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This research describes the work aimed to develop medical noninvasive electrocardiogram (ECG) and electromyogram (EMG) electrode system for health monitoring and science technology application. Biometrics electric signal is the use of biologically unique features to make personal identification for individual's unique physical health condition. These electrical signals are used to control electronic...
At present there are various measuring devices or instruments that acquire the electrical activity of the heart (ECGs), but make a proper measurement, models the signs are printed directly on sheets of graph paper, unable to save the information for later analysis. In this work we make the development of a bioelectric signal acquisition, in this case focused on the signals emitted by the heart to...
Fetal heart rate variability (FHRV) is one of the valuable features of fetal electrocardiography that could be useful to obtain reliable information about the fetal heart activity. In noninvasive systems, the major obstacle for the accurate detection of the fetal QRS (fQRS) complex is the presence of abdominal noise and the maternal ECG (mECG). In this study, we proposed a multistep framework based...
Since the QRS complex in electrocardiogram signals is one of the most important tasks to describe the operation of heart, high accuracy detection for this complex should be considered. In this study one of the newest methods of QRS complex detection combined with several artifact sources reduction methods has been performed. QRS detection algorithm includes baseline drift removal, Butterworth filtering,...
Semi-automatic segmentation of the heart muscle in 3D echographic images may substantially support clinical diagnosis of heart disease. Especially in children with congenital heart disease, segmentation should be based on the echo features solely since a priori knowledge on the shape of the heart cannot be used. Segmentation of echocardiographic images is challenging because of the low echogenicity...
Sleep disorders affect over 40 million patients and represent a significant a significant risk factor for many, often life threatening diseases. Technologies available for diagnostics and treatment typically involve the recording of key biomedical signals including ECG, EEG, EMG, SpO2, and respiration. Overnight measurement of such parameters is often compromised by the discomfort imposed by conventional...
Proximity of the collection sites of the heart muscle electrical activity (ECG) and the surface electromyographic signals (sEMG) with the volume conduction characteristics of the ECG through the torso are the most often reasons of contamination between the ECG and EMG signals. A lot of studies have quantified ECG removal techniques relative to an uncontaminated EMG signal (standard measured or criterion...
A bathroom scale ballistocardiogram (BCG) recorder has been developed in our group as a potential home monitor for heart failure outpatients. While the signal quality obtained by this device is as high as elaborate table- and bed-based BCG systems discussed previously in the literature, the standing posture required by this system may lead to undesired motion induced noise in the signal, particularly...
The contribution of the epi- and endocardial as well as the myocardial electrical activity to the body surface potentials was investigated in this study. A volume conductor model including a realistic anisotropic ventricular model was built up and the forward problem of electrocardiography was solved for four different rhythms. The results show, that the body surface potentials depend to a high degree...
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