A5046487224- ECG Monitoring and Analysis
- Neonatal and fetal brain pathology
- Phonocardiography and Auscultation Techniques
- Non-Invasive Vital Sign Monitoring
- Fuzzy Logic and Control Systems
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Blind Source Separation Techniques
- Neural Networks and Applications
- Wireless Body Area Networks
- Vestibular and auditory disorders
- Face and Expression Recognition
- Advanced Scientific Research Methods
- Preterm Birth and Chorioamnionitis
- Visual perception and processing mechanisms
- Glaucoma and retinal disorders
- Healthcare Technology and Patient Monitoring
- Multi-Criteria Decision Making
- Fuzzy Systems and Optimization
- Infant Health and Development
- Advanced Clustering Algorithms Research
- Sleep and Work-Related Fatigue
- Time Series Analysis and Forecasting
- Heart Rate Variability and Autonomic Control
- Image and Signal Denoising Methods
Silesian University of Technology
2013-2023
Institute of Medical Technology and Equipment
2011-2019
Łukasiewicz Research Network
2019
Abstract The main aim of our work was to assess the reliability indirect abdominal electrocardiography as an alternative commonly used Doppler ultrasound monitoring technique. As a reference method, we direct fetal electrocardiography. Direct and signals were acquired simultaneously, using dedicated instrumentation. developed method maternal signal suppression well QRS complexes detection presented. Recordings collected during established labors, each consisted four from abdomen directly...
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...
Non-invasive fetal electrocardiography appears to be one of the most promising monitoring techniques during pregnancy and delivery nowadays. This method is based on recording electrical potentials produced by heart from surface maternal abdomen. Unfortunately, in addition useful electrocardiographic signal, there are other interference signals abdominal that need filtered. The biggest challenge designing filtration methods suppression signal. study focuses extraction signal recordings using...
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...
Cardiotocography (CTG) is a standard procedure for fetal monitoring during pregnancy and labor. A number of automated methods the classification CTG recordings are based on supervised learning. Machine learning requires set parameters that quantitatively describe acquired signals accompanied by reference interpretation. This article presents method retrospective fetal-state assessment using results fuzzy analysis delivery outcome attributes. In real clinical datasets class related to an...
Cardiotocographic (CTG) monitoring, consisting in analysis of the fetal heart rate, uterine contractions, and movements is primary noninvasive method for state assessment. The visual interpretation CTG signals characterized by large inter- intraobserver disagreement. Hence, automated methods supporting diagnosis process are topic researches. In presented study, evaluation signals, based on fuzzy clustering with pairs prototypes, described. efficiency proposed verified using two benchmark...
This article introduces a new classifier design method that is based on modification of the traditional fuzzy clustering. First, ordered c-means clustering proposed. can be considered as generalization concept conditional by introducing ordering and weighting distances from data to cluster prototypes. As result, more local impact created groups increased repulsive force between group prototypes are obtained. The proposed provides better representation classes, in particular for classes with...
Abstract A saccade is one of the characteristic types eye movements. The accurate detection and location saccades in signal representing movement activity eyes are essential medical applications. main purpose this paper to present a new, robust approach saccadic procedure based on so-called function, which result electronystagmographic (ENG) myriad filtering, nonlinear operation, fuzzy median clustering. Smooth peaks function waveform correspond ENG signal. clustering-based method allows for...
Fetal phonocardiography (fPCG) is a non-invasive technique for detection of fetal heart sounds (fHSs), murmurs and vibrations. This acoustic recording passive provides an alternative low-cost method to ultrasonographic cardiotocography (CTG). Unfortunately, the fPCG signal often disturbed by wide range artifacts that make it difficult obtain significant diagnostic information from this signal. The study focuses on filtering containing three types noise (ambient noise, Gaussian movement...
The analysis of eye movements is valuable in both clinical work and research. One the characteristic type saccade. accurate detection saccadic base for further processing saccade parameters such as velocity, amplitude duration. This paper concerns an method that based on pre-processing signal then proposed non-linear function can be applied. described characterizes less sensitivity any kind noise due to application robust myriad filter which used eliminate baseline drifts impulsive...