DocumentCode :
636293
Title :
Analysis and modeling of noise in biomedical systems
Author :
Ranjbaran, Mina ; Jalaleddini, Kian ; Lopez, David Garrido ; Kearney, Robert E. ; Galiana, Henrietta L.
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
997
Lastpage :
1000
Abstract :
Noise characteristics play an important role in evaluating tools developed to study biomedical systems. Despite usual assumptions, noise in biomedical systems is often nonwhite or non-Gaussian. In this paper, we present a method to analyze the noise component of a biomedical system. We demonstrate the effectiveness of the method in the analysis of noise in voluntary ankle torque measured by a torque transducer and eye movements measured by electro-oculography (EOG).
Keywords :
biomechanics; biomedical measurement; electro-oculography; eye; random noise; torque measurement; EOG; biomedical system noise; electrooculography; eye movements; noise analysis; noise characteristics; noise modeling; nonGaussian noise; nonwhite noise; torque transducer; voluntary ankle torque; Biological system modeling; Electrooculography; Harmonic analysis; Histograms; Noise; Time-frequency analysis; Torque; Ankle Joint; Artifacts; Biomedical Technology; Darkness; Electronics, Medical; Electrooculography; Humans; Models, Theoretical; Stochastic Processes; Time Factors; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609671
Filename :
6609671
Link To Document :
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