286 resources related to Cardiography
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
11th International Conference on Computational Intelligence and Communication Networks (CICN 2017) is organized to address various issues to support intelligentsolutions for society. The aim is to bring together worldwide leading researchers, developers, practitioners and educators interested in advancing the state of the art in computational intelligence and communication networks with the goal of exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is expected that researchers will enhance collaboration across disciplines in order to support novel breakthroughs in the field.
applications of computers in cardiology and cardiovascular physiology
CCECE is the flagship conference for researchers, students, and professionals in the area of Electrical and Computer Engineering from Canada and around the world to meet annually in a Canadian city to disseminate their research advancements and discoveries, to network and exchange ideas in order to strengthen existing partnerships and foster new collaborations
BHI is "informatics for smart, precision and preventive medicine."
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.
2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), 2018
Perinatal Mortality is an alarming issue in the world which needs immediate attention for the sustainable growth of nation. To address this issue, both intrapartum and antepartum fetal health state monitoring is essential. Fetal and maternal risk can be assessed by monitoring the fetal heart rate. Cardiotocography records the fetal heart rate and Uterine contractions of mother simultaneously. This signal ...
Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993
2006 Computers in Cardiology, 2006
We construct linear system-identification models of cardiotocography (CTG) data collected during labour and delivery. The models are the impulse response functions (IRFs) of the input-output system relating the uterine pressure (UP) stimulus to the fetal heart rate (FHR) response. We compare models obtained with and without applying noise suppression via the pseudo inverse technique. Finally, to determine the ability of ...
2017 International Conference on Sustainable Information Engineering and Technology (SIET), 2017
One of the most commonly used techniques for recording changes in Uterine Contractions (UC) and Fetal Heart Rate (FHR) is cardiotocography (CTG). Cardiotocographic assessment is very important in identifying oxygen-deficient fetuses, i.e. hypoxia. The situation is defined as fetal distress requiring fetal intervention, since hypoxia causes neurological diseases or fetus death. The proposed method in this paper is decision tree ...
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 1991
Perinatal Mortality is an alarming issue in the world which needs immediate attention for the sustainable growth of nation. To address this issue, both intrapartum and antepartum fetal health state monitoring is essential. Fetal and maternal risk can be assessed by monitoring the fetal heart rate. Cardiotocography records the fetal heart rate and Uterine contractions of mother simultaneously. This signal data can support the physicians to understand the fetal health status. In this paper, an efficient method to predict the high-risk pregnancy based on the fetal health status using CART is proposed. A CTG datasets having 2126 recordings from UCI machine learning repository is used for classification. 5- fold cross validation is done, and the proposed methodology using CART was quantified using precision, recall and F-score.
We construct linear system-identification models of cardiotocography (CTG) data collected during labour and delivery. The models are the impulse response functions (IRFs) of the input-output system relating the uterine pressure (UP) stimulus to the fetal heart rate (FHR) response. We compare models obtained with and without applying noise suppression via the pseudo inverse technique. Finally, to determine the ability of the models to discriminate healthy from hypoxic fetuses, we use the average models as feature vectors of a support- vector-machine (SVM) classifier. Applying the pseudo-inverse resulted in cleaner models with lower variance accounted for (VAF), likely indicative of reduced overfitting. The area under curve of the receiver-operator characteristic (ROC) without applying pseudo-inverse was 0.695 plusmn 0.054. Similar results over a useful operating range of false-positive rates were observed with the pseudo-inverse applied.
One of the most commonly used techniques for recording changes in Uterine Contractions (UC) and Fetal Heart Rate (FHR) is cardiotocography (CTG). Cardiotocographic assessment is very important in identifying oxygen-deficient fetuses, i.e. hypoxia. The situation is defined as fetal distress requiring fetal intervention, since hypoxia causes neurological diseases or fetus death. The proposed method in this paper is decision tree to analyze the Cardiotocogram data for Fetal Distress Determination. The main purpose of this classification method is to classify the fetal state class code consisting of normal, suspicious or pathologic. Fetal state class code or FHR pattern class can be classified by using pruned decision tree with the minimum misclassification error of classification confusion matrix. The misclassification error (0.184383) is the result of the experimental decision tree for analyzing cardiotogram data in determining fetal distress using a pruned decision tree. By pruning the decision tree, promising results have been obtained, 1593 + 130 + 11 = 1734 of 2126 samples were perfectly predicted. 138 samples were predicted as "pathologic", 165 samples as "suspicious", and 1593 as the actual values of "normal". 27 "pathologic", 62 "normal", and 130 as the actual values of "suspicious". Additionally, 0 "suspicious", 0 "normal", and 11 as the actual values of "pathologic".
