Pawel Kostka

Pawel Kostka
Silesian University of Technology · Faculty of Biomedical Engineering

PhD, Eng DSc Prof. of SUT

About

111
Publications
10,901
Reads
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390
Citations
Citations since 2016
35 Research Items
210 Citations
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050

Publications

Publications (111)
Preprint
Full-text available
Heart rate variability (HRV) is a physiological variation of intervals between consecutive heart beats that reflects the activity of the autonomic nervous system. This parameter is traditionally evaluated on the basis of elec-trocardiograms (ECG signals). Because seismocardiog-raphy (SCG) registers cardiac mechanical activity, it may be used in HRV...
Conference Paper
The physical performance of an athlete is based on monitoring several parameters in response to a known stimulus in a controlled environment. In our study, we applied a stress test on a treadmill with the regulated speed and incline. Because traditional parameters describing physical performance (heart rate, blood lactate concentration, VO 2 max) d...
Conference Paper
Full-text available
Heartbeat detection is an essential part of the analysis of cardiac signals because it is recognized as a representative measurement of cardiac function. The gold standard of heartbeat detection is detecting the QRS com- plexes in electrocardiograms. Due to the development of sen- sors and information and communication technologies (ICT), seismocar...
Conference Paper
Heart rate variability (HRV) is a physiological phenomenon of the variation of a cardiac interval (interbeat) over time that reflects the activity of the autonomic nervous system. HRV analysis is usually based on electrocardiograms (ECG signals) and has found many applications in the diagnosis of cardiac diseases, including valvular diseases. This...
Article
Full-text available
Analyzing biomedical data is a complex task that requires specialized knowledge. The development of knowledge and technology in the field of deep machine learning creates an opportunity to try and transfer human knowledge to the computer. In turn, this fact influences the development of systems for the automatic evaluation of the patient’s health b...
Chapter
Assessment of the current physical performance of an athlete relies on monitoring several parameters in response to a stimulus. One of them is a fast march on a treadmill with regulated speed and incline. Because traditional parameters describing physical performance (heart rate, blood lactate concentration, VO2max) do not provide specific informat...
Chapter
The emergence of new information technologies affects various aspects of life. The use of mobile communication devices in healthcare is known as mobile health or mHealth. In our study, we present an app for measuring the heart rate in real time based on seismocardiography. The heartbeats were detected with a modified version of Pan-Tompkins algorit...
Article
Full-text available
Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspec...
Preprint
Full-text available
Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (micro electromechanical) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of...
Chapter
Full-text available
Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in literature. In order to evaluate quantitatively this influence we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 minutes. The following HRV ind...
Article
Full-text available
Physiological variation of the interval between consecutive heartbeats is known as the heart rate variability (HRV). HRV analysis is traditionally performed on electrocardiograms (ECG signals) and has become a useful tool in the diagnosis of different clinical and functional conditions. The progress in the sensor technique encouraged the developmen...
Preprint
Full-text available
Heart rate variability (HRV) is a valuable non-invasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and EC...
Presentation
Full-text available
Heart rate variability (HRV) is a valuable non- invasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without elec- trodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and...
Preprint
Heart rate variability (HRV) is a physiological phenomenon in which the time interval between consecutive heart beats varies. HRV analysis is traditionally performed on electrocardiograms and has become a useful tool in diagnosis of different clinical and functional conditions. The progress in sensor technique encouraged the development of alternat...
Conference Paper
Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG...
Chapter
Full-text available
Heart rate variability (HRV) is the physiological variation of time between heart beats caused by the activity of autonomic nervous system. Heart rate variability analysis has found various applications in the diagnosis and treatment of different clinical and functional conditions. One of the prominent approaches in HRV analysis are Poincaré map. H...
Conference Paper
Heart rate variability (HRV) is a physiological variation of time interval between consecutive heart beats caused by the activity of autonomic nervous system. Seismocardiography (SCG) is a non-invasive method of analyzing cardiac vibrations and can be used to obtain inter-beat intervals required to perform HRV analysis. Heart beats on SCG signals a...
Chapter
Full-text available
Heart rate variability (HRV) is the physiological variation of time between consecutive heart beats. Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular vibrations transmitted to the chest wall. Mobile devices can monitor health parameters thanks to embedded sensors. In this study we compare HRV indices calcu...
Conference Paper
Full-text available
Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular activity as vibrations transmitted to the chest wall. Mobile devices offer the possibility to monitor health parameters thanks to embedded sensors. Various applications have been proposed for SCG, including heart rate calculation. Our aim is to detect heart...
Preprint
Full-text available
Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in literature. In order to evaluate quantitatively this influence we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 minutes. The following HRV ind...
Poster
Full-text available
