DocumentCode
3307319
Title
A new approach to transforming time series into symbolic sequences
Author
Ou-Yang, Kai ; Jia, Wenyan ; Zhou, Ping ; Meng, Xin
Author_Institution
Dept. of Biomed. Eng., Capital Univ. of Med. Sci ., Beijing, China
Volume
2
fYear
1999
fDate
36434
Abstract
Time series analysis is difficult to understand. But when they are transformed into symbolic sequences, it will be more easily to find out some rules. Symbolic sequence may represent the dynamic behavior of some chaotic systems. We propose a new approach to transform time series into symbolic sequences, which can maintain most of the information included in time series. We also give an example of its application
Keywords
chaos; electrocardiography; medical signal processing; sequences; time series; chaotic systems; dynamic behavior; electrocardiograph signals; symbolic sequences; time series analysis; Biomedical engineering; Chaos; Data mining; Electroencephalography; Epilepsy; Signal analysis; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804128
Filename
804128
Link To Document