The heart's chambers squeeze (contract) and relax to pump the blood. In a typical heart, the heart sends blood out to the body during each heartbeat. Long QT syndrome is a heart rhythm disorder caused by changes in the heart's electrical recharging system. They keep blood flowing in the right direction. The heart valves are gates at the chamber openings. The lower chambers, the more muscular right and left ventricles, pump blood out of the heart. The upper chambers, the right and left atria, receive incoming blood. Long QT syndrome can run in families.Ī typical heart has two upper and two lower chambers. If you have a parent, sibling or child with long QT syndrome, it's important to let your provider know. When to see a doctorĬall your health care provider if you suddenly faint during physical activity or emotional excitement or after taking any new medication. If the heart doesn't reset itself or if an external defibrillator isn't used in time to reset the heart rhythm, sudden death will occur. Generally, after a long QT episode, the heart returns to its typical rhythm. When the condition is present at birth (congenital long QT syndrome), symptoms may occur during the first weeks to months of life or later in childhood. Most people with symptoms of LQTS have their first episode by age 40. Symptoms of long QT syndrome sometimes occur during sleep. Long QT syndrome may also cause seizures in some people. Things that startle you - for example, a telephone or an alarm clock - can cause you to lose consciousness. You might faint when you're excited, angry or scared or during exercise. Some people have fainting warning signs first, including:įainting occurs when the heart temporarily beats in an unorganized way. A fainting spell from long QT syndrome can occur with little to no warning. The condition may be discovered when an electrocardiogram (ECG) or genetic testing is done for other reasons.įainting (syncope) is the most common symptom of long QT syndrome. Some people with long QT syndrome (LQTS) do not have any noticeable symptoms. Schader (Eds.) Data Analysis, Classification, and Related Methods, Springer-Verlag, Heidelberg: 387–394.Click here for an infographic to learn more
(2000) “A dynamical clustering algorithm for multi-nominal data”, in : H.A.L. (1997) “Self-validated numerical methods and applications”, in: Brazilian Mathematics Colloquium Monograph, IMPA, Rio de Janeiro, Brazil. (2003) “An introduction to affine arithmetic”, TEMA Tend. Thèse de Doctorat, Université Paris IX Dauphine, Paris, France.
(2000) Classification et Modèles Linéaires en Analyse des Données Symboliques. (2001) “Generalization of the principal component analysis to histogram data”, in: Workshop on Symbolic Data Analysis of the 4th European Conference on Principles and Practice of Knowledge Discovery in Data Bases, September 12-16, 2000, Lyon, France. Society for Industrial and Applied Mathematics (SIAM), Philadelphia PA. (1979) Methods and Applications of Interval Analysis. (2012) “Adaptation of interval PCA to symbolic histogram variables”, Advances in Data Analysis and Classification July 6(2): 147–159. Universitè de Montpellier, Montpellier, France. (1976) Structuration des Tableaux à Trois Indices de la Statistique. Lavit, Ch., (1988) Analyse Conjointe de Tableaux Quantitatifs.
(1994) “The ACT (STATIS) method”, Computational Statistics & Data Analysis 18: 97–119. (2001) “Principal component analysis of interval data: a symbolic data analysis approach”, Computational Statistics & Data Analysis 15(1): 73–87.
Trejos (Ed.) IX Simposio Métodos Matemáticos Aplicados a las Ciencias, UCR-ITCR, Turrialba. (1995) “Algoritmo e implementación del método STATIS”, in: J. Jolivet (Ed.) Biométrie et Temps, Société Française de Biométrie, Paris: 59–76. (1980) “L’analyse conjointe de plusieurs matrices de données”, in: M. (1987) “Introduction à l’approche symbolique en Analyse des Données”. (1997) “Extension de l’analyse en composantes principales à des données de type intervalle”, Rev. (2002) “Introduction to Interval Analysis”, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, pp. (2011) “Symbolic principal components for interval-valued observations”, Statistical Analysis and Data Mining 4(2), 229–246.Ĭaprani, O. John Wiley & Sons Ltd., United Kingdom.īillard, L. (2006) Symbolic Data Analysis: Conceptual Statistics and Data Mining. Sage, Thousand Oaks CA: 955–962.īillard, L. (2007) “The STATIS Method”, Neil Salkind (Ed.) Encyclopedia of Measurement and Statistics.
0 kommentar(er)
