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This paper summarizes the results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three diseases with high public health impact diabetes (the question of artificial...
Robust servo control of a model‐based biomedical application is presented in the article. The glucose–insulin control of type 1 diabetic patients is considered to be solved using the results of post‐modern robust control principles.
The paper uses a recently published glucose–insulin model and presents the transformation of the model to describe the dynamics of type 1 diabetes mellitus. The nonlinear...
The human blood glucose system is one of the most important systems of the human body, as energy transport is fulfilled through this complex endocrine control process. Because of its great importance, many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently which is capable of describing the normal blood glucose...
The case study presents modern robust control methods of the Bergman minimal model of Type I diabetic patients under intensive care using computer algebra: the disturbance rejection LQ control or minimax control (as extension of the classical LQ control) and the robust H?? control. It is shown the minimax control has limitations in practice, but employing reduced Gro??bner basis on rational field,...
The primary aim of computer-integrated surgical systems is to provide physicians with superior surgical tools for better patient outcome. Robotic technology is capable of both minimally invasive surgery and microsurgery, offering remarkable advantages for the surgeon and the patient. Current systems allow for sub-millimeter intraoperative spatial positioning, however certain limitations still remain...
In order to improve the accuracy, robustness, and computational load of c-means clustering models, a series of hybrid solutions have been proposed. Mixtures of fuzzy (FCM) and possibilistic c-means (PCM) clustering generally attempted to avoid the noise sensitivity of the former and the coincident clusters of the latter. On the other hand, mixtures of fuzzy and hard c-means (HCM) have been proposed...
This paper presents a patient specific deformable heart model that involves the known electric and mechanic properties of the cardiac cells and tissue. The accuracy and efficiency of the algorithm was tested for anisotropic and inhomogeneous 3D domains using ten Tusscher's and Nygen's cardiac cell models. During propagation of depolarization wave, the kinetic, compositional and rotational anisotropy...
Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for MR image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedded into clustering algorithms. This paper proposes a hybrid C-means clustering approach to replace the FCM algorithm found in several...
The blood glucose system is one of the most important systems of the human body, since energy transport is fulfilled through this complex endocrine control process. Because of its great importance (in case of failure, its primary consequence diabetes mellitus appears), many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published...
Robots have been introduced to the operating room primarily to provide higher accuracy and dexterity. Mechatronic devices can support surgeons with advanced targeting, visualization and task execution with a precision beyond the human skills. To evaluate a system, accuracy tests are required, and proper methodology should be applied to describe its properties. It is crucial in interventional medicine...
The biomedical analysis of the infant cry is aimed to find connections between several diseases during infancy and their influence on the human sound production system. A new, non-invasive diagnostic tool could be created, if these connections were fully discovered. Various reports have already dealt with the analysis of the crying sound for physiological, psychic, physical, developmental, etc. reasons...
Many articles dealing with insulin-glucose control have been published in the last decades, and they mostly assumed that all the system state variables are available for feedback. However, this is not usually the case, or they are not so cheap in practice as blood glucose measurements are. In this paper the use of the reduced-order estimator (also known as the Luenberger observer) is considered in...
A new approach is proposed in the paper for unknown glucose inlet estimation in case of diabetic patients under insensitive care in form of a Linear Parameter Varying (LPV) model class. The nonlinear two compartment glucose-insulin system is rewritten in affine parameter varying form in order to handle the dynamics with LPV Fault Detection and Isolation (FDI) method. The aim of the closed-loop fault...
This paper presents an analysis of the Arruda accessory pathway localization method (for patients suffering from Wolff-Parkinson-White syndrome) with suggestions to increase the overall performance. The Arruda method was tested on a total of 121 patients, and a 90% localization performance was reached. This was considered almost as performing result as the highest published (90%) by L. Boersma in...
A robust control design on frequency domain using Mathematica is presented for regularization of glucose level in type I diabetes persons under intensive care. The method originally proposed under Mathematica by Helton and Merino, now with an improved disturbance rejection constraint inequality - is employed, using a three-state minimal patient model. The robustness of the resulted high-order linear...
Computer-aided bedside patient monitoring requires real-time analysis of vital functions. On-line Holter monitors need reliable and quick algorithms to perform all the necessary signal processing tasks. This paper presents the methods that were conceptualized and implemented at the development of such a monitoring system at Medical Clinic No. 4 of Targu-Mures. The system performs the following ECG...
A new approach is proposed in the paper for unknown glucose inlet estimation in case of diabetic patients under insensitive care in form of a linear parameter varying (LPV) model class. The nonlinear two compartment glucose-insulin system is rewritten in affine parameter varying form in order to handle the dynamics with LPV fault detection and isolation (FDI) method. The aim of the closed-loop fault...
This paper presents a new way to solve the inverse problem of electrocardiography in terms of heart model parameters. The developed event estimation and recognition method is based on an optimization system of heart model parameters. An ANN-based preliminary ECG analyzer system has been created to reduce the searching space of the optimization algorithm. The optimal model parameters were determined...
This paper presents a new QRS complex detection algorithm that can be applied in various on-line ECG processing systems. The algorithm is performed in two steps: first a wavelet transform filtering is applied to the signal, then QRS complex localization is performed using a maximum detection and peak classification algorithm. The algorithm has been tested in two phases. First the QRS detection in...
The theory of "codon-amino acid coevolution" was first proposed by Woese in 1967. It suggests that there is a stereochemical matching - that is, affinity - between amino acids and certain of the base triplet sequences that code for those amino acids. We have constructed a common periodic table of codons and amino acids, where the nucleic acid table showed perfect axial symmetry for codons...
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