Title :
Partial linear transformation of vectorcardiogram to 12 lead electrocardiogram signals
Author :
Mehridehnavi, A. ; Salehpour, N. ; Rabbani, Hossein ; Behjati, Mohammadreza
Author_Institution :
Dept. of Med. Phys. & Eng., Isfahan Univ. of Med. Sci., Isfahan, Iran
Abstract :
The ability to transform orthogonal 3-lead Vector-cardiogram (VCG) to 12-lead Electrocardiogram (ECG) enables the use of fewer leads for computer visualization, signal analysis and wireless transmission of signals. This can also improve mobility, albeit limited, to the patients. We presented a least square (LS)-based approach to transform 3-lead Frank VCG to 12-lead ECG signals and vice versa, using partial linear transformation. Also our partial linear transformation function would be compared with Dower and affine transformation functions. The VCG and ECG signals of 40 healthy persons are acquired in this study. The results show that for healthy subjects, our partial linear LS method that is maps 3-lead VCG to12-lead ECG more accurately than both Dower and affine transformations of the ECG recordings.
Keywords :
affine transforms; electrocardiography; least squares approximations; medical signal processing; 12 lead electrocardiogram signals; 3-lead Frank VCG transform; Dower transformation functions; ECG recordings; ECG signals; VCG signals; affine transformation functions; computer visualization; least square-based approach; orthogonal 3-lead vectorcardiogram; partial linear LS method; partial linear transformation; partial linear transformation function; signal analysis; wireless signal transmission; Educational institutions; Electrocardiography; Heart; Medical diagnostic imaging; Standards; Transforms; ECG; VCG; least square estimation method; partial linear transformation;
Conference_Titel :
Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4673-4357-2
DOI :
10.1109/BIBE.2012.6399713