Title :
Using tele-medical electrocardiography monitoring and analysis for a more immediate prognosis to patients of suspect Long QT Syndrome
Author :
Tat, Thomas Ho Chee ; Xiang, Chen
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
Currently Long QT Syndrome (LQTS) is diagnosed by using the Long QT Syndrome “diagnostic score”. Calculation of the score is done by assigning different points to various criteria. The answers to the criteria are often hard to obtain as they require lengthy periods of cardiac observations. And even after the scores are obtain, only a percentage of certainty is obtained. Diagnosis of LQTS is often hard as 2.5% of the healthy population has prolonged QT interval. Conversely, 10-15% of LQTS patients have normal QT intervals. In this paper an approach to prognose a patient suspect of LQTS is proposed. It involves monitoring the QTc interval trend lines of the suspected patient. Through trend analysis, it seeks to discern the patients with LQTS from the healthy patients.
Keywords :
cardiovascular system; electrocardiography; patient diagnosis; patient monitoring; telemedicine; LQTS diagnosis; cardiac observations; diagnostic score; long QT syndrome; prolonged QT interval; telemedical electrocardiography monitoring; trend analysis; Artificial neural networks; Biomedical monitoring; Electrocardiography; Heart rate; Histograms; Monitoring; Sleep; Electrocardiography; Humans; Long QT Syndrome;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5625977