Physiological variation of the interval between consecutive heartbeats is known as heart rate variability (HRV). HRV analysis traditionally performed on electrocardiograms (ECG signals) and has become a useful tool in diagnosis different clinical functional conditions. The progress sensor technique encouraged development alternative methods analyzing cardiac activity: Seismocardiography gyrocardiography. In our study we ECG, seismocardiograms (SCG gyrocardiograms (GCG using PhysioNet...

Heart rate variability (HRV) is the physiological variation in intervals between consecutive heartbeats that reflects activity of autonomic nervous system. This parameter traditionally evaluated based on electrocardiograms (ECG signals). Seismocardiography (SCG) and/or gyrocardiography (GCG) are used to monitor cardiac mechanical activity; therefore, they may be HRV analysis and evaluation valvular heart diseases (VHDs) simultaneously. The purpose this study was compare time domain,...

Smoking behavior, encompassing both traditional tobacco and electronic cigarette use, is influenced by a range of demographic, familial, social factors. This study examines the relationship between smoking habits family dynamics through cross-sectional survey 100 participants, using an anonymous questionnaire to collect demographic data, patterns, familial interactions. Validated instruments, including Penn State Electronic Cigarette Dependence Index Family Relationship Assessment Scale,...

Background This paper presents the mechanical structure and control system of Polish cardio-robot Robin Heart (RIH). Methods The project with cardiac surgery robots started in 2000. It was supported by team from Foundation Cardiac Surgery Development, Zabrze, cooperation research centers Lodz Warsaw. So far three prototypes, RH0, 1 & 2, family have been designed, constructed tested. In addition many diagnostic systems to aid assessment robot performance. Results main focus this article...

Heart rate variability (HRV) has become a useful tool of assessing the function heart and autonomic nervous system. Over recent years, there been interest in monitoring without electrodes. Seismocardiography (SCG) is non-invasive technique recording analyzing vibrations generated by using an accelerometer. In this study, we compare HRV indices obtained from SCG ECG on signals combined measurement ECG, breathing seismocardiogram (CEBS) database determine influence beat detector signals. We...

Analyzing biomedical data is a complex task that requires specialized knowledge. The development of knowledge and technology in the field deep machine learning creates an opportunity to try transfer human computer. In turn, this fact influences systems for automatic evaluation patient’s health based on acquired from sensors. Electrocardiography (ECG) technique enables visualizing electrical activity heart noninvasive way, using electrodes placed surface skin. This signal carries lot...

Heartbeat detection is an essential part of cardiac signal analysis because it recognized as a representative measure function. The gold standard for heartbeat to locate QRS complexes in electrocardiograms. Due the development sensors and information communication technologies (ICT), seismocardiography (SCG) becoming viable alternative electrocardiography monitor heart rate. In this work, we propose system detecting based on seismocardiograms using deep learning methods. study was carried...

Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state cardiovascular autonomic function. Over recent years there has been interest in heart monitoring without electrodes. Seismocardiography (SCG) non-invasive technique recording and analyzing vibrations. The purpose this study to compare HRV indices calculated on SCG ECG signals from Combined measurement ECG, breathing seismocardiogram (CEBS) database. authors use 20 lasting 200 s acquired patients supine...

Presents some recently obtained results concerning the possibility of application wavelet neural networks (WNN) for classification purposes in case patients with coronary artery disease different levels. Patients respectively one, two and three arteries blocked have been taken into consideration. The Heart Rate Variability signal has registered 5 minutes each such patients. All previously preliminary classified by an experienced cardiologist regard to estimation number blocked. Then half HRV...

Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state cardiovascular autonomic function. The interest in heart monitoring without electrodes led to rise alternative beat methods, such as gyrocardiography (GCG). purpose this study was compare HRV indices calculated on GCG and ECG signals. time domain frequency analysis conducted electrocardiograms gyrocardiograms registered 29 healthy male volunteers. signals were used reference performed using PhysioNet...

Heart rate variability (HRV) is a physiological phenomenon of the variation cardiac interval (interbeat) over time that reflects activity autonomic nervous system. HRV analysis usually based on electrocardiograms (ECG signals) and has found many applications in diagnosis diseases, including valvular diseases. This could also be performed seismocardiograms (SCG gyrocardiograms (GCG provide information cycles state heart valves. In our study, we sought to evaluate influence disease...

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 sympatho-vagal balance estimated in real time an possible early indicator upcoming episodes. As relative reliable alternative for very complex systems, only clinical environment usage with audio and video a pilot study toward elaboration compact, comfortable home device algorithms was carried out, preliminary...

A support vector machine (SVM) is a relatively novel classifier based on the statistical learning theory. To increase performance of classification, presented study focuses mixed domain (time&frequency) feature extraction preliminary to SVM application. Time and frequency selected features discrete fast wavelet transform coefficients parameters including energy entropy measures were component new vector. structure adjusted by selection optimal for analysed application its kernel...

The aim of this work was the application computer and physical in vitro simulation methods for estimating surgery procedure hemodynamics. modified Blalock-Taussig (mB-T) palliative surgical is performed to increase pulmonary blood flow children with congenital heart defects. Such a systemic-to-pulmonary shunt yields substantial modification within large vessels. objective present study investigate basic characteristics flow, pattern pressure-flow efficiency, before after opening mB-T graft....

Analyzing biomedical data is a complex task and requires specialized knowledge. The development of knowledge technology in the field deep machine learning creates an opportunity to try transfer human computer. This fact, turn, influences systems for automatic evaluation patient's health based on acquired from sensors. Electrocardiography (ECG) technique that enables visualise electrical activity heart noninvasive way, using electrodes placed surface skin. signal carries lot information about...

Due to redundancy of over-dimensioned information, observed often in originally recorded biomedical signals, feature extraction and selection has become focus much researches connected with signal processing classification. Mixed new vector combined from time-frequency representation (obtained after wavelet transform) Independent Component Analysis (ICA) applied for non-stationary signals is proposed as a preliminary stage ECG waveform classification patients Atrial Fibrillation (AF)....

Presented in this article is the project of manipulator, named RobIn Heart, which run by Foundation Cardiac Surgery Development Zabrze, Poland, cooperation with specialists from Technical University Lodz and Warsaw Technology assumes realisation original prototype a robot for usage cardiac surgery development operation planning system. The brief history robotic fundamental advantages employing robots field follow assumptions Polish Cardio-Robot project. detailed mechanical analysis...

Objectives 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 new channel artery. The main problem this kind surgery poor effectiveness and lack possibility regulate flow. aim work use advanced computer simulation methods study idea introduce small axial pump into Blalock-Taussig (B-T) order control prevent any stenosis. Methods...

Heart rate variability (HRV) is a physiological variation of time interval between consecutive heart beats caused by the activity autonomic nervous system. Seismocardiography (SCG) non-invasive method analyzing cardiac vibrations and can be used to obtain inter-beat intervals required perform HRV analysis. on SCG signals are detected as occurrences aortic valve opening (AO) waves. Morphological variations subjects complicate developing annotation algorithms. To overcome this obstacle we...

Presents some recently obtained results regarding possibility of application wavelet neural networks (WNN) for both description and further analysis events happening with the artificial heart valves. It is extremely important to create a tool allowing flow pattern through an valve prosthesis, which makes possible extraction conclusions leading prosthesis design process improvement.