Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166796
E. T. van der Velde, W.H.G.J. Hoekstra, T. Witteman, C. Brobbel, D. Atsma, M. Baljon
A dedicated cardiology information system (CARIS) has been developed in our department to record all information pertaining to studies performed in the cathlab and pacemaker lab. However, information stored in other systems in the cardiac function lab was not available in CARIS. This includes ECGs (rest ECGs, stress ECGs and Holter ECGs), and reports from echo studies and stress ECG studies. Data obtained from these functional studies are stored in various database systems. For each of these systems a different, dedicated interface was developed to allow the cardiologist to obtain access to the data from within CARIS. These results show that integration of all information available in the cardiology department is feasible. Presently, we are developing a completely new version of CARIS that will allow optimal integration of cardiology based information (as well as in the CARIS database, as in separate systems) with data in the hospital information system.
{"title":"Integrated access to function test results from within a cardiology information system","authors":"E. T. van der Velde, W.H.G.J. Hoekstra, T. Witteman, C. Brobbel, D. Atsma, M. Baljon","doi":"10.1109/CIC.2002.1166796","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166796","url":null,"abstract":"A dedicated cardiology information system (CARIS) has been developed in our department to record all information pertaining to studies performed in the cathlab and pacemaker lab. However, information stored in other systems in the cardiac function lab was not available in CARIS. This includes ECGs (rest ECGs, stress ECGs and Holter ECGs), and reports from echo studies and stress ECG studies. Data obtained from these functional studies are stored in various database systems. For each of these systems a different, dedicated interface was developed to allow the cardiologist to obtain access to the data from within CARIS. These results show that integration of all information available in the cardiology department is feasible. Presently, we are developing a completely new version of CARIS that will allow optimal integration of cardiology based information (as well as in the CARIS database, as in separate systems) with data in the hospital information system.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"409-411"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166796","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166808
R. Brychtal, W. Charoensuk, L. Bernardi, R. Furlan, R. Shiavi, A. Diedrich
The application of conventional signal processing methods used to obtain an integrated signal from muscle sympathetic nerve activity (MSNA) reduces the amount of information and may confound the spectral characteristics. We present a novel alternative method of processing the raw MSNA signal using a wavelet transform denoising technique that enables detection of individual action potentials and facilitates spectral analysis. A spike density function (SDF) is generated from the denoised signal by replacing the detected action potentials with delta functions and convolving with a 3 Hz Gaussian filter. This method was validated using data from a sinusoidal neck suction (NS) experiment in humans. The results of the analysis indicate that the oscillations of sympathetic nerve firings closely followed the NS frequency. In conclusion, the SDF representation allows for a novel and insightful analysis of spectral components of action potential trains in raw MSNA.
{"title":"Spectral analysis of multiunit action potential trains of muscle sympathetic nerve activity in humans","authors":"R. Brychtal, W. Charoensuk, L. Bernardi, R. Furlan, R. Shiavi, A. Diedrich","doi":"10.1109/CIC.2002.1166808","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166808","url":null,"abstract":"The application of conventional signal processing methods used to obtain an integrated signal from muscle sympathetic nerve activity (MSNA) reduces the amount of information and may confound the spectral characteristics. We present a novel alternative method of processing the raw MSNA signal using a wavelet transform denoising technique that enables detection of individual action potentials and facilitates spectral analysis. A spike density function (SDF) is generated from the denoised signal by replacing the detected action potentials with delta functions and convolving with a 3 Hz Gaussian filter. This method was validated using data from a sinusoidal neck suction (NS) experiment in humans. The results of the analysis indicate that the oscillations of sympathetic nerve firings closely followed the NS frequency. In conclusion, the SDF representation allows for a novel and insightful analysis of spectral components of action potential trains in raw MSNA.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"457-460"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166808","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166851
P. Marcheschi, M. Lombardi, A. Mazzarisi, R. Testa, A. Pingitore, A. Benassi, P. Marraccini
Aim of the study was to assess a new method to followup patients with angiographically documented coronary artery disease (CAD), by noninvasive MRI angiography. The method is based on 3D reconstruction of planar cineangiographic images. It is addressed to expand informative content and to extract data from conventional 2D-images, aiming to guide and optimize the use of magnetic resonance for coronary artery visualization. The preliminary tests have shown that it is possible to obtain a fast MRI localization of peripheral coronary segments due to a more precise target volume of scan. This could overcome some limits of MRI examination of coronary tree and expands the use of noninvasive MRI technique in CAD follow-up.
