Počítačové adaptivní testování představuje nový přístup k testování psychologických (i jiných) charakteristik, který umožňuje proces testování zefektivnit a zpřesnit. Základní ideou je administrace pouze takových položek, které jsou pro danou testovanou osobu adekvátní a poskytují tedy v terminologii Teorie odpovědi na položku (IRT – Item Response Theory), která je pro adaptivní testování základním matematickým aparátem, maximum informace. Cílem příspěvku je představení původního software vzniklého na půdě Psychologického ústavu Akademie věd ČR, který implementuje funkce pro interaktivní administraci a výběr adekvátních položek, odhad měřené charakteristiky, a vyhodnocení definované podmínky ukončení testu. V současné době je program schopen bezproblémově pracovat s testy tvořenými dichotomně skórovanými položkami. Software byl pojmenován Computerized Adaptive Testing optimized, ve zkratce CATO™.

• MeSH
• Financing, Organized MeSH
• Humans MeSH
• Computers utilization   MeSH
• Psychological Tests MeSH
• Software MeSH
• Check Tag
• Humans MeSH

• MeSH
• Drug Resistance MeSH
• Neoplasms drug therapy   MeSH
• Therapy, Computer-Assisted MeSH
• Drug Therapy, Computer-Assisted MeSH
• Computing Methodologies MeSH
• Antineoplastic Agents pharmacology   MeSH
• Software MeSH

Vyvinuli jsme zařízení se softwarem umožňující řídit plicní ventilátor (Adult Star TM Infrasonics,USA)a snímat ventilátorem získaná data k dalšímu využití.Lze náhodně měnit dechové objemy při konstantním průtoku,definovat inspirační a exspirační pauzy a snímat tlakové a objemové veličiny z ventilátoru.Tato data lze využít k automatické konstrukci tlakově-objemových křivek. Zařízení bylo testováno na 4 pacientech trpících různými formami těžkého plicního postižení na třech různých hladinách PEEP.Data získaná z ventilátoru jsme porovnali s nezávislými měřeními pomocí tlakových čidel měřících tlak v dýchacím okruhu a ezofageální tlak (Validyne ±100 cmH2O, USA)a přesného průtokoměru –vyhřívaného pneumotachometru měřícího dechový objem (Hans Rudolph,USA)připojenému k diferenciálnímu tlakovému čidlu (Validyne ±2 cmH2O,USA).Data byla získávána a zpracovávána stejným počítačem,který řídil ventilátor. Počítač vybavený A.R.M.softwarem a externí chlopní umožňuje během automatického měření trvajícího cca 1 hodinu získat detailní údaje o statistické plicní mechanice pacienta,bez potřeby pacienta odpojovat od ventilátoru.

We developed software able to control mechanical ventilator (Adult Star TM Infrasonics,USA)via serial port and to simultaneously read data from the ventilator output.This enables to deliver randomly selected test tidal volumes under constant flow conditions with computer controlled expiratory and inspiratory valve holds and to record the volume and respective pressures for automated pressure-volume curve measurements.We tested the software performance in 4 patients suffered by a several lung injury on three different PEEP levels.Data obtained automatically from the ventilator were compared with independent calibrated measuring system consisting of airway and oesophageal pressure transducers (Validyne ±100 cmH2O, USA),and heated pneumotachograph (Hans Rudolph,USA)connected to differential pressure transducer (Validyne ±2 cmH2O,USA).Data were processed and collected into the same computer operating the ventilator and analyzed. A.R.M.software driven ventilator is able to perform static respiratory mechanics measurements without disconnecting the patient from the ventilator in 1 hour intervals.No additional equipment other than ventilator and external computer controlled end expiratory valve is needed.

• MeSH
• Automation methods   instrumentation   statistics & numerical data   MeSH
• Safety MeSH
• Tidal Volume physiology   methods   statistics & numerical data   MeSH
• Adult MeSH
• Research Support as Topic MeSH
• Middle Aged MeSH
• Humans MeSH
• Software methods   statistics & numerical data   MeSH
• Positive-Pressure Respiration methods   instrumentation   statistics & numerical data   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Female MeSH

