DocumentCode
2945459
Title
Signal quality classification for an ambulatory monitoring system
Author
Fu, Yongji ; Bryan, Hallberg S. ; Yang, Isaac ; Lai, Kyle
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
174
Lastpage
177
Abstract
A signal quality classification algorithm is presented to evaluate signal quality in ambulatory monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be eliminated to avoid wrong conclusions and instructions in the ambulatory system.
Keywords
acoustic signal processing; medical signal processing; patient monitoring; signal classification; acoustic based signal; ambulatory monitoring system; good signal; noisy signal; signal quality classification algorithm; weak signal; Classification algorithms; Correlation; Feature extraction; Heart rate; Monitoring; Noise; Noise measurement; Algorithms; Artifacts; Humans; Monitoring, Ambulatory; Reproducibility of Results; Signal Processing, Computer-Assisted;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5627482
Filename
5627482
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