Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
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Conf Proc IEEE Eng Med Biol Soc · Jan 2007
EEG frequency progression during induction of anesthesia: from start of infusion to onset of burst suppression pattern.
The anesthetic infusion with propofol influences EEG activity rather smoothly by changing the amplitude activity in different frequency bands. This results in a frequency progression pattern (FPP) which can be related to the depth of anesthesia. ⋯ The results reveal the underlying FPP and how the onset of the BSP is related to it. The proposed method offers potential for the development of automatic assessment systems for the depth of anesthesia.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2007
Screening device for identification of patients with paroxysmal atrial fibrillation to prevent ischemic strokes.
The most frequently occurring cardiac arrhythmia in the adulthood is atrial fibrillation. In Germany, the number of sick people is estimated at 800,000. Patients who suffer from atrial fibrillation often do not sense any symptoms of the illness. ⋯ These persons must be recognized, because of their increased stroke risk in order to be able to attend it. In this work, the chest strap CorBelt, developed by the company Corscience GmbH&Co. KG, is equipped with an algorithm for the recognition of atrial fibrillation with the aid of heart rate variability.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2007
Clinical TrialModeling anesthetic drugs' pharmacodynamic interaction on the bispectral index of the EEG: the influence of heart rate.
The effect of drugs' interaction on the brain signal Bispectral Index (BIS) is of great importance for an anesthesia control drug infusion system. In this study, the objective was to inspect the influence of patient's heart rate on the effect of the drugs on BIS. With this goal, the patient's heart rate was incorporated in an drug interaction model. ⋯ The results showed that the model with time changing parameters incorporating patient's heart rate has a better performance than a non adjusted model. Three clusters of models were also identified using the fuzzy c-means algorithm. These clusters will help to distinguish between different patients' dynamics.
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The aim of the paper is to inform about the requirements laid on education in the fields of Biomedical Technology and Biomedical Engineering in the connection with legal provisions on non-medical health service occupations in the Czech Republic and its compliance with the working documents on harmonization of biomedical engineering education in Europe (BIOMEDEA project). The legal provisions define completely new position of technical personnel in the health care service system. We show how the legal regulations and European recommendations are reflected in Master study at the Czech Technical University in Prague, Faculty of Electrical Engineering.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2007
Modeling state entropy of the EEG and auditory evoked potentials: hypnotic and analgesic interactions.
Because of the complexity of raw electroencephalogram (EEG), for the anesthesiologist it is very difficult to evaluate the patient's hypnosis state. Because of this, several depth of anesthesia monitors have been developed, and are in current use at the operating room (OR). These monitors convert the information supplied by the EEG or derived signals into a simple, easy to understand index. ⋯ Hypnotic and analgesic drugs interact in different ways throughout the anaesthesia stages. The models obtained captured the different dynamic interaction of drugs, during the induction and maintenance phases, demonstrating that the model must have incorporated all this information in order to perform satisfactorily. Other information like haemodynamic variables might be included in the search for the optimum model.