Title :
Nonlinear detection of T-wave alternans
Author_Institution :
Dept. of Biomed. Eng. & Comput. Sci., Helsinki Univ. of Technol., Helsinki
Abstract :
Automatic detection of T-wave alternans (TWA) is the PhysioNet/Computer in Cardiology Challenge 2008. The method presented in this paper is based on combination of linear and rank statistics.
Keywords :
bioelectric phenomena; cardiology; medical signal detection; AD 2008; Computer in Cardiology Challenge; PhysioNet; T-wave alternans; automatic detection; nonlinear detection; Algorithm design and analysis; Cardiology; Databases; Electrocardiography; Noise level; Phase detection; Phase noise; Signal processing algorithms; Signal to noise ratio; Spline;
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-3706-1
DOI :
10.1109/CIC.2008.4749155