{"title":"3D navigator for localization of peripheral coronary segments by magnetic resonance imaging angiography","authors":"P. Marcheschi, M. Lombardi, A. Mazzarisi, R. Testa, A. Pingitore, A. Benassi, P. Marraccini","doi":"10.1109/CIC.2002.1166851","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166851","url":null,"abstract":"Aim of the study was to assess a new method to followup patients with angiographically documented coronary artery disease (CAD), by noninvasive MRI angiography. The method is based on 3D reconstruction of planar cineangiographic images. It is addressed to expand informative content and to extract data from conventional 2D-images, aiming to guide and optimize the use of magnetic resonance for coronary artery visualization. The preliminary tests have shown that it is possible to obtain a fast MRI localization of peripheral coronary segments due to a more precise target volume of scan. This could overcome some limits of MRI examination of coronary tree and expands the use of noninvasive MRI technique in CAD follow-up.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"629-632"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166851","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62182135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166853
G. A. L'Abbate, C. Carpeggiani, C. Marchesi, A. L'Abbate
We have developed a system that integrates, through a virtual 3D-dynamic heart model, all the pertinent clinical and instrumental information obtained for patients hospitalized for suspected or documented ischemic heart disease (IHD). In the present study we retrospectively compared the diagnosis formulated by the cardiologist in the discharge record with that automatically provided by the system. Divergences were found in 27% of the 110 patients studied and classified into four types: I) inability of the system to provide the correct diagnosis because of the lack of pertinent diagnostic parameters in the model (3%), a cardiologist's diagnosis which was either II) not supported by objective data (3%), III) in conflict with the available information (10%), or IV) incomplete (11%). An experimental trial has been started in which the cardiologist in charge of the patient uses the automatic system during the diagnostic process and compilation of the discharge report.
{"title":"On-line integration of cardiological data to support medical decision making in patients with ischemic heart disease","authors":"G. A. L'Abbate, C. Carpeggiani, C. Marchesi, A. L'Abbate","doi":"10.1109/CIC.2002.1166853","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166853","url":null,"abstract":"We have developed a system that integrates, through a virtual 3D-dynamic heart model, all the pertinent clinical and instrumental information obtained for patients hospitalized for suspected or documented ischemic heart disease (IHD). In the present study we retrospectively compared the diagnosis formulated by the cardiologist in the discharge record with that automatically provided by the system. Divergences were found in 27% of the 110 patients studied and classified into four types: I) inability of the system to provide the correct diagnosis because of the lack of pertinent diagnostic parameters in the model (3%), a cardiologist's diagnosis which was either II) not supported by objective data (3%), III) in conflict with the available information (10%), or IV) incomplete (11%). An experimental trial has been started in which the cardiologist in charge of the patient uses the automatic system during the diagnostic process and compilation of the discharge report.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"637-640"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166853","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62182188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166734
A. Ripoli, M. Emdin, C. Passino, L. Zyw
The analysis of time series measured from nonlinear signals, may be performed either in the phase space or in the tie-domain. The Largest Lyapunov Exponent (LLE) characterises exponential divergence of trajectories in the phase space; fractal analysis is able to describe the complex pattern of a given time series. To evaluate the relation between the dynamic behavior and pattern complexity of the inherent biological system, RR-interval sequences were derived from 24-hour Holter recordings performed in 55 healthy subjects (37/spl plusmn/4 years, 34 males). Pattern fractal analysis (PFD) was computed on the basis of the measured length and diameter of the signal pattern. and LLE was evaluated by the Wolf algorithm. For each subject, the linear regression between computed PFD and LLE measures over the 24-hour period has been computed, extracting the correlation coefficient and the slope of the PFD vs. LLE relation. The strongest linear correlation between LLE and PFD indicates a light link between the system dynamics and the pattern of the extracted signals. This link suggests the possibility of a direct evaluation of nonlinear dynamics, even over short time intervals, exploiting the computationally less expensive PFD.
