Дисертації з теми "Arrhythmia"
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Walfridsson, Ulla. "Assessing Symptom Burden and Health-Related Quality of Life in patients living with arrhythmia and ASTA : Arrhythmia-Specific questionnaire in Tachycardia and Arrhythmia." Doctoral thesis, Linköpings universitet, Omvårdnad, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-71873.
Williams, Steven Edwin. "Characterisation and representation of arrhythmia substrates." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/characterisation-and-representation-of-arrhythmia-substrates(b591acfd-9ca4-45a0-a3b0-169128bac9d7).html.
Fischer, Lindsey Ann. "How Emotions Affect Respiratory Sinus Arrhythmia." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/579276.
Ware, James. "Genomic dissection of arrhythmia and cardiac electromechanics." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/39405.
Kehrle, Florian [Verfasser]. "Inverse simulation for cardiac arrhythmia / Florian Kehrle." Magdeburg : Universitätsbibliothek, 2018. http://d-nb.info/1160593698/34.
Soto-Freita, Angelica Marie. "Parent Predictors of Infant Respiratory Sinus Arrhythmia." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1628.
Labarge, Isaac E. "Neural Network Pruning for ECG Arrhythmia Classification." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2136.
Goetz, Paul W. "Worry, Respiratory Sinus Arrhythmia, and Health Behaviors." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1308552215.
Korhonen, Petri. "Magnetocardiography in assessment of ventricular arrhythmia risk." Helsinki : University of Helsinki, 2002. http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/korhonen/.
Ye, Yanping. "Designing New Drugs to Treat Cardiac Arrhythmia." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/638.
Glandberger, Oliver, and Daniel Fredriksson. "Neural Network Regularization for Generalized Heart Arrhythmia Classification." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19731.
Bakgrund: Arytmier är en samling hjärt-kärlsjukdomar som drabbar nästan hälften av världens befolkning och stod för ungefär 32,1% av alla dödsfall 2015. 90% av dödsfallen som arytmi orsakar kan förhindras om arytmin identifieras tidigare. Neurala nätverk har blivit ett populärt verktyg för att detektera arytmi baserat på ECG-data. I strävan på att uppnå bättre klassificeringsnogrannhet kan dessa nätverk råka ut för problemet ’overfitting’. Overfitting kan dock förebyggas med regulariseringstekniker. Problemställning: Praktiskt taget all forskning som utnyttjar neurala nätverk för att klassifiera arytmi innehåller någon form av regularisering. Dock har majoriteten av denna forsknings inte valt att fokusera och experimentera med regularisering. I den här avhandlingen kommer vi att testa olika regulariseringstekniker för att jämföra hur de förbättrar grundmodellens arytmiklassificeringsförmåga. Mål: Huvudmålet med denna avhandling är att modifiera ett neuralt nätverk som utnyttjar transfer learning för att klassificera arytmi baserat på två-dimensionell ECG-data. Grundmodellen utökades med olika regulariseringstekniker i mån om att jämföra dessa och därmed komma fram till vilken teknik som har störst positiv påverkan. De tekniker som jämfördes är L1, L2, L1 + L2, och Dropout. Metod: Kvantitativa experiment användes för att samla in data kring teknikernas olika prestationer och denna data analyserades och presenterades sedan. En litteraturstudie genomfördes med hjälp av Summon och Google Scholar för att hitta information från relevanta artiklar. Resultat: Forskningen tyder på att generellt sett presterar Dropout bättre än de andra teknikerna. Dropout med parametern 0.1 förbättrade mätvärderna mest. Slutsatser: I specifikt denna kontext presterade Dropout(0.1) bäst. Dock anser vi att falska negativ och falska positiv inte är ekvivalenta. Vissa modeller presterar bättre än andra beroende på hur mycket dessa variabler värderas, och därmed är den bästa modellen subjektiv. Är det till exempel värt att låta 11 personer dö om det innebär att 1651 personer inte kommer att vidare testas i onödan?
