the stop signals. The table emphasizes the importance of the central nucleotide in the codons and predicts that purines control the charge while pyrimidines determine the polarity of the amino acids. This prediction was experimentally tested.

Biomedical engineering education in Hungary

In medical-biological research, the need for an exact mathematical method is being felt more and more. The Biomedical Engineering Education Programme (BMEEP) in Hungary includes all theoretical processes allowing one to describe the behaviour of a biological system by means of a mathematical model. This paper first deals with the objectives of biomedical engineering training (general principles, etc.); then the BMEEP curriculum is discussed.

Characterization of the temporal pattern of cerebral blood flow oscillations

Oscillation of the cerebral blood flow (CBF) is a common feature in several physiological or pathophysiological states of the brain. It is a promising opportunity to identify the state of the brain based on the classification of CBF signals. In order to carry out classification of the time signals, a feature vector has been extracted to characterize the signals. Unsupervised classification showed that the extracted feature vector is an acceptable representation of the time signals. It also turned out that the difference between normal signal and a signal indicating drug injection effect is significant, and much more dominant than the difference between signals of the right and left brain sides. For the signal classification an artificial neural network (ANN) model based on supervised backpropagation network has been developed and successfully applied.

Characterization of cerebral blood flow oscillations using different classification methods

Abstract Oscillation of the cerebral blood flow (CBF) is a common feature in several physiological or pathophysiological states of the brain. It is a promising opportunity to identify the disorders of the cerebral circulation based on the classification of CBF signals. Three classification models are developed with different heuristic in order to carry out the systematic classification based on a problem specific feature extraction. The efficiency of the selected classification methods are evaluated and compared.

Biomedical engineering education and research activity in Hungary

Biomedical Engineering is a relatively new interdisciplinary science. This paper presents the biomedical engineering activity, which is carried out at Budapest University of Technology and Economics and its partner institutes. In the first part the main goals and the curriculum of the Biomedical Engineering Education Program (BMEEP) is presented. The second part of the paper summarizes the most important biomedical engineering researches carried out mostly in the Biomedical Engineering Laboratory of our university.

Identification of the physiological system

According to preliminary information on the physiological system, two extreme cases of identification may be distinguished. If the structure is known it is a case of parameter assessment. If the structure of the mathematical model is unknown it is a case of a real identification problem. In our case the diagnostic tests define the model structure, hence evaluation of measurement results simplifies to parameter assessment. This paper focuses on the parameter assessment of the evaluation of liver flow tests by colloid 198 Au and a new event recognition method.