{"title":"Pattern complexity and nonlinear dynamics in RR-sequences","authors":"A. Ripoli, M. Emdin, C. Passino, L. Zyw","doi":"10.1109/CIC.2002.1166734","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166734","url":null,"abstract":"The analysis of time series measured from nonlinear signals, may be performed either in the phase space or in the tie-domain. The Largest Lyapunov Exponent (LLE) characterises exponential divergence of trajectories in the phase space; fractal analysis is able to describe the complex pattern of a given time series. To evaluate the relation between the dynamic behavior and pattern complexity of the inherent biological system, RR-interval sequences were derived from 24-hour Holter recordings performed in 55 healthy subjects (37/spl plusmn/4 years, 34 males). Pattern fractal analysis (PFD) was computed on the basis of the measured length and diameter of the signal pattern. and LLE was evaluated by the Wolf algorithm. For each subject, the linear regression between computed PFD and LLE measures over the 24-hour period has been computed, extracting the correlation coefficient and the slope of the PFD vs. LLE relation. The strongest linear correlation between LLE and PFD indicates a light link between the system dynamics and the pattern of the extracted signals. This link suggests the possibility of a direct evaluation of nonlinear dynamics, even over short time intervals, exploiting the computationally less expensive PFD.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"169-172"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166734","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166737
P. Negrini, P. Tomassini, G. Cella, M. Magrini, M. Ercolani, A. Mazzarisi, V. Gemignani, A. Ciampa, P. Marcheschi, P. Marraccini
The evaluation of the ventricular function has a key role in determining therapy and prognosis in patients with heart disease. The standard analysis is limited to quantification of tele-diastolic and tele-systolic frames. An analysis of wall kinetic in each frame of cardiac cycle might allow further information about contractility and diastolic function. The developed algorithms are aimed to achieve an automatic detection of left ventricular wall kinetic during a cardiac cycle in routine clinical activity.
{"title":"Automatic border detection through a cardiac cycle to analyze left ventricular function","authors":"P. Negrini, P. Tomassini, G. Cella, M. Magrini, M. Ercolani, A. Mazzarisi, V. Gemignani, A. Ciampa, P. Marcheschi, P. Marraccini","doi":"10.1109/CIC.2002.1166737","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166737","url":null,"abstract":"The evaluation of the ventricular function has a key role in determining therapy and prognosis in patients with heart disease. The standard analysis is limited to quantification of tele-diastolic and tele-systolic frames. An analysis of wall kinetic in each frame of cardiac cycle might allow further information about contractility and diastolic function. The developed algorithms are aimed to achieve an automatic detection of left ventricular wall kinetic during a cardiac cycle in routine clinical activity.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"181-183"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166737","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166740
A. Pednekar, I. A. Kadadiaris, R. Muthupillai, S. Flamm
The routinely used clinical practice of manual tracing of the blood pool from short axis cine MR images to compute ejection fraction (EF) is cumbersome, time consuming, and operator dependent. In this paper we present an algorithm that automatically segments the left ventricle (LV) using the a priori knowledge of the intensity responses of the tissue in different MR modalities, along with the LV morphology. Our method for the automatic computation of the EF is based on segmenting the left ventricle by combining the fuzzy connectedness and the physics-based deformable model frameworks. We have validated our method against manual delineation performed by experienced radiologists on the data from nine asymptomatic volunteers with very encouraging results.
{"title":"Knowledge-guided automatic segmentation of the left ventricle from MR","authors":"A. Pednekar, I. A. Kadadiaris, R. Muthupillai, S. Flamm","doi":"10.1109/CIC.2002.1166740","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166740","url":null,"abstract":"The routinely used clinical practice of manual tracing of the blood pool from short axis cine MR images to compute ejection fraction (EF) is cumbersome, time consuming, and operator dependent. In this paper we present an algorithm that automatically segments the left ventricle (LV) using the a priori knowledge of the intensity responses of the tissue in different MR modalities, along with the LV morphology. Our method for the automatic computation of the EF is based on segmenting the left ventricle by combining the fuzzy connectedness and the physics-based deformable model frameworks. We have validated our method against manual delineation performed by experienced radiologists on the data from nine asymptomatic volunteers with very encouraging results.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"193-196"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166784
S. Corney, P. Johnston, D. Kilpatrick
Numerical modelling of the coronary tree is well established. Solutions of the Navier-Stokes equations can produce wall shear stress distributions which can be used to correlate the position of shear stress distribution with coronary artery disease. We have previously demonstrated a technique for reconstructing a single branch of the coronary tree. The introduction of junctions into the model allows for accurate reconstruction of potentially the entire arterial tree. However the introduction of a realistic junction has proven to be difficult. A four section method for branching has been adopted, utilising three tubular segments and a small junction section as the join. This allows for automatic generation of the majority of the artery (the tubes), and a semi-automated procedure concentrating specifically on the junction. A structured mesh is used for the tubes, allowing for easy generation and improved computation time, whilst an unstructured mesh is used to accurately model the irregular shape of the junction. The four section method allows for easy insertion of more branches, depending on the level of detail required. Another advantage is that as time evolves, inducing conformational changes throughout the cardiac cycle, the tubes can be regenerated, whilst the junction needs only slight modification. Marked changes are induced in wall shear stress by either adding extra junctions to an arterial tree, or altering the shape of major branches.
