COMPARISON OF LINEAR AND NONLINEAR FEATURES OF HEART RATE VARIABILITY SIGNAL TO QUANTIFICATION OF STRESS LEVEL USING GENETIC ALGORITHM AND NEURAL NETWORK

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SHIRVAN R.A.; KHALILZADEH M.A.; TAHAMI S.E.; SAADATIAN V.

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Journal: SIGNAL AND DATA PROCESSING Year:2009 | Volume:- | Issue:2 (SERIAL 10) Page(s): 29-40

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Title

COMPARISON OF LINEAR AND NONLINEAR FEATURES OF HEART RATE VARIABILITY SIGNAL TO QUANTIFICATION OF STRESS LEVEL USING GENETIC ALGORITHM AND NEURAL NETWORK

Author(s)

SHIRVAN R.A. | KHALILZADEH M.A. | TAHAMI S.E. | SAADATIAN V. | Issue Writer Certificate

Keywords

HEART RATE VARIABILITYQ3

STRESSQ3

FRACTAL EXPONENTQ3

POINCARE PLOTQ3

ENTROPYQ2

EVOLUTIONARY ALGORITHMSQ3

NEURAL NETWORKSQ2

Abstract

The autonomic nervous system controlled the cardiovascular system by two antagonistic parts of the autonomic nervous system (ANS), which was named as the cardiac sympathetic and the parasympathetic nervous. Human emotion changing is related to sympathetic nervous and parasympathetic nervous system. Since the dynamics of the cardiac system are nonlinear. Nonlinear methods have been applied to the analysis of HRV. We have included studies that used the three most common non-linear indices: the fractal scaling exponent, measures based on POINCARE PLOTs, wavelet ENTROPY, and common linear indices in time and frequency domain. These results suggest that non-linear analysis contains relevant information related to different HRVdynamics in normal and abnormal subjects.

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APA: Copy

SHIRVAN, R.A., KHALILZADEH, M.A., TAHAMI, S.E., & SAADATIAN, V.. (2009). COMPARISON OF LINEAR AND NONLINEAR FEATURES OF HEART RATE VARIABILITY SIGNAL TO QUANTIFICATION OF STRESS LEVEL USING GENETIC ALGORITHM AND NEURAL NETWORK. SIGNAL AND DATA PROCESSING, -(2 (SERIAL 10)), 29-40. SID. https://sid.ir/paper/160760/en

Vancouver: Copy

SHIRVAN R.A., KHALILZADEH M.A., TAHAMI S.E., SAADATIAN V.. COMPARISON OF LINEAR AND NONLINEAR FEATURES OF HEART RATE VARIABILITY SIGNAL TO QUANTIFICATION OF STRESS LEVEL USING GENETIC ALGORITHM AND NEURAL NETWORK. SIGNAL AND DATA PROCESSING[Internet]. 2009;-(2 (SERIAL 10)):29-40. Available from: https://sid.ir/paper/160760/en

IEEE: Copy

R.A. SHIRVAN, M.A. KHALILZADEH, S.E. TAHAMI, and V. SAADATIAN, “COMPARISON OF LINEAR AND NONLINEAR FEATURES OF HEART RATE VARIABILITY SIGNAL TO QUANTIFICATION OF STRESS LEVEL USING GENETIC ALGORITHM AND NEURAL NETWORK,” SIGNAL AND DATA PROCESSING, vol. -, no. 2 (SERIAL 10), pp. 29–40, 2009, [Online]. Available: https://sid.ir/paper/160760/en

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