Title :
A new segmentation method of synchronized sympathetic nerve activity
Author :
Okamura, Shigenori ; Yonezawa, Yoshiharu ; Ninomiya, Ishio
Author_Institution :
Dept. of Electron. Eng., Hiroshima Inst. of Technol., Japan
Abstract :
A method of segmenting synchronized sympathetic nerve activity has been developed for cardiovascular neural control research. The segmentation algorithm consists of three signal processing techniques which involve: (1) extracting an approximate region containing synchronized sympathetic nerve activity, (2) separating individual neural spikes from recorded compound nerve activity and (3) detecting the onset and end of each synchronized neural signals. By this process, the algorithm can precisely segment synchronized sympathetic nerve activity
Keywords :
biocontrol; bioelectric potentials; cardiology; medical signal processing; neurophysiology; algorithm; cardiovascular neural control research; individual neural spikes separation; recorded compound nerve activity; segmentation method; signal processing techniques; synchronized neural signals onset; synchronized sympathetic nerve activity; Animals; Biomedical signal processing; Cardiology; Clustering algorithms; Frequency synchronization; Histograms; Physiology; Signal processing; Signal processing algorithms; Telemetry;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579417