Úvod. Dynamická scintigrafie ledvin poskytuje užitečné informace o funkci obou ledvin. Nevýhodou systému Ostnucline, který je přizpůsoben potřebám české komunity, je fungování v prostředí Windows 98. Na našem pracovišti jsme měli možnost testovat nový program InterViewXP? pro hodnocení funkce ledvin od firmy Mediso. Cíl. Porovnat ovládání programů a hodnoty kvantitativních parametrů funkce ledvin získané novým a stávajícím programem. Metoda. Soubor zahrnuje 34 neselektovaných pacientů (13 mužů a 21 žen) průměrného věku 53 (21-89) let, vyšetřených na našem pracovišti dynamickou scintigrafii ledvin z různých indikací. Vyšetření byla provedena na gamakameře MB9200, jako radiofarmakum jsme použili 99mTc MAG3. Data byla snímána standardním způsobem, byla hodnocena programy systémů Ostnucline a InterViewXP?. Kvantitativní parametry jsme porovnali pomocí párového t-testu. Hladina významnosti byla 5%. Výsledky. Ovládání programů je velmi podobné, velkou výhodou InterViewXP? je možnost korekce pohybu pacienta ve dvou rovinách. To je výhodné zejména při vyšetření dětí. Hodnoty ERPF, stranového podílu a clearance se lišily minimálně (p = 0,888-0,999), časové hodnoty měly rozptyl několika minut (p = 0, 304-0,737). Hodnoty všech sledovaných parametrů neměly statisticky významné odchylky. Závěr. Námi testovaný program pro hodnocení funkce ledvin dává prakticky totožné výsledky jako stávající. Může tedy sloužit jako jeho plnohodnotná náhrada. Výhodou je navíc možnost korekce pohybu pacienta při vyšetření.

Introduction. Dynamic renal scintigraphy is a useful tool to evaluate kidney function. Software Ostnucline mostly used in the Czech Republic runs however under Windows 98. We had an opportunity to test new software InterViewXP? from Mediso. Aim. To compare an operation of both softwares and values of quantitative parameters calculated by both softwares. Method. We evaluated 34 non-selected patients (13 male, 21 female), average age 53 (21-89) years send to our department for dynamic kidney scintigraphy. Method was performed with a gamma camera MB9200, Tc-99m MAG3 was used as a radiopharmaceutical. Data were processed with both softwares, quantitative parameters were compared with t-test, and level of significance was 5%. Results. Operation of both softwares is very similar; the main advantage of Inter-ViewXP? is a possibility to correct for patient motion in two planes. Values of ERPF, separate function and clearance did not differ significantly (p = 0,888-0,999), time intervals differ in the range of minutes (p = 0,304-0, 737). All evaluated parameters did not differ significantly. Conclusion. New software InterViewXP? for dynamic renal scan provides almost identical values as presently used software Ostnucline. It can, therefore, substitute its use. Its main advantage is a possibility to provide motion correction.

• Keywords
• srovnání,
• MeSH
• Diagnostic Imaging methods   trends   utilization   MeSH
• Gamma Cameras MeSH
• Humans MeSH
• Urinary Tract physiopathology   MeSH
• Kidney Diseases diagnosis   MeSH
• Radionuclide Imaging methods   utilization   MeSH
• Hypertension, Renal diagnosis   MeSH
• Software trends   MeSH
• Statistics as Topic MeSH
• Technetium Tc 99m Mertiatide diagnostic use   MeSH
• Renal Tubular Transport, Inborn Errors diagnosis   MeSH
• Kidney Function Tests methods   utilization   MeSH
• Outcome and Process Assessment, Health Care MeSH
• Check Tag
• Humans MeSH

Zámerom štúdie bolo empiricky overiť reliabilitu autorského fotogrametrického softwaru na meranie uhlov v rôznych polohách kĺbu a porovnať ju s reliabilitou goniometra štandardne využívaného vo fyzioterapeutickej praxi pri diagnostike rozsahu pohybu v kĺbe. Pilotný komparačný výskumu bol realizovaný na vzorke 27 probantov (študentov fyzioterapie), pričom boli merané uhly v troch kĺboch pomocou softwaru aj goniometra. Opakované meranie uhlu v jednom kĺbe realizovalo 20 probantov s časovým odstupom 2 týždňov od prvého merania. Oba overované aspekty reliability – interrater aj intrarater – sa na základe štatistických ukazovateľov (priemerné odchýlky merania, korelačné koeficienty zhody meraní v čase) javia byť vyššie pri meraní pomocou fotogrametrického softwaru v porovnaní s goniometrom. Klúčové slová: fyzioterapeutická diagnostika, meranie uhlov, rozsah pohybu v kĺbe, fotogrametrický software, goniometer, reliabilita

The aim of the study was to empirically verify the reliability of authors´ photogrammetric software for measuring the angles in various joint positions and to compare it with the reliability of the goniometer standardly used in physiotherapy practice for the diagnostics of range of joint motion. The pilot comparative research was conducted on the sample of 27 probands (physiotherapy students) and the angles were measured in three joints using both the goniometer and the software. Repeated measuring the angle in one joint was realized by 20 probands after two weeks from the first measurement. Both verified aspects of reliability – interrater and intrarater – appear to be higher (based on statistical indicators average deviations and correlation coefficients) when the photogrammetric software was used compared to the using of goniometer.