The authors examine the problem of reliably detecting life-threatening ventricular arrhythmias, discriminating them from other rhythms and imitative artifacts, making use of spectral parameters. They try to show the existence of a clusters' structure in the defined features space, one of each cluster representing a kind of rhythm or artifacts. They used a design set of ECG (electrocardiogram) records labeled by a cardiologist. Even when the hard classification labels of these records indicates that they are reasonably separated, they overlap considerably in some regions of the features space. For this reason, the authors use fuzzy clustering algorithms for a statistical characterization of the groups. The membership-functions matrix of the prototypes of each of the clusters and the matrices that induce the norms in their environment give useful descriptions over the training set for constructing a feasible classifier for detecting ventricular arrhythmias.<<ETX>>
We present a fully automatic method for obtaining an initial estimate of endocardial border in short axis echo cardiographic videos at two different levels of left ventricle (LV). The geometry of the acoustic window along with circular Hough transform and image statistics is used to robustly identify the region of interest, which encloses left ventricle, irrespective of image quality and level of left ventricle at which image was acquired. Again in the region of interest, left ventricle center point (LVCP) was identified by image statistics. The approximate LV border was detected by radial gradient search with magnitude as well as direction and then smoothing it locally and temporally. The results were validated by comparing computer generated boundaries to those manually outlined by one expert on ten data sets each containing 28 frames over full cardiac cycle. The mean error in the boundaries was plusmn2 mm. Directional radial gradient search along with temporal constraints from adjacent frames gives a better initial estimate of the LV boundary. The contour for each of the frame so obtained may serve a good initialization to optimize it by automated methods based on active contours.
The authors developed a three-dimensional quasi-static finite-element model of the human thoracic cavity to emulate the perturbations in conduction-current characteristics associated with physiological dynamics. This model provides a theoretically sound basis for the origin of thoracic impedance waveform components. In the model, the thoracic cavity is represented as an inhomogeneous and anisotropic medium, and constitutive parameters are described as vector quantities. A collection of equations, each describing the shape, position, orientation, and constitutive characteristics of an organ or region of the thoracic cavity, are solved to obtain a mesh for a particular point in time. A solution to Poisson's equation is found for the mesh using iterative finite-difference or finite-element techniques. The results indicate that the sudden decrease in thoracic impedance that is periodic with the ECG waveform (2dZ/dt complex) is primarily due to a sudden increase in the descending aorta's diameter during left-ventricular ejection.<<ETX>>
Presents an approach to interfacing various types of commercially available fetal monitors to the KOMPOR System for computerized cardiotocography. Practical implementation of simple and universal interface circuits is described. Communications protocols with popular fetal monitors are discussed. The proposed interfaces and the method of automatic monitor identification have been verified in clinical practice. The circuits are also suitable for interfacing other patient connected equipment to computer-aided medical systems.<<ETX>>
Impedance Cardiography (ICG) has been developed to measure non-invasively cardiac functions, such as stroke volume (SV) and ventricular ejection time (VET) by the use of maximum change of the first derivative of impedance wave /spl Delta/Z(dZ/dt). A series of conventional signal processing methods were first described briefly, then, a new time-frequency analysis method was introduced in detail. Their advantages and disadvantages were studied and compared. The results showed that the latest method has more advantages in reducing ventilation artifacts and motion noise, resulting in greater accuracy. Moreover, the time-frequency analysis method can extract detail information on the transient impedance signal, which is more precise for the practical case. This method may also be powerful in revealing the insight of signal because of its ability to disclose the intimate relationship between time and frequency by the three dimensional display.
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