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- W3030089837 abstract "Since their first clinical application by Mirowski in the 1980s, implantable eardioverter defibrillators(ICDs) has become an important choice of therapy for decreasing mortality in patients with high risk of life-threatening arrhythmias. However, the misclassifieation of the tachycardias is still a major problem among current ICDs. At present, many different rhythm discrimination algorithms, such as rate threshold, sudden onset, rate stability, morphological analysis, time-frequency analysis, neural networks, and covarianee-based algorithm,have been proposed to distinguish taehycardias. The cardiac rhythm detection algorithms and correlation waveform analysis are commonly used in ICDs as the detection methods, which are also the basis of other detection methods. With the development of the technology, some new algorithms, including artificial neural network, are expected to be applied in ICDs in the future.Key words: Implantable eardioverter defibrillators; Intraeardiac eleetrograms; Detection algorithms" @default.
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- W3030089837 date "2009-12-28" @default.
- W3030089837 modified "2023-10-04" @default.
- W3030089837 title "Detection algorithms for intracardiac electrograms in implantable cardioverter defibrillators" @default.
- W3030089837 doi "https://doi.org/10.3760/cma.j.issn.1673-4181.2009.06.008" @default.
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