Title :
A new segmentation algorithm for detecting synchronized sympathetic nerve activity
Author :
Kuroda, Kousuke ; Yonezawa, Yoshiharu ; Ogawa, Hidekuni ; Ninomiya, Ishio
Author_Institution :
Dept. of Electron. Eng., Hiroshima Inst. of Technol., Japan
fDate :
29 Oct-1 Nov 1998
Abstract :
A computerized segmentation algorithm for detecting synchronized sympathetic nerve activity has been developed for cardiovascular neural control research. The algorithm consists of two signal processing techniques which involve: (1) discriminating a interval between onset and end of the synchronized sympathetic nerve activity from recorded compound action potentials and (2) separating individual synchronized sympathetic nerve activities by a cluster analysis. This algorithm can detect the synchronized sympathetic nerve activity automatically
Keywords :
bioelectric potentials; medical signal processing; neurophysiology; pattern clustering; signal classification; cardiovascular neural control research; cluster analysis; compound action potentials; computerized segmentation algorithm; frequency distribution histograms; grouped burst discharges; individual activities separation; interval discrimination; signal processing techniques; synchronized sympathetic nerve activity; Algorithm design and analysis; Cardiology; Clinical diagnosis; Clustering algorithms; Computer aided instruction; Signal analysis; Signal detection; Signal processing algorithms; Statistics; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747217