{"title":"Modelling blood flow in coronary arteries with junctions","authors":"S. Corney, P. Johnston, D. Kilpatrick","doi":"10.1109/CIC.2002.1166784","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166784","url":null,"abstract":"Numerical modelling of the coronary tree is well established. Solutions of the Navier-Stokes equations can produce wall shear stress distributions which can be used to correlate the position of shear stress distribution with coronary artery disease. We have previously demonstrated a technique for reconstructing a single branch of the coronary tree. The introduction of junctions into the model allows for accurate reconstruction of potentially the entire arterial tree. However the introduction of a realistic junction has proven to be difficult. A four section method for branching has been adopted, utilising three tubular segments and a small junction section as the join. This allows for automatic generation of the majority of the artery (the tubes), and a semi-automated procedure concentrating specifically on the junction. A structured mesh is used for the tubes, allowing for easy generation and improved computation time, whilst an unstructured mesh is used to accurately model the irregular shape of the junction. The four section method allows for easy insertion of more branches, depending on the level of detail required. Another advantage is that as time evolves, inducing conformational changes throughout the cardiac cycle, the tubes can be regenerated, whilst the junction needs only slight modification. Marked changes are induced in wall shear stress by either adding extra junctions to an arterial tree, or altering the shape of major branches.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"363-366"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166784","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166785
J. Petersen, M. Petersen, A. Lauk, V. Brand, F. Neumann
In this newly developed software, the anatomical variation of the three-dimensional coronary vessel system can be recreated. A few mouse clicks are sufficient to reproduce an anatomically correct model of the patients own coronary artery system with respect to vessel size and number. The localization, the severity and type of stenosis can be entered, as well as grafts and stents. Through the use of anatomically accurate visual representations of coronary anatomy, the transfer of complex coronary angiography information between operators, cardiologists, and surgeons is enhanced and expedited.
{"title":"New data acquisition using variable graphic display of the coronary vessel anatomy for rapid and easy creation of angiography reports","authors":"J. Petersen, M. Petersen, A. Lauk, V. Brand, F. Neumann","doi":"10.1109/CIC.2002.1166785","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166785","url":null,"abstract":"In this newly developed software, the anatomical variation of the three-dimensional coronary vessel system can be recreated. A few mouse clicks are sufficient to reproduce an anatomically correct model of the patients own coronary artery system with respect to vessel size and number. The localization, the severity and type of stenosis can be entered, as well as grafts and stents. Through the use of anatomically accurate visual representations of coronary anatomy, the transfer of complex coronary angiography information between operators, cardiologists, and surgeons is enhanced and expedited.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"367-368"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62180913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-09-22DOI: 10.1109/CIC.2002.1166774
A. Smrdel, F. Jager
Using the Long-Term ST Database, we developed and evaluated an advanced algorithm for automated detection of transient ST segment episodes in "real-world" 24-hour ambulatory data. To successfully detect transient ST change episodes, the algorithm automatically tracks the time-varying ST segment reference level due to clinically not important non-ischemic causes and subtracts it from the ST segment level. Evaluating of the algorithm using reference annotations of the protocol B of the database yielded gross ST episode detection sensitivity and positive predictivity of approximately 75%.
{"title":"Advanced detection of ST segment episodes in 24-hour ambulatory ECG data by automated tracking of transient ST segment reference level","authors":"A. Smrdel, F. Jager","doi":"10.1109/CIC.2002.1166774","DOIUrl":"https://doi.org/10.1109/CIC.2002.1166774","url":null,"abstract":"Using the Long-Term ST Database, we developed and evaluated an advanced algorithm for automated detection of transient ST segment episodes in \"real-world\" 24-hour ambulatory data. To successfully detect transient ST change episodes, the algorithm automatically tracks the time-varying ST segment reference level due to clinically not important non-ischemic causes and subtracts it from the ST segment level. Evaluating of the algorithm using reference annotations of the protocol B of the database yielded gross ST episode detection sensitivity and positive predictivity of approximately 75%.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"325-328"},"PeriodicalIF":0.0,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166774","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62181167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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