Efficient estimation of the heart period power spectrum suitable for physiologic or pharmacologic studies
| Autor: | J. Thomas Bigger, Jeffrey N. Rottman, L M Rolnitzky, Paul Albrecht, Richard C. Steinman, J L Fleiss |
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| Rok vydání: | 1990 |
| Předmět: |
medicine.medical_specialty
Time Factors Fast Fourier transform Standard deviation Heart Rate Internal medicine Heart rate medicine Humans Myocardial infarction Heart Function Tests medicine.diagnostic_test business.industry Spectral density Heart Signal Processing Computer-Assisted medicine.disease Cardiovascular physiology Electrocardiography Ambulatory Cardiology Regression Analysis Cardiology and Cardiovascular Medicine business Electrocardiography Algorithms |
| Zdroj: | The American Journal of Cardiology. 66:1522-1524 |
| ISSN: | 0002-9149 |
| DOI: | 10.1016/0002-9149(90)90551-b |
| Popis: | The standard deviation of the normal RR intervals (SDNN) computed over 24 hours predicts mortality after myocardial infarction. 1 The power spectrum of heart period or of instantaneous heart rate, calculated over intervals of 2 to 15 minutes, is used to assess autonomie nervous system activity: Energy in the 0.04- to 0.15-Hz band reflects both parasympathetic and sympathetic activity, and energy in the 0.15- to 0.40-Hz band reflects pure parasympathetic activity. 2 The prognostic significance of 24-hour SDNN has stimulated interest in computing heart period power spectra for 24-hour periods. Previous computational approaches to the 24-hour heart rate power spectrum used the fast Fourier transform (FFT) to analyze the entire 24-hour period in toto. 3,4 We report a practical approach for computing heart period or heart rate power spectra over 24-hour periods by analyzing the data in 5-minute segments. This approach has the advantages of permitting physiologic and pharmacologic studies and requiring fewer assumptions in dealing with "noisy" or arrhythmic segments. |
| Databáze: | OpenAIRE |
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