Multiscale entropy analysis of fMCG heart rate variability at different pregnancy ages: preliminary results (2008)
- Authors:
- USP affiliated authors: MORAES, EDER REZENDE - FFCLRP ; MURTA JUNIOR, LUIZ OTAVIO - FFCLRP ; BAFFA FILHO, OSWALDO - FFCLRP
- Unidade: FFCLRP
- Subjects: FÍSICA MATEMÁTICA; ENTROPIA; MATEMÁTICA APLICADA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Abstract
- Conference titles: International Conference on Biomagnetism (BIOMAG)
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ABNT
MURTA JUNIOR, Luiz Otavio et al. Multiscale entropy analysis of fMCG heart rate variability at different pregnancy ages: preliminary results. 2008, Anais.. Sapporo: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2008. . Acesso em: 18 abr. 2024. -
APA
Murta Junior, L. O., Murta Junior, L. O., Guilhon, D., Moraes, E. R., Baffa, O., & Comani, S. (2008). Multiscale entropy analysis of fMCG heart rate variability at different pregnancy ages: preliminary results. In Abstract. Sapporo: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. -
NLM
Murta Junior LO, Murta Junior LO, Guilhon D, Moraes ER, Baffa O, Comani S. Multiscale entropy analysis of fMCG heart rate variability at different pregnancy ages: preliminary results. Abstract. 2008 ;[citado 2024 abr. 18 ] -
Vancouver
Murta Junior LO, Murta Junior LO, Guilhon D, Moraes ER, Baffa O, Comani S. Multiscale entropy analysis of fMCG heart rate variability at different pregnancy ages: preliminary results. Abstract. 2008 ;[citado 2024 abr. 18 ] - Linear and nonlinear measures of fetal heart rate patterns evaluated on very short fetal magnetocardiograms
- Segmented independent component analysis for improved separation of fetal cardiac signals from nonstationary fetal magnetocardiograms
- Early assessment of fetal well-being by means of nonlinear parameters (STV, ApEn and SampEn): a fMCG study on normal pregnancies
- Segmented ICA method to separate the fetal magnetocardiogram from fMCS signals affected by fetal movements
- Development of a superconductor multichannel biogradiometer with SQUIDs-DC
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