Wireless Vectorcardiogram system optimization using adaptive signal processing

Author

Perumalla, Calvin A. ; Arrobo, Gabriel E. ; Ketterl, Thomas P. ; Gitlin, Richard D. ; Fabri, Peter J.

Author_Institution

Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA

fYear

2014

fDate

8-10 Dec. 2014

Firstpage

1

Lastpage

3

Abstract

We are designing an integrated wireless Vectorcardiogram (iVCG) that is of diagnostic quality, extremely small form factor, and is placed on the chest of the patient. In this paper, we consider the problem of transforming the three VCG component signals to the familiar 12-lead ECG for the convenience of cardiologists. We used an adaptive signal processing technique to obtain an ECG signal from the VCG measurements. The least mean-square (LMS) adaptive algorithm is employed to obtain the optimum 12×3 transformation matrix by minimizing the overall mean-square-error between the reference ECG (that is present during VCG configuration) signal and the ECG signal derived from the VCG. With this capability, the iVCG may become a truly transformative wireless medical device enabling continuous cardiac diagnosis.

Keywords

adaptive signal processing; electrocardiography; least mean squares methods; medical signal processing; minimisation; LMS adaptive algorithm; VCG component signals; VCG derived ECG signal; adaptive signal processing technique; continuous cardiac diagnosis; diagnostic quality iVCG; extremely small iVCG form factor; iVCG optimization; integrated wireless vectorcardiogram; least mean square adaptive algorithm; mean square error; overall MSE minimisation; reference ECG signal; transformation matrix; twelve lead ECG signals; Adaptive signal processing; Electrocardiography; Heart; Least squares approximations; Medical diagnostic imaging; Vectors; Wireless communication; Adaptive Filtering; ECG; LMS algorithm; Vectorcardiogram (VCG); wireless medical device;

fLanguage

English

Publisher

ieee

Conference_Titel

RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio), 2014 IEEE MTT-S International Microwave Workshop Series on

Conference_Location

London

Print_ISBN

978-1-4799-5445-2

Type

conf

DOI

10.1109/IMWS-BIO.2014.7032436

Filename

7032436