Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks
| Parent link: | Biomedical Engineering.— , 1967- Vol. 50, iss. 6.— 2017.— [P. 371–375] |
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| Autor Principal: | |
| Autor Corporativo: | |
| Outros autores: | |
| Summary: | Title screen This article presents a nonlinear dynamics model for discriminating the sources of the maternal abdominal elec-trocardiogram (aECG). The coefficients of the separating matrix were determined by training a neural network. This method provides efficient extraction of the fetal electrocardiogram (fECG) independently of the choice of recording point, input signal duration, or number of independent leads. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | inglés |
| Publicado: |
2017
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| Subjects: | |
| Acceso en liña: | http://dx.doi.org/10.1007/s10527-017-9658-y |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654338 |
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| 200 | 1 | |a Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks |f D. V. Devyatykh, O. M. Gerget | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 375 (14 tit.)] | ||
| 330 | |a This article presents a nonlinear dynamics model for discriminating the sources of the maternal abdominal elec-trocardiogram (aECG). The coefficients of the separating matrix were determined by training a neural network. This method provides efficient extraction of the fetal electrocardiogram (fECG) independently of the choice of recording point, input signal duration, or number of independent leads. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Biomedical Engineering |d 1967- | ||
| 463 | |t Vol. 50, iss. 6 |v [P. 371–375] |d 2017 | ||
| 610 | 1 | |a электронный ресурс | |
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| 610 | 1 | |a экстракция | |
| 610 | 1 | |a электрокардиограммы | |
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