Long, Victor P. III. "Modulation of the Arrhythmia Substrate in Cardiovascular Disease." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459777728.
Chai, Shin Luen Chai. "Novel Genetic Modifiers in a Monogenic Cardiac Arrhythmia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1516618028568975.
Gray, Belinda Ruth. "Clinical and Genetic Studies in Inherited Arrhythmia Syndromes." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15994.
Lee, Ying-siu Andrew, and 李應紹. "Endogenous opioid peptides and cardiac arrhythmias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31231275.
Lee, Ying-siu Andrew. "Endogenous opioid peptides and cardiac arrhythmias /." [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12358812.
Kalla, Manish. "Mechanistic insights in the automatic modulation of ventricular arrhythmia." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.714086.
Kalla, Manish. "Mechanistic insights in the autonomic modulation of ventricular arrhythmia." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:019a87c7-322d-4d0b-befa-0da43378b13f.
Hibbert, Anita S. "Depression and anxiety : differing relationships to respiratory sinus arrhythmia." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43112.
Deshmane, Anagha Vishwas. "False arrhythmia alarm suppression using ECG, ABP, and photoplethysmogram." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54209.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 91-93).
A signal quality assessment scheme for the photoplethysmogram waveform recorded by a pulse oximeter has been created. The signal quality algorithm uses statistical methods on time-series and spectral analysis to locate high-frequency segments of the photoplethysmogram waveform. A photoplethysmogram pulse onset detector has been implemented for heart rate estimation. Application of the signal quality metric and photoplethysmogram pulse onset detector are demonstrated in an algorithm which suppresses false electrocardiogram critical arrhythmia alarms issued by bedside monitors in hospital intensive care units.
by Anagha Vishwas Deshmane.
M.Eng.
Ives, Rachel Ayn. "Respiratory Sinus Arrhythmia as a Function of Cognitive Attention." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/297655.
Zhu, Chenhong. "New insight into models of cardiac caveolae and arrhythmia." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1945.
Zhou, Yuan. "Ionic mechanisms of chloroform-induced cardiac arrhythmias." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43085325.
Xu, Weichao. "Real time detection of supraventricular arrhythmias /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?
Tie, Hii Hui Clinical School St Vincents UNSW. "Cellular mechanisms of QT prolongation and proarrhythmia induced by non-antiarrhythmic drugs." Awarded by:University of New South Wales. Clinical School - St. Vincents, 2002. http://handle.unsw.edu.au/1959.4/19035.
Lesiuk, Veronika. "Respiratory sinus arrhythmia : interaction of breathing frequency and heart rate changes." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81356.
徐維超 and Weichao Xu. "Real time detection of supraventricular arrhythmias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31243848.
Abrams, Dominic James Richard. "Mechanisms and mapping of arrhythmia rate after the Fontan procedure." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497623.
Finlay, M. "Interactions between activation and repolarisation in predisposition towards cardiac arrhythmia." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1429926/.
Patel, Nehal Jaymish. "Novel Pathways for the Regulation of Cardiac Fibrosis and Arrhythmia." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586891209137927.
Schredelseker, Johann [Verfasser]. "Targeting cardiac arrhythmia by enhancing mitochondrial calcium uptake / Johann Schredelseker." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1221960741/34.
Wolf, Roseanne Marie. "Defining new insight into fatal human arrhythmia: a mathematical analysis." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3013.
Metcalf, Robert Glenn. "Strategies for increasing consumption of N-3 polyunsaturated fatty acids and their effects on cardiac arrhythmias in humans." Title page, table of contents and abstract only, 2003. http://web4.library.adelaide.edu.au/theses/09PH/09phm5885.pdf.
Betts, Timothy Rider. "Atrial architecture and electrical activation." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288446.
Martin, Claire Adriana. "Mechanisms of arrhythmogenesis in a murine model of Brugada syndrome." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648347.
