- MeSH
- Automation methods instrumentation MeSH
- Adult MeSH
- Humans MeSH
- Root Canal Preparation * methods nursing instrumentation MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Publication type
- Case Reports MeSH
- MeSH
- Automation methods MeSH
- Medical Informatics methods trends MeSH
- Humans MeSH
- Awards and Prizes MeSH
- Lung diagnostic imaging MeSH
- Radiology * trends MeSH
- Software trends MeSH
- Artificial Intelligence * trends MeSH
- Check Tag
- Humans MeSH
- Publication type
- Newspaper Article MeSH
- Geographicals
- Czech Republic MeSH
Accurate detection of cardiac pathological events is an important part of electrocardiogram (ECG) evaluation and subsequent correct treatment of the patient. The paper introduces the results of a complex study, where various aspects of automatic classification of various heartbeat types have been addressed. Particularly, non-ischemic, ischemic (of two different grades) and subsequent ventricular premature beats were classified in this combination for the first time. ECGs recorded in rabbit isolated hearts under non-ischemic and ischemic conditions were used for analysis. Various morphological and spectral features (both commonly used and newly proposed) as well as classification models were tested on the same data set. It was found that: a) morphological features are generally more suitable than spectral ones; b) successful results (accuracy up to 98.3% and 96.2% for morphological and spectral features, respectively) can be achieved using features calculated without time-consuming delineation of QRS-T segment; c) use of reduced number of features (3 to 14 features) for model training allows achieving similar or even better performance as compared to the whole feature sets (10 to 29 features); d) k-nearest neighbours and support vector machine seem to be the most appropriate models (accuracy up to 98.6% and 93.5%, respectively).
- MeSH
- Data Analysis MeSH
- Automation methods MeSH
- Electrocardiography methods MeSH
- Rabbits MeSH
- Heart Diseases diagnosis MeSH
- Animals MeSH
- Check Tag
- Rabbits MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
A novel flow-programming setup based on the sequential injection principle is herein proposed for on-line monitoring of temporal events in cell permeation studies. The permeation unit consists of a Franz cell with its basolateral compartment mixed under mechanical agitation and thermostated at 37 °C. The apical compartment is replaced by commercially available Transwell inserts with a precultivated cell monolayer. The transport of drug substances across epithelial cells genetically modified with the P-glycoprotein membrane transporter (MDCKII-MDR1) is monitored on-line using rhodamine 123 as a fluorescent marker. The permeation kinetics of the marker is obtained in a fully automated mode by sampling minute volumes of solution from the basolateral compartment in short intervals (10 min) up to 4 h. The effect of a P-glycoprotein transporter inhibitor, verapamil as a model drug, on the efficiency of the marker transport across the cell monolayer is thoroughly investigated. The analytical features of the proposed flow method for cell permeation studies in real time are critically compared against conventional batch-wise procedures and microfluidic devices.
- MeSH
- Automation methods MeSH
- Biological Transport MeSH
- Epithelial Cells chemistry metabolism MeSH
- Kinetics MeSH
- Humans MeSH
- ATP Binding Cassette Transporter, Subfamily B, Member 1 metabolism MeSH
- Flow Injection Analysis instrumentation methods MeSH
- Rhodamine 123 chemistry metabolism MeSH
- Verapamil chemistry metabolism MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
Krevní tlak je jedním z nejdůležitějších vitálních parametrů sledovaných u nemocných v anesteziologii a intenzivní péči. Jeho automatické monitorování je prováděno buď intermitentně pomocí oscilometrie, nebo kontinuálně přímým měřením napojením na tepenné řečiště. Tento článek se zabývá problematikou současných možností monitorování krevního tlaku novými technologiemi, které umožňují kontinuální sledování bez nutnosti arteriální kanylace. Hlavním zaměřením jsou přístroje na principu volume clamp a aplanační tonometrie, které v současné době dosahují nejlepších výsledků v porovnání s přímým měřením. Tato nová zařízení by mohla po odstranění stávajících nedostatků významně zvýšit kvalitu péče a bezpečnost pacientů.
Blood pressure is one of the most important parameters monitored in anaesthesia and intensive care medicine. Two possibilities of automatic blood pressure monitoring are at hand in contemporary practice: intermittent measurements obtained via an oscillometric cuff or continuous monitoring based on arterial catheterisation. In recent years novel technologies have been developed enabling continuous non-invasive monitoring of blood pressure. This review article describes the two most developed of these technologies: the volume clamp method and appalanation tonometry. Devices based on these principles might in near future help to significantly improve patients’ safety and quality of care.
- MeSH
- Radial Artery physiology MeSH
- Arterial Pressure physiology MeSH
- Automation methods instrumentation MeSH
- Humans MeSH
- Manometry methods instrumentation MeSH
- Blood Pressure Determination * methods instrumentation MeSH
- Monitoring, Physiologic * methods instrumentation MeSH
- Blood Pressure Monitors * MeSH
- Signal Processing, Computer-Assisted MeSH
- Fingers physiology blood supply MeSH
- Reproducibility of Results MeSH
- Statistics as Topic MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Keywords
- umělý sval,
- MeSH
- Automation methods MeSH
- Electronics, Medical methods MeSH
- Humans MeSH
- Rehabilitation * methods instrumentation MeSH
- Robotics * utilization MeSH
- Aged MeSH
- Physical Therapy Modalities * instrumentation utilization MeSH
- Check Tag
- Humans MeSH
- Aged MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
This article presents a method that allows for reliable automated image acquisition of specimens with high information content in light microscopy with emphasis on fluorescence microscopy applications. Automated microscopy typically relies on autofocusing used for the analysis of information content behaviour along the z-axis within each field of view. However, in the case of a field of view containing more objects that do not lie precisely in one z-plane, traditional autofocusing methods fail due to their principle of operation. We avoid this issue by reducing the original problem to a set of simple and performable tasks: we divide the field of view into a small number of tiles and process each of them individually. The obtained results enable discovering z-planes with rich information content that remain hidden during global analysis of the whole field of view. Our approach therefore outperforms other acquisition methods including the manual one. A large part of the contribution is oriented towards practical application.
[Where is the automated external defibrillator?]
- Keywords
- označení, defibrilace,
- MeSH
- Automation methods standards instrumentation MeSH
- Time Factors MeSH
- Defibrillators utilization supply & distribution MeSH
- Electric Countershock methods instrumentation utilization MeSH
- Financing, Organized MeSH
- Cardiopulmonary Resuscitation methods utilization MeSH
- Aircraft instrumentation MeSH
- Humans MeSH
- Heart Arrest therapy MeSH
- Emergency Medical Services methods utilization MeSH
- Equipment and Supplies standards MeSH
- Check Tag
- Humans MeSH
