Comput. Biol. Med. - Binary symbolic dynamics classifies heart rate variability patterns linked to autonomic modulations.

Tópicos

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Resumo

Symbolic dynamics derived from heart rate variability (HRV) is able to reflect changes of cardiac autonomic modulations on short time scales in spite of the considerable reduction of information involved. However, the link between the appearance of specific symbolic patterns and the activity of the autonomic nervous system has not yet been elucidated. In this study, we investigate the symbolic dynamics that reflect acceleration (='1') and deceleration (='0') of the instantaneous heart rate. The resulting binary series is analyzed with respect to the regularity of binary patterns of length 8 using Approximate Entropy (ApEn). Binary patterns were grouped according to the level of their regularity as assessed by ApEn. ECG recordings were obtained from 17 healthy subjects during graded head-up tilt (0, 15, 30, 45, 60, 75, and 90?). The linear correlation (Spearman correlation coefficient) between tilt angle and the occurrence of binary patterns was evaluated. The results show that regular binary patterns occurred more often with increasing tilt angle whereas the occurrence of some irregular patterns decreased. Some binary patterns did not show a change of occurrence during tilt. When compared to the results of spectral analysis, regular binary patterns reflect sympathetic modulations whereas irregular binary patterns reflect parasympathetic modulations. The parameters derived from binary symbolic dynamics reflect changes of autonomic modulations during graded head-up tilt and are not fully correlated to the spectral markers of HRV.

Resumo Limpo

symbol dynam deriv heart rate variabl hrv abl reflect chang cardiac autonom modul short time scale spite consider reduct inform involv howev link appear specif symbol pattern activ autonom nervous system yet elucid studi investig symbol dynam reflect acceler deceler instantan heart rate result binari seri analyz respect regular binari pattern length use approxim entropi apen binari pattern group accord level regular assess apen ecg record obtain healthi subject grade headup tilt linear correl spearman correl coeffici tilt angl occurr binari pattern evalu result show regular binari pattern occur often increas tilt angl wherea occurr irregular pattern decreas binari pattern show chang occurr tilt compar result spectral analysi regular binari pattern reflect sympathet modul wherea irregular binari pattern reflect parasympathet modul paramet deriv binari symbol dynam reflect chang autonom modul grade headup tilt fulli correl spectral marker hrv

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