Liu, Pak-yin Anthony, and 廖柏賢. "Genetic counseling in sudden arrhythmia death syndrome : the science and the art." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/196059.
published_or_final_version
Paediatrics and Adolescent Medicine
Master
Master of Medical Sciences
Matthews, Gareth David Kingsley. "The rate-dependence of pro-arrhythmic properties in murine SCN5A+/- hearts modeling the Brugada syndrome." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648741.
Reddy, Mairi Helen. "Beta adrenergic function in acute myocardial ischaemia." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/19257.
Scott, Adrienne S. "Comparison of respiratory sinus arrhythmia integration in athletes and non-athletes." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33924.
Petchdee, Soontaree. "Arrhythmia mechanisms in acute ischaemia and chronic infarction in rabbit heart." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1327/.
Condy, Emma Elizabeth. "Respiratory Sinus Arrhythmia and Restricted Repetitive Behaviors in Autism Spectrum Disorder." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/78124.
Master of Science
Bernhardt, Madison Nicole. "Reinterpretation of Genetic Variants from a Cohort of Pediatric Arrhythmia Patients." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523624250940948.
Sheikh, Abdul Kadir Siti Hamimah. "Molecular mechanisms for fetal cardiac arrhythmia in intrahepatic cholestasis of pregnancy." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6164.
Raphisak, Pisut. "Study of the Kalman filter for arrhythmia detection with intracardiac electrograms." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1098.
Title from document title page. Document formatted into pages; contains viii, 143 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. [80]-85).
Martins, Jose L. M. G. "A Rapid Access Arrhythmia Clinic for the Diagnosis and Management of Incident Atrial Fibrillation and Other Cardiac Arrhythmias : The Imperial College New Atrial Fibrillation Study." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520897.
Zhou, Yuan, and 周嫄. "Ionic mechanisms of chloroform-induced cardiac arrhythmias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43085325.
Hörnsten, Rolf. "Cardiac arrhythmias and heart rate variability in familial amyloidotic polyneuropathy : a clinical study before and after liver transplantation /." Umeå : Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1407.
Lopes, Philippe. "The relationships between respiratory sinus arrhythmia and coronary heart disease risk factors." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287137.
Fiore, Paul Vincent. "Interaction of cocaine and sprint-training on ventricular arrhythmia in the rat /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487588939087915.
Montazeri, Ghahjaverestan Nasim. "Early detection of cardiac arrhythmia based on Bayesian methods from ECG data." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S061/document.
Apnea-bradycardia episodes (breathing pauses associated with a significant fall in heart rate) are the most common disease in preterm infants. Consequences associated with apnea-bradycardia episodes involve a compromise in oxygenation and tissue perfusion, a poor neuromotor prognosis at childhood and a predisposing factor to sudden-death syndrome in preterm newborns. It is therefore important that these episodes are recognized (early detected or predicted if possible), to start an appropriate treatment and to prevent the associated risks. In this thesis, we propose two Bayesian Network (BN) approaches (Markovian and Switching Kalman Filter) for the early detection of apnea bradycardia events on preterm infants, using different features extracted from electrocardiographic (ECG) recordings. Concerning the Markovian approach, we propose new frameworks for two generalizations of the classical Hidden Markov Model (HMM). The first framework, Coupled Hidden Markov Model (CHMM), is accomplished by assigning a Markov chain (channel) to each dimension of observation and establishing a coupling among channels. The second framework, Coupled Hidden semi Markov Model (CHMM), combines the characteristics of Hidden semi Markov Model (HSMM) with the above-mentioned coupling concept. For each framework, we present appropriate recursions in order to use modified Forward-Backward (FB) algorithms to solve the learning and inference problems. The proposed learning algorithm is based on Maximum Likelihood (ML) criteria. Moreover, we propose two new switching Kalman Filter (SKF) based algorithms, called wave-based and R-based, to present an index for bradycardia detection from ECG. The wave-based algorithm is established based on McSarry's dynamical model for ECG beat generation which is used in an Extended Kalman filter algorithm in order to detect subtle changes in ECG sample by sample. We also propose a new SKF algorithm to model normal beats and those with bradycardia by two different AR processes