A5005557278- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- Advanced Adaptive Filtering Techniques
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Image and Signal Denoising Methods
- Non-Invasive Vital Sign Monitoring
- Control Systems and Identification
- Vestibular and auditory disorders
- Neural Networks and Applications
- Visual perception and processing mechanisms
- Time Series Analysis and Forecasting
- Speech and Audio Processing
- Sensor Technology and Measurement Systems
- Cardiac electrophysiology and arrhythmias
- Power Line Communications and Noise
- Glaucoma and retinal disorders
- Fault Detection and Control Systems
- Advanced Scientific Research Methods
- Phonocardiography and Auscultation Techniques
- Sleep and Work-Related Fatigue
- Analog and Mixed-Signal Circuit Design
- Chaos control and synchronization
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
Silesian University of Technology
2014-2023
Noise reduction methods have a great impact on the performance of all EEG signal processing systems. The work involves in impulsive interferences. It is impossible to suppress effectively such noise using linear filtering approach. presents properties cascaded filter based ordered weighted aggregation (OWA) operator and its application improve electroencephalogram (EEG) signal. OWA class mean-like operators. By introducing nonlinear sorting process by assigning appropriate values weights...
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...
Atrial fibrillation is a common heart rhythm disorder that now becoming significant healthcare challenge as it affects more and people in developed countries. This paper proposes novel approach for detecting this disease. For purpose, we examined the ECG signal by QRS complexes then selecting 30 successive R-peaks analyzing atrial activity segment with variety of indices, including entropy change, variance wavelet transform distribution energy bands determined dual-Q tunable Q-factor...
The biomedical signals are commonly recorded with a noise. Many different kinds of noise exist in environment. One the noises is waveform an electrical activity muscles. This "natural" distortion usually modeled white Gaussian But such assumption not always true, because real-life muscle has sometimes impulsive character. First objective this paper application /spl alpha/-stable distribution as model ECG signal. Second family M-filters to suppression (ECG signals). reference filter median filter.
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...
The electrooculogram represents the electrical activity of muscles which steering movements an eye. eye blinking is a natural protection system defends from environmental exposure. spontaneous blink considered to be suitable indicator for fatigue diagnostics during many, different tasks human being activity. detection function used detect action. On this base position estimated. results demonstrate that measurement parameter provides reliable information eye-controlled systems human-machine...
In this paper we presented an approach to segmentation of electrooculography (EOG) signal. For have used the elements fuzzy set theory. Results obtained in our numerical experiments show usefulness proposed approach. Our method can be also for generating a learning necessary neural networks or fuzzy-neural systems training.
In this paper, an overview of the robust filtering problem is provided and ordered weighted aggregation (OWA) operator described. This applied as a average signal samples in sliding window to produce output values filter. The appropriate selection weights allows efficiently suppress impulsive noise. process similar moving smoothing however one very sensitive outliers. Several weighting functions have been tested due ability minimize impact Introducing non-linear sorting attributing sorted...