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Literature DB >> 8476974

A new method for analysis of heart rate variability: counting statistics of 1/f fluctuations.

M Meesmann¹, F Grüneis, P Flachenecker, K D Kniffki.

Abstract

1/f fluctuations in heart rate are usually measured spectral analysis using Fast Fourier Transform. Here, we introduce a new method based on counting the number of QRS complexes in time intervals delta t of various length. For a 1/fb spectrum the variance of counts in delta t follows a power-law as delta t1+b. This method is applied to analyze long term fluctuations in heart rate variability in 10 healthy men. The results show periods of 1/f fluctuations with interpolated periods of white noise during night hours.

Entities: Species

Mesh：

Year: 1993 PMID： 8476974 DOI： 10.1007/bf00201855

Source DB: PubMed Journal: Biol Cybern ISSN： 0340-1200 Impact factor: 2.086

11 in total

1. Analysis of long term heart rate variability: methods, 1/f scaling and implications.

Authors: J P Saul; P Albrecht; R D Berger; R J Cohen
Journal: Comput Cardiol Date: 1988

Review 2. Beat to beat variability in cardiovascular variables: noise or music?

Authors: M L Appel; R D Berger; J P Saul; J M Smith; R J Cohen
Journal: J Am Coll Cardiol Date: 1989-11-01 Impact factor: 24.094

3. Stability over time of variables measuring heart rate variability in normal subjects.

Authors: R E Kleiger; J T Bigger; M S Bosner; M K Chung; J R Cook; L M Rolnitzky; R Steinman; J L Fleiss
Journal: Am J Cardiol Date: 1991-09-01 Impact factor: 2.778

4. Frequency domain measures of heart period variability and mortality after myocardial infarction.

Authors: J T Bigger; J L Fleiss; R C Steinman; L M Rolnitzky; R E Kleiger; J N Rottman
Journal: Circulation Date: 1992-01 Impact factor: 29.690

5. 24 h sequential spectral analysis of arterial blood pressure and pulse interval in free-moving subjects.

Authors: M Di Rienzo; P Castiglioni; G Mancia; G Parati; A Pedotti
Journal: IEEE Trans Biomed Eng Date: 1989-11 Impact factor: 4.538

6. Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope.

Authors: L A Lipsitz; J Mietus; G B Moody; A L Goldberger
Journal: Circulation Date: 1990-06 Impact factor: 29.690

2. General relation between variance-time curve and power spectral density for point processes exhibiting 1/f beta-fluctuations, with special reference to heart rate variability.

Authors: R Scharf; M Meesmann; J Boese; D R Chialvo; K D Kniffki
Journal: Biol Cybern Date: 1995-08 Impact factor: 2.086

3. What is heart rate, anyway?

Authors: F E Block
Journal: J Clin Monit Date: 1994-11

4. Fractal character of the electrocardiogram: distinguishing heart-failure and normal patients.

Authors: R G Turcott; M C Teich
Journal: Ann Biomed Eng Date: 1996 Mar-Apr Impact factor: 3.934

4 in total

A new method for analysis of heart rate variability: counting statistics of 1/f fluctuations.

1. Analysis of long term heart rate variability: methods, 1/f scaling and implications.

Review 2. Beat to beat variability in cardiovascular variables: noise or music?

3. Stability over time of variables measuring heart rate variability in normal subjects.

4. Frequency domain measures of heart period variability and mortality after myocardial infarction.

5. 24 h sequential spectral analysis of arterial blood pressure and pulse interval in free-moving subjects.

6. Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope.

7. Bifurcations and intrinsic chaotic and 1/f dynamics in an isolated perfused rat heart.

8. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction.

9. Components of heart rate variability measured during healing of acute myocardial infarction.

10. 1/f fluctuation of heartbeat period.

1. Paternal experience and stress responses in California mice (Peromyscus californicus).

2. General relation between variance-time curve and power spectral density for point processes exhibiting 1/f beta-fluctuations, with special reference to heart rate variability.

3. What is heart rate, anyway?

4. Fractal character of the electrocardiogram: distinguishing heart-failure and normal patients.