Literature DB >> 16937209

Towards assessing the sympathovagal balance.

Melvyn J Lafitte1, Orin R Sauvageot, Marion Fevre-Genoulaz, Marc Zimmermann.   

Abstract

Exact assessment of the autonomic nervous system's (ANS) activity by means of heart rate variability (HRV) is a long-standing challenge. Although many techniques have been proposed to take up the challenge, none ever proposed a rationale for the approach behind the technique or a satisfying discrimination of the two activities which underlie the autonomic control of HRV. We here propose a new method, providing both an understanding of the discrimination's nature and a framework which we believe leads to a thorough assessment of the sympathovagal balance, as a trajectory between points in a well-chosen space. The methodology assumes tools from scale invariance/covariance physics. The sympathovagal balance is obtained on a beat-to-beat basis with the dynamics portrayed through a trajectory. Furthermore, universal trajectories are sought which would comprehensively describe the effect of atropine and isoproterenol injections on systems underlying the heart pace variations. Non-invasive assessment of the respective activities of the sympathetic and parasympathetic subsystems of the ANS would be possible through cardiac autonomic measurements.

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Year:  2006        PMID: 16937209     DOI: 10.1007/s11517-006-0053-1

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  13 in total

1.  ACC/AHA Guidelines for Ambulatory Electrocardiography. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the Guidelines for Ambulatory Electrocardiography). Developed in collaboration with the North American Society for Pacing and Electrophysiology.

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Journal:  J Am Coll Cardiol       Date:  1999-09       Impact factor: 24.094

2.  Nonlinear analysis of the separate contributions of autonomic nervous systems to heart rate variability using principal dynamic modes.

Authors:  Yuru Zhong; Hengliang Wang; Ki Hwan Ju; Kung-Ming Jan; Ki H Chon
Journal:  IEEE Trans Biomed Eng       Date:  2004-02       Impact factor: 4.538

3.  Intermittency in fully developed turbulence: Log-Poisson statistics and generalized scale covariance.

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Journal:  Phys Rev Lett       Date:  1994-08-15       Impact factor: 9.161

Review 4.  Fractal and complexity measures of heart rate variability.

Authors:  Juha S Perkiömäki; Timo H Mäkikallio; Heikki V Huikuri
Journal:  Clin Exp Hypertens       Date:  2005 Feb-Apr       Impact factor: 1.749

5.  Dynamic analysis of heart rate may predict subsequent ventricular tachycardia after myocardial infarction.

Authors:  T H Mäkikallio; T Seppänen; K E Airaksinen; J Koistinen; M P Tulppo; C K Peng; A L Goldberger; H V Huikuri
Journal:  Am J Cardiol       Date:  1997-09-15       Impact factor: 2.778

6.  Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the R-R interval dynamics before the spontaneous onset of atrial fibrillation.

Authors:  Dong-Gu Shin; Cheol-Seung Yoo; Sang-Hoon Yi; Jun-Ho Bae; Young-Jo Kim; Jong-Sun Park; Geu-Ru Hong
Journal:  Circ J       Date:  2006-01       Impact factor: 2.993

7.  Sympathovagal balance.

Authors:  P Sleight; L Bernardi
Journal:  Circulation       Date:  1998-12-08       Impact factor: 29.690

8.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
Journal:  Eur Heart J       Date:  1996-03       Impact factor: 29.983

9.  Heart rate dynamics in patients with stable angina pectoris and utility of fractal and complexity measures.

Authors:  T H Mäkikallio; T Ristimäe; K E Airaksinen; C K Peng; A L Goldberger; H V Huikuri
Journal:  Am J Cardiol       Date:  1998-01-01       Impact factor: 2.778

10.  Assessment of cardiac sympathetic regulation by respiratory-related arterial pressure variability in the rat.

Authors:  C C Yang; T B Kuo
Journal:  J Physiol       Date:  1999-03-15       Impact factor: 5.182

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  1 in total

1.  Preoperative heart rate variability as a predictor of perioperative outcomes: a systematic review without meta-analysis.

Authors:  Mikkel Nicklas Frandsen; Jesper Mehlsen; Nicolai Bang Foss; Henrik Kehlet
Journal:  J Clin Monit Comput       Date:  2022-01-29       Impact factor: 1.977

  1 in total

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