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

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1003

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579417

Filename

579417