- ECG Monitoring and Analysis
- Neonatal and fetal brain pathology
- Non-Invasive Vital Sign Monitoring
- Phonocardiography and Auscultation Techniques
- Wireless Body Area Networks
- Polish Historical and Cultural Studies
- Healthcare Technology and Patient Monitoring
- Mental Health and Psychiatry
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
- Advanced Database Systems and Queries
- Cardiac Arrhythmias and Treatments
- Context-Aware Activity Recognition Systems
- Fuzzy Logic and Control Systems
- Data Management and Algorithms
- Neural Networks and Applications
- Terahertz technology and applications
- Mechanical and Thermal Properties Analysis
- Language and Culture
- Neonatal Respiratory Health Research
- Speech and Audio Processing
- Linguistic research and analysis
- Time Series Analysis and Forecasting
- Polish-Jewish Holocaust Memory Studies
Lukasiewicz Research Network - Krakow Institute of Technology
2023
Institute of Medical Technology and Equipment
2011-2020
Łukasiewicz Research Network
2019-2020
Military University of Technology in Warsaw
1994-2016
Instituto Tecnológico Autónomo de México
2008-2015
Monitoring fetal heart rate (FHR) variability plays a fundamental role in state assessment. Reliable FHR signal can be obtained from an invasive direct electrocardiogram (FECG), but this is limited to labour. Alternative abdominal (indirect) FECG signals recorded during pregnancy and Quality, however, much lower the maternal uterine contractions provide sources of interference. Here, we present ten twenty-minute 12 five-minute labour signals. Abdominal reference were simultaneously Reference...
Atrial fibrillation (AF) is a serious heart arrhythmia leading to significant increase of the risk for occurrence ischemic stroke. Clinically, AF episode recognized in an electrocardiogram. However, detection asymptomatic AF, which requires long-term monitoring, more efficient when based on irregularity beat-to-beat intervals estimated by rate (HR) features. Automated classification heartbeats into and non-AF means Lagrangian Support Vector Machine has been proposed. The classifier input...
Monitoring of uterine contraction activity is an important diagnostic tool used during both pregnancy and labour. The strain the pregnant uterus exerts on maternal abdomen measured via external tocography. However, limitation this approach has caused development another technique—electrohysterography—which based recording electrical activity. A computer-aided system presented, which allows electrohysterographic signals from their on-line analysis in time frequency domains. As a research...
A method for comparison of two acquisition techniques that are applied in clinical practice to provide information on fetal condition is presented. The aim this work was evaluate the commonly used Doppler ultrasound technique monitoring mechanical activity heart. Accuracy beat-to-beat interval determination together with its influence indices describing heart rate (FHR) variability calculated automatically using computer-aided system were examined. We considered direct electrocardiography as...
The currently used fetal monitoring instrumentation that is based on Doppler ultrasound technique provides the heart rate (FHR) signal with limited accuracy. It particularly noticeable as significant decrease of clinically important feature - variability FHR signal. aim our work was to develop a novel efficient for processing signal, which could estimate cardiac cycle duration accuracy comparable direct electrocardiography.We have proposed new true beat-to-beat values through multiple...
Great expectations are connected with application of indirect fetal electrocardiography (FECG), especially for home telemonitoring pregnancy. Evaluation heart rate (FHR) variability, when determined from FECG, uses the same criteria as FHR signal acquired classically – through ultrasound Doppler method (US). Therefore, equivalence those two methods has to be confirmed, both in terms recognizing classical patterns: baseline, accelerations/decelerations (A/D), long-term variability (LTV), well...
Cardiotocography (CTG) is a biophysical method of fetal condition assessment based mainly on recording and automated analysis heart activity. The computerized monitoring systems provide the quantitative description CTG signals, but effective conclusion generation methods for decision process support are still needed. Assessment state can be verified only after delivery using (newborn) outcome data. One most important features defining abnormal low birth weight. This paper describes an...
Atrial fibrillation (AF) is one of the most common cardiac arrhythmia and effects nearly 1-2 every 100 persons population. This paper evaluates effectiveness Machine Learning (ML) approach to detect AF episodes. Features, determined exclusively on basis beat intervals, are classified with linear classifier. Performances proposed evaluated by means MIT-BIH Fibrillation Database.
Central patient monitoring has become the standard approach in modern medicine. In fetal surveillance system bedside monitor as an input device enables heart rate, uterine contractions and movement information to be accessed by a computer. However, connection of several monitors (various types sometimes) meets few serious software hardware problems. The efforts that have been taken solve these problems during development centralised are discussed this paper. (4 pages)
Cardiotocographic monitoring is a primary biophysical method for assessment of fetal state based on quantitative analysis the signals. Although computerized systems have become standard in clinical centres, effective methods, which could enable conclusion generation, are still being searched. In proposed work attempts been made to answer some important questions, occurred during application neural network classification as normal or abnormal. These questions particularly medical applications...
Among various methods of monitoring fetal heart activity a Doppler ultrasound technique is the most often used. Complexity and variability signal make difficult precise measurement timing dependences defining individual phases cardiac cycle. Aim work was to carry out detailed comparative analysis echo coming from movement two different objects within heart: valve wall. Joint time frequency were applied. Fetal monitor performed role input device in our station based on LabView environment....
At present, the most widespread method of monitoring uterine contractions activity during pregnancy and labour is external tocography method. This mechanical method, however, has limited value resulting from its low accuracy sensibility. Recent progress in new techniques perinatal requires a more precise activity. The promising seems to be electrohysterography, which consists recording electrical by means electrodes attached abdominal wall. We made an attempt evaluate possibility replace...
We compared terahertz transmission spectra of explosives measured by means Time Domain Spectroscopy (TDS) and an Optical Parametric Oscillator-based system (OPO). Reflection pure were in reflection configuration TDS the range 0.3-2.5THz. also analyzed influence surface roughness on reflectance phase RDX-plastic based explosives. Next, we present a thermal phantom human body working THz range, which was developed for testing cameras. demonstrate possibility improvement quality image captured...