A5020533515- Blind Source Separation Techniques
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Analog and Mixed-Signal Circuit Design
- Quantum chaos and dynamical systems
- Control and Stability of Dynamical Systems
- Robotic Mechanisms and Dynamics
- Wireless Sensor Networks for Data Analysis
- Induction Heating and Inverter Technology
- Sensor Technology and Measurement Systems
VSB - Technical University of Ostrava
2020-2023
Torrens University Australia
2022
Abstract This paper introduces a novel algorithm for effective and accurate extraction of non-invasive fetal electrocardiogram (NI-fECG). In NI-fECG based monitoring, the useful signal is measured along with other signals generated by pregnant women’s body, especially maternal (mECG). These are more distinct in magnitude overlap time frequency domains, making fECG extremely challenging. The proposed method combines Grey wolf (GWO) sequential analysis (SA). innovative combination, forming...
The generation of feasible trajectories poses an eminent task in the field control design mechanical systems. paper demonstrates innovative approach trajectory planning for systems via time-reversal symmetry. It also presents two case studies: mass-spring-damper and inverted pendulum on cart. As real break symmetry, authors this work propose a unique method order to overcome drawback. computes feed-forward reference signal state trajectories. proposed solution enables compensation effects...
This paper presents regulation of an asynchronous induction motor so as to create a stable vacuum milk pump using Variable Frequency Drive (VFD). Contribution includes providing information about the usage VFD, which regulates activity that milking machine creates vacuum. The describes functional and time dependence input values output parameters frequency converters at changing electric speed. For simulation verification process mathematical model was created. verified in Matlab/Simulink...
Abstract This paper introduces a novel algorithm for effective and accurate extraction of non-invasive fetal Electrocardiogram (NI-fECG). In NI-fECG based monitoring, the useful signal is measured along with other signals generated by pregnant women’s body, especially maternal electro-cardiogram (mECG). These are more distinct in magnitude overlap time frequency domains, making fECG extremely challenging. The proposed method combines Grey wolf (GWO) Sequential Analysis (SA). innovative...