DOI: 10.14704/nq.2013.11.3.632

A Fast Fourier Transform Analysis of Time Series Data of Heart Rate Variability During Alfa-Rhythm Stimulation in Brain Entrainment

Elio Conte, Sergio Conte, Nunzia Santacroce, Antonio Federici, Orlando Todarello, Franco Orsucci, Francesco Casciaro, Vincenza Laterza

Abstract


It is well known that the decrease of the Heart Rate Variability (HRV) is related to a number of important pathologies involving cardiovascular system as well as psychological and psychiatric disorders. In such case a prompt recover of HRV and, in particular, of parasympathetic modulation is required in the ANS (Autonomic Nervous System). In order to pursue this objective in the present paper. The physical technique of the brain entrainment has been used. We have recorded R-R time intervals estimated from the QRS complex in the ECG. One time the R-R signal has been recorded during rest condition of the subject and the second time during alpha brain stimulation. The following step has been to analyze the data performing the Fast Fourier Analysis that is able to quantify the ANS activity of modulation on heart rhythm. We have found that, respect to the rest case, alpha brain stimulation induces a constant improvement in the total power spectral density (and thus induces an increase in total heart rhythm variability) and in particular in the parasympathetic (HF) band spectrum. The result is of interest for further consideration by clinicians and researchers of brainwave entrainment (BWE) as basic therapeutic tool in a so serious field of neurology and related pathologies.

NeuroQuantology | September 2013 | Volume 11 | Issue 3 | Page 410-415

Keywords


Fast Fourier Transform; FFT; analysis of time series data; HRV analysis; alfa rhythm brain stimulation; brain entrainment

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References


Conte E, Federici A, Zbilut JP. A new method based on fractal variance function for analysis and quantification of sympathetic and vagal activity in variability of R–R time series in ECG signals. Chaos, Solitons and Fractals 2009; 41 (3): 1416-1426.

Conte E, Khrennikov A, Federici A, Zbilut JP. Fractal fluctuations and quantum-like chaos in the brain by analysis of variability of brain waves: A new method based on a fractal variance function and random matrix theory: A link with El Naschie fractal Cantorian space–time and V. Weiss and H. Weiss golden ratio in brain. Chaos, Solitons and Fractals 2009a; 41(6): 2790-2800.

Conte E, Pieralice M, Laterza V, Losurdo A, Santacroce N, Conte S, Federici A, Giuliani A. Traditional and a new methodology for analysis of heart rate variability: a review by physiological and clinical experimental results. International Journal of Research and Reviews in Applied Sciences 2012; 13(1): 206-293.

Conte E, Todarello O, Conte S, Mendolicchio L, Federici A. Methods and Applications of Non-Linear Analysis in Neurology and Psycho-physiology. Journal of Consciousness Exploration & Research 2010; 1 (9): 1070-1138.

Huang TL, Charyton C. A Comprehensive Review of the Psychological Effects of Brainwave Entrainment. Alternative Therapies 2008; 14 (5): 38-49.

Sandercock GR, Bromley PD, Brodie DA. The reliability of short-term measurements of heart rate variability. Int J Cardiol 2005; 103(3): 238-47.


Supporting Agencies

Relevant conflicts of interest/financial disclosures: Nothing to report.



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