• Keywords
• fyzioterapeutická diagnostika, fotogrametrický software,
• MeSH
• Photography * MeSH
• Arthrometry, Articular * methods   statistics & numerical data   MeSH
• Knee Joint MeSH
• Humans MeSH
• Elbow Joint MeSH
• Pilot Projects MeSH
• Reproducibility of Results MeSH
• Range of Motion, Articular * MeSH
• Software MeSH
• Software Validation * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Evaluation Study MeSH
• Comparative Study MeSH

Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.

• MeSH
• Algorithms MeSH
• Microscopy, Fluorescence * MeSH
• HeLa Cells MeSH
• Humans MeSH
• Image Processing, Computer-Assisted methods   MeSH
• Software * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

• MeSH
• Early Detection of Cancer * methods   MeSH
• Early Diagnosis * MeSH
• Clinical Laboratory Information Systems * MeSH
• Decision Making, Computer-Assisted MeSH
• Software MeSH

Nowadays, cardiovascular diseases represent the most common cause of death in western countries. Among various examination techniques, electrocardiography (ECG) is still a highly valuable tool used for the diagnosis of many cardiovascular disorders. In order to diagnose a person based on ECG, cardiologists can use automatic diagnostic algorithms. Research in this area is still necessary. In order to compare various algorithms correctly, it is necessary to test them on standard annotated databases, such as the Common Standards for Quantitative Electrocardiography (CSE) database. According to Scopus, the CSE database is the second most cited standard database. There were two main objectives in this work. First, new diagnoses were added to the CSE database, which extended its original annotations. Second, new recommendations for diagnostic software quality estimation were established. The ECG recordings were diagnosed by five new cardiologists independently, and in total, 59 different diagnoses were found. Such a large number of diagnoses is unique, even in terms of standard databases. Based on the cardiologists' diagnoses, a four-round consensus (4R consensus) was established. Such a 4R consensus means a correct final diagnosis, which should ideally be the output of any tested classification software. The accuracy of the cardiologists' diagnoses compared with the 4R consensus was the basis for the establishment of accuracy recommendations. The accuracy was determined in terms of sensitivity = 79.20-86.81%, positive predictive value = 79.10-87.11%, and the Jaccard coefficient = 72.21-81.14%, respectively. Within these ranges, the accuracy of the software is comparable with the accuracy of cardiologists. The accuracy quantification of the correct classification is unique. Diagnostic software developers can objectively evaluate the success of their algorithm and promote its further development. The annotations and recommendations proposed in this work will allow for faster development and testing of classification software. As a result, this might facilitate cardiologists' work and lead to faster diagnoses and earlier treatment.

• MeSH
• Databases, Factual standards   MeSH
• Diagnosis, Computer-Assisted standards   MeSH
• Electrocardiography standards   MeSH
• Cardiovascular Diseases diagnosis   MeSH
• Humans MeSH
• Reproducibility of Results MeSH
• Sensitivity and Specificity MeSH
• Practice Guidelines as Topic * MeSH
• Software Validation * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

Detailed records are an integral part of managing the training process. A number of theoretical and practical complications are encountered in the selection of appropriate parameters and the flawless processing of training data. The use of information technology to record and analyze training offers a significant simplification of this complicated process. In the text we define key general and special indicators for training for multi-endurance sports, which are summarized in a theoretical model. On the basis of that model we developed a specialized software application for the processing, recording and analysis of training for multi-endurance sports, which was then verified in a pilot test. The application allows the user to work with the data entered to structure training for multi-endurance sports.

• MeSH
• Exercise physiology   psychology   MeSH
• Curriculum MeSH
• Humans MeSH
• Pilot Projects MeSH
• Computers utilization   MeSH
• Software MeSH
• Sports physiology   psychology   education   MeSH
• Statistics as Topic MeSH
• Models, Theoretical MeSH
• Check Tag
• Humans MeSH

Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly.

• MeSH
• In Situ Hybridization MeSH
• Immunohistochemistry MeSH
• Muscle Fibers, Skeletal cytology   classification   MeSH
• Rats MeSH
• Humans MeSH
• Masseter Muscle cytology   MeSH
• Myosins genetics   metabolism   MeSH
• Image Processing, Computer-Assisted methods   MeSH
• Protein Isoforms genetics   metabolism   MeSH
• Reproducibility of Results MeSH
• Software MeSH
• Myosin Heavy Chains genetics   metabolism   MeSH
• User-Computer Interface MeSH
• Animals MeSH
• Check Tag
• Rats MeSH
• Humans MeSH
• Animals MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH