Abstract
This paper presents synthesis of Electrocardiogram (ECG) leads from reduced set of leads. The Singular Value Decomposition (SVD) is used to train subject-specific all desired leads for minimum of three beat periods. Then, in the testing phase, only 3-leads are used to reconstruct all other leads. The singular value matrix of the reduced 3-lead data is transformed to a higher dimension using a transform matrix. For evaluation purpose, the proposed method is applied to a publicly available database. It contains number of 12-lead ECG recordings with different cardiac patients data. After synthesis of ECG data, the performance of the method is measured using percent correlation present between the original and synthesized data.
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Padhy, S., Dandapat, S. (2015). SVD Analysis on Reduced 3-Lead ECG Data. In: Bora, P., Prasanna, S., Sarma, K., Saikia, N. (eds) Advances in Communication and Computing. Lecture Notes in Electrical Engineering, vol 347. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2464-8_22
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DOI: https://doi.org/10.1007/978-81-322-2464-8_22
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