The paper describes possibilities of simplifying the measurement set-up for ECG recordings, by reducing the number of leads. The study proposes a technique to reduce the number of measurements or to reconstruct ECG leads by neural networks. The results are encouraging and show how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstruction ECG precordial leads and the algorithm of reconstruction.
Prauzek, M., Peterek, T., Conforto, S. (2013). Reconstruction of ECG precordial leads by PCA and neural networks. In IFMBE Proceedings (pp.414-417) [10.1007/978-3-642-29305-4_110].
Reconstruction of ECG precordial leads by PCA and neural networks
CONFORTO, SILVIA
2013-01-01
Abstract
The paper describes possibilities of simplifying the measurement set-up for ECG recordings, by reducing the number of leads. The study proposes a technique to reduce the number of measurements or to reconstruct ECG leads by neural networks. The results are encouraging and show how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstruction ECG precordial leads and the algorithm of reconstruction.File in questo prodotto:
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