Linear and non-linear analyses of heart rate variability: a minireview

1996 ◽  
Vol 31 (3) ◽  
pp. 371-379 ◽  
Author(s):  
P Mansier
2004 ◽  
Vol 115 (9) ◽  
pp. 2031-2040 ◽  
Author(s):  
Martine Dumont ◽  
Fabrice Jurysta ◽  
Jean-Pol Lanquart ◽  
Pierre-François Migeotte ◽  
Philippe van de Borne ◽  
...  

2016 ◽  
Vol 30 (1) ◽  
Author(s):  
Milana Drumond Ramos SANTANA ◽  
Ivo Cavalcante PITA NETO ◽  
Eli Carlos MARTINIANO ◽  
Larissa Raylane Lucas MONTEIRO ◽  
José Lucas Souza RAMOS ◽  
...  

2020 ◽  
Vol 14 ◽  
Author(s):  
Fred Shaffer ◽  
Zachary M. Meehan

Heart rate variability (HRV) represents fluctuations in the time intervals between successive heartbeats, which are termed interbeat intervals. HRV is an emergent property of complex cardiac-brain interactions and non-linear autonomic nervous system (ANS) processes. A healthy heart is not a metronome because it exhibits complex non-linear oscillations characterized by mathematical chaos. HRV biofeedback displays both heart rate and frequently, respiration, to individuals who can then adjust their physiology to improve affective, cognitive, and cardiovascular functioning. The central premise of the HRV biofeedback resonance frequency model is that the adult cardiorespiratory system has a fixed resonance frequency. Stimulation at rates near the resonance frequency produces large-amplitude blood pressure oscillations that can increase baroreflex sensitivity over time. The authors explain the rationale for the resonance frequency model and provide detailed instructions on how to monitor and assess the resonance frequency. They caution that patterns of physiological change must be compared across several breathing rates to evaluate candidate resonance frequencies. They describe how to fine-tune the resonance frequency following an initial assessment. Furthermore, the authors critically assess the minimum epochs required to measure key HRV indices, resonance frequency test-retest reliability, and whether rhythmic skeletal muscle tension can replace slow paced breathing in resonance frequency assessment.


Author(s):  
P.K. Stein ◽  
N. Hui ◽  
P.P. Domitrovich ◽  
J. Gottdiener ◽  
P. Rautaharju

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Daniel Noronha Osório ◽  
Ricardo Viana-Soares ◽  
João Pedro Marto ◽  
Marcelo D. Mendonça ◽  
Hugo P. Silva ◽  
...  

Abstract Background Remote ischemic conditioning (RIC) is a procedure applied in a limb for triggering endogenous protective pathways in distant organs, namely brain or heart. The underlying mechanisms of RIC are still not fully understood, and it is hypothesized they are mediated either by humoral factors, immune cells and/or the autonomic nervous system. Herein, heart rate variability (HRV) was used to evaluate the electrophysiological processes occurring in the heart during RIC and, in turn to assess the role of autonomic nervous system. Methods Healthy subjects were submitted to RIC protocol and electrocardiography (ECG) was used to evaluate HRV, by assessing the variability of time intervals between two consecutive heart beats. This is a pilot study based on the analysis of 18 ECG from healthy subjects submitted to RIC. HRV was characterized in three domains (time, frequency and non-linear features) that can be correlated with the autonomic nervous system function. Results RIC procedure increased significantly the non-linear parameter SD2, which is associated with long term HRV. This effect was observed in all subjects and in the senior (> 60 years-old) subset analysis. SD2 increase suggests an activation of both parasympathetic and sympathetic nervous system, namely via fast vagal response (parasympathetic) and the slow sympathetic response to the baroreceptors stimulation. Conclusions RIC procedure modulates both parasympathetic and sympathetic autonomic nervous system. Furthermore, this modulation is more pronounced in the senior subset of subjects. Therefore, the autonomic nervous system regulation could be one of the mechanisms for RIC therapeutic effectiveness.


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