Title :
Signal quality classification for an ambulatory monitoring system
Author :
Fu, Yongji ; Bryan, Hallberg S. ; Yang, Isaac ; Lai, Kyle
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627482
