LabVIEW
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This article gives basic overview of the USS protocol as a communication interface to drive Siemens frequency inverters. It presents our implementation of this protocol into LabVIEW, as there was permanent demand from the community of the users to have native LabVIEW implementation of the USS protocol. It also states encountered problems and their solutions.
- MeSH
- elektřina MeSH
- software MeSH
- zdravotnické prostředky MeSH
- Publikační typ
- časopisecké články MeSH
This paper describes the design, construction, and testing of a multi-channel fetal electrocardiogram (fECG) signal generator based on LabVIEW. Special attention is paid to the fetal heart development in relation to the fetus' anatomy, physiology, and pathology. The non-invasive signal generator enables many parameters to be set, including fetal heart rate (FHR), maternal heart rate (MHR), gestational age (GA), fECG interferences (biological and technical artifacts), as well as other fECG signal characteristics. Furthermore, based on the change in the FHR and in the T wave-to-QRS complex ratio (T/QRS), the generator enables manifestations of hypoxic states (hypoxemia, hypoxia, and asphyxia) to be monitored while complying with clinical recommendations for classifications in cardiotocography (CTG) and fECG ST segment analysis (STAN). The generator can also produce synthetic signals with defined properties for 6 input leads (4 abdominal and 2 thoracic). Such signals are well suited to the testing of new and existing methods of fECG processing and are effective in suppressing maternal ECG while non-invasively monitoring abdominal fECG. They may also contribute to the development of a new diagnostic method, which may be referred to as non-invasive trans-abdominal CTG + STAN. The functional prototype is based on virtual instrumentation using the LabVIEW developmental environment and its associated data acquisition measurement cards (DAQmx). The generator also makes it possible to create synthetic signals and measure actual fetal and maternal ECGs by means of bioelectrodes.
- MeSH
- algoritmy * MeSH
- břicho fyziologie MeSH
- elektrokardiografie metody MeSH
- gestační stáří MeSH
- kardiotokografie MeSH
- lidé MeSH
- monitorování plodu metody MeSH
- nelineární dynamika MeSH
- plod fyziologie MeSH
- počítačové zpracování signálu * MeSH
- srdce fyziologie MeSH
- srdeční frekvence plodu fyziologie MeSH
- těhotenství MeSH
- Check Tag
- lidé MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Závěrečná zpráva o řešení grantu Interní grantové agentury MZ ČR
123 l. : tab. ; 32 cm
Konstrukce automatického analytického systému na principu průtokové injekční analýzy, ovládaného mikroprocesorem za použití programovacího jazyka LabVIEW sloužícího pro optimalizaci nových metodik ke stanovení nízkých obsahů léčiv.; Desing of an automated microprocessor-controlled analytical system based on the priciple of FIA using the variable programming tool LabVIEW for optimising new methods for determing low concentrations of drugs.
- Konspekt
- Lékařské vědy. Lékařství
- NLK Obory
- farmacie a farmakologie
- chemie, klinická chemie
- NLK Publikační typ
- závěrečné zprávy o řešení grantu IGA MZ ČR
In this time, electrocardiography (ECG) is one of the most useful medical methods, how to diagnose functions of hearth. Th is gives us information about the electrical activity of the heart over time. Th is project is interested in the process and views of the ECG signal, which was measured on the human body via the biosignal amplifi er. Th is signal is processed with the virtual instrumentation machine. Whole system is made by the National Instruments LabVIEW soft ware. Th e goal of this work was to make the quality system, which will process the signal in real-time and were the user can set the main characteristics and parameters for the process – parameters of fi ltrations, type of the transforms, etc.
The subject of this project was the design and realization of laboratory measuring exercise on the mechanical ventilator. Pneumatic mechanical ventilator MARK8 from Bird Corporation Company was chosen. It is usable for three basic ventilation modes. Th ere are spontaneous, assist and controlled ventilation. We use Lilly type pneumotachometer for ventilation circuit evaluation from Hamilton company. It is usable for calm breathing. Diff erential pressure sensor Omega TX278-05D5V for diff erence pressure evaluation is being used. Also A/D card NI USB-9215 from National Instruments company as convertor to PC is being used. Measuring data are displayed in LabView. Th e Subject of Laboratory exercise is setting and measuring basic ventilation modes and failures simulation on the ventilation circuit.
A miniature probe for electromembrane extraction is developed and constructed. The tubular probe with an internal volume of 1.1 μL is made of polypropylene hollow fiber with a supported liquid membrane of 85% nitrophenyloctyl ether (NPOE) with 15% bis(2-ethylhexyl)phosphonic acid (DEHP). The probe is connected on-line to the electrophoresis with short separation capillary via an air assisted flow gating interface cast from poly (dimethylsiloxane). The compact instrument is computer controlled via LabView. The probe parameters are tested for extraction of creatinine and basic amino acids from artificial solution and human urine. The sensitivity of the electrophoretic determination after 300 s extraction at 150 V compared to the sensitivity without extraction is 4.9-fold and 2.6-fold higher for creatinine and arginine, respectively. The RSDs for peak area measured from 5 repeated extractions of 50 μM solutions are 7.5%, 7.2%, 8.6% and 9.2% for Crea, Lys, Arg and His, respectively. The probe can be used for all-day measurements. The preparation of the probe is simple and requires no special tool.
This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia.
- MeSH
- algoritmy MeSH
- elektrody MeSH
- elektrokardiografie MeSH
- lidé MeSH
- monitorování plodu * MeSH
- počítačové zpracování signálu MeSH
- těhotenství MeSH
- Check Tag
- lidé MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