Heart rate variability (HRV) is a physiological variation of time interval between consecutive heart beats caused by the activity of autonomic nervous system. Seismo- cardiography (SCG) is a non-invasive method of analyzing cardiac vibrations and can be used to obtain inter-beat intervals required to perform HRV analysis. Heart beats on SCG signals...
Article
Full-text available
Background: Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years, there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing vibrations generated by the heart u...
Preprint
Heart rate variability (HRV) is the physiological variation of time between heart beats caused by the activity of autonomic nervous system. Heart rate variability analysis has found various applications in the diagnosis and treatment of different clinical and functional conditions. One of the prominent approaches in HRV analysis are Poincaré map. H...
Preprint
Heart rate variability (HRV) is a physiological variation of time interval between consecutive heart beats caused by the activity of autonomic nervous system. Seismo-cardiography (SCG) is a non-invasive method of analyzing cardiac vibrations and can be used to obtain inter-beat intervals required to perform HRV analysis. Heart beats on SCG signals...
Chapter
Full-text available
Atrial fibrillation (AFib) is a supraventricular tachyarrhythmia characterized by uncoordinated atrial activation and ineffective atrial contraction. AFib affects 1–2% of the general population, its prevalence increases with age and may remain long undiagnosed. Due to costs of hospitalization and treatment related to AFib and increasing prevalence,...
Preprint
Heart rate variability (HRV) is the physiological variation of time between consecutive heart beats. Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular vibrations transmitted to the chest wall. Mobile devices can monitor health parameters thanks to embedded sensors. In this study we compare HRV indices calcu...
Preprint
Background: Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing vibrations generated by the heart usi...
Conference Paper
Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. Over the recent years there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing cardiovascular vibrations. The purpose of this study is to...
Preprint
Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular activity as vibrations transmitted to the chest wall. Mobile devices offer the possibility to monitor health parameters thanks to embedded sensors. Various applications have been proposed for SCG, including heart rate calculation. Our aim is to detect heart...
Poster
Full-text available
Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular activity as vibrations transmitted to the chest wall. Mobile devices offer the possibility to monitor health parameters thanks to embedded sensors. Various applications have been proposed for SCG, including heart rate calculation. Our aim is to detect heart...
Presentation
Full-text available
Heart rate variability (HRV) is a valuable non-invasive tool of assessing the state of cardiovascular autonomic function. Over the recent years there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing cardiovascular vibrations. The purpose of this study is t...
Conference Paper
Full-text available
Development of high quality, sensitive and inexpensive ac-celerometers in the last decade in combination with low cost computational power provided the reasons for reconsidering analysis of cardiovas-cular vibrations in clinical practice. Accelerometers used in such analysis register gravitational offset because of Einstein's equivalence principle,...
Poster
Full-text available
Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular vibrations on the chest wall. Accelerometers used in such analysis register gravitational offset because the effects of gravity on an object are indistinguishable from acceleration. Our aim is to investigate the influence of gravitational offset on heart bea...
Conference Paper
Full-text available
In the last decade the development of high quality, sensitive and inexpensive accelerometers has been seen, which in combination with low cost computational power provided the reasons for reconsidering analysis of cardiovascular vibrations in clinical practice.
Conference Paper
Full-text available
In this paper, we describe the RobinHeart surgery robot development related project in which entire robot operation is supposedly done remotely, using wide area network connection. In such environment, any vision and telemanipulation data packets are subject to delay, limitations, issues and failures, as any network connections do. It has become ne...
Conference Paper
Sleep bruxism events detection system is presented, based on integrated, synchronized on-line analysis of EMG signal, heart rave variability (HRV) obtained from ECG recordings as well as sympatho-vagal balance estimated in real time as an possible early indicator of upcoming bruxism episodes. As an relative reliable alternative for very complex sys...
Article
Full-text available
It is possible to observe recently that application of the simple, known tools for biomedical signals processing is no longer justified. The problems under analysis frequently require application of more and more sophisticated tools. This is the case in attempt of estimation of rehabilitation progress referring to patients after ischemic brain stro...
Article
Full-text available
The last decades, when robots have appeared in the operating room, showed the possibility of surgery enhancement by improving precision, repeatability, stability and dexterity. However, taking into consideration still existing limitations of robotics in surgery, and treating the robots as medical devices with the highest degree of safety level requ...
Article
System for remote manipulating of endoscopic vision channel as support for minimal invasive surgery is presented. Original control system for telemanipulator working in Master-Slave configuration is implemented on Real Time system and partially as a interface for Master unit on reprogramovable FPGA, Xilinx, where data acquisition and processing alg...
Chapter
Presented system combines the rapid technological advances in wireless communication and on the other hand progress in sophisticated, miniaturized sensors, to create remote detector of human fall and walking parameters. New MEMs acceleration sensor, with A/D converter, filter and additional peripherals on the miniaturized board was connected to mic...
Conference Paper
