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Reconstruction of ECG precordial leads by PCA and neural networks
- Source :
- IFMBE Proceedings ISBN: 9783642293047
- Publication Year :
- 2013
-
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.
- Subjects :
- Artificial neural network
Computer science
business.industry
ECG
Neural Network
Pattern recognition
Data_CODINGANDINFORMATIONTHEORY
Precordial examination
Spectra
Precordial Lead
ComputingMethodologies_PATTERNRECOGNITION
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Ecg lead
Artificial intelligence
Reconstruction
business
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-642-29304-7
- ISBNs :
- 9783642293047
- Database :
- OpenAIRE
- Journal :
- IFMBE Proceedings ISBN: 9783642293047
- Accession number :
- edsair.doi.dedup.....6f5a7bb93a979b9d30035d0a63dc3763