Wireless Vectorcardiogram system optimization using adaptive signal processing

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.