DocumentCode :
3417869
Title :
Pulse wave signal baseline wander elimination using morphology
Author :
Gu, Zheng-Gang ; Yun Gao ; Liu, Li-Yan ; Chen Chen
Author_Institution :
Dept. of Comput. Eng., Jiangsu Coll. of Inf. Technol., Wuxi, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
74
Lastpage :
77
Abstract :
Pulse wave signals contain a large number of physiological and pathological information of people. The analysis of them is an important method to diagnose the status of sub-health. When pulse wave signals are detected from body respiration, they may be frequently corrupted due to the baseline wander. It will lead to serious effect on the analysis and the processing of signals in further steps. In order to remove the baseline wander, this paper proposes a morphological Altering approach in mathematical morphology by combining open-closing and close-opening operations with different size structuring elements. The experimental results have shown that this approach can effectively and instantly eliminate baseline wander in pulse wave signals.
Keywords :
electrocardiography; mathematical morphology; medical signal detection; medical signal processing; body respiration; different size structuring elements; mathematical morphology; morphological altering approach; pathological information; physiological information; pulse wave signal baseline wander elimination; pulse wave signals; signal detection; signal processsing; Adaptive filters; Filtering algorithms; Morphology; Noise; Noise reduction; Shape; Signal processing algorithms; baseline wander; morphology; pulse wave signal; structuring element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656664
Filename :
5656664
Link To Document :
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