Various methods for the continuous representation of unevenly sampled physiological signals, especially of heart rate and heart rate variability have been published over the past two decades. Due to the mathematical difficulties of analyzing unevenly spaced event series or unevenly sampled signals, all of the previously described techniques are imp...
Article
The goal of presented work was to compare the usage of standard basic wave let function like e.g. bio-orthogonal or dbn with the optimized wavelet created to the best match analyzing ECG signals in the context of P-wave and atrial fibrillation detection. A library of clinical expert evaluated typical atrial fibrillation evolutions was created as a...
Chapter
This paper presents an investigation concerning influence of both Sympathetic (SNS) and Parasympathetic (PNS) Nervous Systems for Normogastric Rhythm extracted from Electrogastrogram (EGG), which can be considered as a gastric myoelectrical activity measured by several electrodes attached on the abdomen. The analysis has been performed using princi...
Article
Due to redundancy of over-dimensioned information, observed often in originally recorded biomedical signals, feature extraction and selection has become focus of much researches connected with biomedical signal processing and classification. Mixed new feature vector combined from time-frequency signal representation (obtained after wavelet transfo...
Article
Electrogastrographic Signal (EGG) is considered to be one of the less interesting from both registration and interpretation point of view. There are several reasons of that two facts. EGG presents gastric myoelectrical activity measured by several electrodes attached on the abdomen. Unfortunately the registration procedure does not deliver a pure s...
Article
Full-text available
Presented paper describes a system of biomedical signal classifiers with preliminary feature extraction stage based on matched wavelets analysis, where two structures of classifier using Neural Networks (NN) and Support Vector Machine (SVM) are applied. As a pilot study the rules extraction algorithm applied for two of mentioned machine learning ap...
Conference Paper
A support vector machine (SVM) is a relatively novel classifier based on the statistical learning theory. To increase the performance of classification, presented study focuses on the mixed domain (time&frequency) feature extraction preliminary to SVM application. Time and frequency domain selected features and discrete fast wavelet transform coeff...
Article
The analysis of HRV spectrum, where parasympathetic (PNS) and sympathetic (SNS) nervous systems present their influence suffers from the insufficiency of precise methodology as both mentioned influences have totally nonlinear behavior. Therefore a new approach has recently been proposed, which expands nonlinear systempsilas dynamics into modal comp...
Article
Ischemic Brain Stroke is considered to be one of the most significant reason causing mortality of patients. During first 60 days after brain stroke some critical symptoms are localized. Eventual registration of physiological parameters or biomedical signals e.g. heart rate variability within that time results in extremely difficult interpretation,...
Article
Due to redundancy of over-dimensioned information, observed often in originally recorded biomedical signals, feature extraction and selection has become focus of much researches connected with biomedical signal processing and classification. Mixed new feature vector combined from time-frequency signal representation (obtained after wavelet transfor...
Article
One of the most popular palliative procedures performed to increase pulmonary blood flow in children with congenital heart defects is a shunt operation (Blalock-Taussig graft or Glenn procedure), which creates the new blood channel to the pulmonary artery. The main problem with this kind of surgery is poor shunt effectiveness and the lack of possib...
Chapter
Intensively explored support vector machine (SVM) due to its several unique advantages was successfully verified as a time series predicting tool in last years. In presented work the improvement of SVM classifier by introduction to a system a preliminary feature extraction stage is proposed. Based on ECG signals from patients suffering from atrial...
Chapter
Two stages system consisting of feature extraction and selection part followed by neural classifier dedicated for atrial fibrillation (AF) detection, with preliminary ventricular activation cancellation is presented. According to proposed in this paper method the set of parameters obtained from time-frequency signal analysis mixed with features cha...
Chapter
Full-text available
Proposed methods for feature extraction and selection stages of biomedical pattern recognition system are presented. Time-Frequency signal analysis based on adaptive wavelet transform and Principle Component Algorithm (PCA) algorithm is used for extracting and selecting from original data the input features that are most predictive for a given outc...
Article
Recently, almost uncontrolled technological progress allows so called highthroughput data collection for sophisticated and complex experimental biological systems analysis. Especially it concerns the whole cellular genome. Therefore it becomes more and more vital to suggest and elaborate gene network models, which can be used for more complete inte...
Chapter
Full-text available
The Robin Heart system has been developed by the Foundation for Cardiac Surgery Development (FSCD) and conceived as a telesurgery system with two principal parts: a master system that is driven by the surgeon and a slave system that works directly on the patient interacting with the environment. The preceding studies present the results for the sla...
Chapter
Electrogarstrogram (EGG) is an electric signal that is propagated through the muscles of stomach controlling muscles contractions and measuring stomach nerve activity before and after food ingestion. It is easy to perform, noninvasive and relatively inexpensive test which therefore has become an attractive method for physiologic and pathophysiologi...
Conference Paper
A system to verify the forward kinematic and the trajectories for the Robin Heart master device-performed by the Foundation for Cardiac Surgery Development (FCSD)-was implemented. The system consists of hardware based on incremental encoders connected to a data acquisition card and software programmed in Matlab and LabView to create an interface be...