Artículo
Figliola, A.; Serrano, E. "Analysis of physiological time series using wavelet transforms" (1997) IEEE Engineering in Medicine and Biology Magazine. 16(3):74-79
Consulte la política de Acceso Abierto del editor
Abstract:
A method of time-series analysis is presented using wavelet transforms to analyzed heart dynamics in sleep apneic patient. The difficulty in applying this analysis is that the phenomenon is nonstationary and contaminated with noise. The discrete wavelet transform detects signal changes by observing changes in the energy spectrum of the series. In all pre-apnea states, the dynamic system has higher information cost function (ICF) values than in the apnea condition. The system has lower ICF coefficients when the apnea crisis appears.
Registro:
| Documento: | Artículo |
| Título: | Analysis of physiological time series using wavelet transforms |
| Autor: | Figliola, A.; Serrano, E. |
| Filiación: | Instituto de Cálculo, Ciudad Universitaria, Buenos Aires, Argentina Departamento de Matematica, Ciudad Universitaria, Buenos Aires, Argentina University of Buenos Aires, Argentina National Research Council (CONICET), Argentina Buenos Aires University, Department of Mathematics, Argentina Buenos Aires University, Argentina Instituto de Cálculo, Pab. II Ciudad Universitaria, 1428 Buenos Aires, Argentina |
| Palabras clave: | Information cost function (ICF); Lyapunov exponent; Physiological time series; Sleep apnea; Cardiovascular system; Correlation methods; Data recording; Data reduction; Electrocardiography; Mathematical models; Signal processing; Sleep research; Spectrum analysis; Time series analysis; Wavelet transforms; Physiology; adult; article; blood oxygen tension; case report; fourier transformation; heart rhythm; human; male; sleep apnea syndrome; thorax; time perception; volumetry; waveform; Algorithms; Cheyne-Stokes Respiration; Computer Simulation; Electrocardiography; Electroencephalography; Forecasting; Fourier Analysis; Heart Rate; Humans; Lung Compliance; Male; Middle Aged; Models, Cardiovascular; Oximetry; Oxygen; Pulmonary Ventilation; Signal Processing, Computer-Assisted; Sleep Apnea Syndromes |
| Año: | 1997 |
| Volumen: | 16 |
| Número: | 3 |
| Página de inicio: | 74 |
| Página de fin: | 79 |
| DOI: | http://dx.doi.org/10.1109/51.585521 |
| Título revista: | IEEE Engineering in Medicine and Biology Magazine |
| Título revista abreviado: | IEEE ENG. MED. BIOL. MAG. |
| ISSN: | 07395175 |
| CODEN: | IEMBD |
| CAS: | Oxygen, 7782-44-7 |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07395175_v16_n3_p74_Figliola |
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Citas:
---------- APA ----------
Figliola, A. & Serrano, E. (1997) . Analysis of physiological time series using wavelet transforms. IEEE Engineering in Medicine and Biology Magazine, 16(3), 74-79.http://dx.doi.org/10.1109/51.585521
---------- CHICAGO ----------
Figliola, A., Serrano, E. "Analysis of physiological time series using wavelet transforms" . IEEE Engineering in Medicine and Biology Magazine 16, no. 3 (1997) : 74-79.http://dx.doi.org/10.1109/51.585521
---------- MLA ----------
Figliola, A., Serrano, E. "Analysis of physiological time series using wavelet transforms" . IEEE Engineering in Medicine and Biology Magazine, vol. 16, no. 3, 1997, pp. 74-79.http://dx.doi.org/10.1109/51.585521
---------- VANCOUVER ----------
Figliola, A., Serrano, E. Analysis of physiological time series using wavelet transforms. IEEE ENG. MED. BIOL. MAG. 1997;16(3):74-79.http://dx.doi.org/10.1109/51.585521
