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