SCOPUS 정보 검색 플랫폼

Volumn , Issue , 1999, Pages 17-20

Characterizing nonlinearity in Ventricular Fibrillation

c NONE

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; RANDOM PROCESSES;

VENTRICULAR FIBRILLATION;

ELECTROCARDIOGRAPHY;

EID: 0033282986 PISSN: 02766574 EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (13)

References (11)

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2
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- Is breathing in infants chaotic? Dimension estimates for respiratory patterns during quiet sleep
- Small M, Judd K, Lowe M, Stick S. Is breathing in infants chaotic? Dimension estimates for respiratory patterns during quiet sleep. J Appl Physiol 1999;86:359-76.
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- Small, M.¹ Judd, K.² Lowe, M.³ Stick, S.⁴

3
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- Cambridge University Press, Cambridge
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- Kantz, H.¹ Schreiber, T.²

4
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- Improved surrogate data for nonlinearity tests
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- Schreiber, T.¹ Schmitz, A.²

5
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- An improved estimator of dimension and some comments on providing confidence intervals
- Judd K. An improved estimator of dimension and some comments on providing confidence intervals. Physica D 1992;56:216-28.
- (1992) Physica D , vol.56 , pp. 216-228
- Judd, K.¹

6
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- Estimating dimension from small samples
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- Judd, K.¹

7
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- Characterization of strange attractors
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- Grassberger, P.¹ Procaccia, I.²

8
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- Measuring the strangeness of strange attractors
- Grassberger P, Procaccia I. Measuring the strangeness of strange attractors. Physica D 1983;9:189-208.
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- Grassberger, P.¹ Procaccia, I.²

9
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- Pivotal statistics for non-constrained realizations of composite null hypotheses in surrogate data analysis
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- On selecting models for nonlinear time series
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11
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- Comparison of new nonlinear modelling techniques with applications to infant respiration
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