Wireless iVCG optimization using a least-squares fit

Author

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

Author_Institution

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

fYear

2015

fDate

13-15 April 2015

Firstpage

1

Lastpage

3

Abstract

We are designing an integrated wireless Vectorcardiogram (iVCG) that is portable and placed on the chest of the patient and is capable of recording and transmitting cardiac rhythm signals. We present a solution to the problem of transforming the three VCG component signals to the familiar 12-lead ECG for the convenience of cardiologists. The least squares (LS) method is employed on the VCG signals and the reference (training) orthogonal ECG subset (leads I, aVF and V2) to obtain a 3×3 transformation matrix to generate the real-time ECG signals from the VCG signals. In future, we will apply this method to obtain all 12 leads of the 12-lead ECG. With this capability, the iVCG may become a truly transformative wireless medical device enabling continuous (24×7) cardiac diagnosis.

Keywords

bioelectric potentials; biomedical equipment; electrocardiography; least squares approximations; medical signal processing; optimisation; 12-lead ECG; LS method; VCG component signals; cardiac rhythm signal recording; cardiac rhythm signal transmission; continuous cardiac diagnosis; integrated wireless vectorcardiogram; least squares method; transformation matrix; transformative wireless medical device; wireless iVCG optimization; Biomedical monitoring; Electrocardiography; Indexes; Lead; Medical services; Monitoring; Out of order; Cardiac Rhythm Monitoring (CRM); ECG; Vectorcardiogram (VCG); adaptive filtering; least-squares method; wireless medical device;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Microwave Technology Conference (WAMICON), 2015 IEEE 16th Annual

Conference_Location

Cocoa Beach, FL

Type

conf

DOI

10.1109/WAMICON.2015.7120391

Filename

7120391