Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients

Introducción. La corteza cerebral frontal tiene una mayor actividad teta durante procesos cognitivos de observación y aprendizaje.Objetivo. Establecer la relación entre actividad electroencefalográfica orbitofrontal y sistema nervioso autónomo en procesos cognitivos.Materiales y métodos. 20 hombres y 19 mujeres con edad promedio de 21.2 (±2.32) años fueron evaluados mediante electroencefalografía (EGG) FP1-T3, FP2-T4 y electrocardiografía (EKG, del alemán elektrokardiogramm) para determinar frecuencia cardíaca (HR, del inglés heart rate) y variabilidad de la frecuencia cardíaca (HRV, del inglés heart rate variability). La evaluación tuvo cinco fases: reposo, observación, memoria, concentración y juego. Las señales de EGG y EKG fueron analizadas en el dominio de la frecuencia usando la transformada rápida de Fourier (FFT, del inglés fast Fourier transform). Las diferencias por etapa entre las variables se establecieron con el uso de ANOVA de dos vías.Resultados. Comparado con el reposo, se observó en todas las fases incremento de la actividad teta del EGG (p<0.01), aumento en la baja frecuencia LF (p<0.01) y la HR (p<0.01) y disminución de la alta frecuencia HF (p<0.01). Además, hubo una correlación inversa entre la actividad teta y la potencia de HF (r=-0.86).Conclusiones. Los datos mostraron una reducción de la actividad parasimpática y un aumento de la actividad simpática asociado a actividad teta de la corteza orbitofrontal, mediante una conexión con el núcleo central de la amígdala.

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A COMPARATIVE STUDY OF THE EFFECTS OF HYPERBARIC OXYGENATION ON HEART RATE VARIABILITY USING WAVELET ANALYSIS AND FAST FOURIER TRANSFORM

Polish Hyperbaric Research ◽

10.13006/phr.45.2 ◽

2013 ◽

Author(s):

Tristan Juvet ◽

Salah Abdelhadi

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Fourier Transform ◽

Wavelet Analysis ◽

Comparative Study ◽

Fast Fourier Transform ◽

Hyperbaric Oxygenation

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Spectral Analysis of Heart Rate Variability in Diabetic Patients: A Study of 20 Cases from King Abdulaziz University Hospital

Annals of Saudi Medicine ◽

10.5144/0256-4947.2003.212 ◽

2003 ◽

Vol 23 (3-4) ◽

pp. 212-215

Author(s):

Awdah Al-Hazimi ◽

Khider Abdel-Galil

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Spectral Analysis ◽

University Hospital ◽

Diabetic Patients ◽

King Abdulaziz University

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Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents

Einstein (São Paulo) ◽

10.1590/s1679-45082016ao3683 ◽

2016 ◽

Vol 14 (2) ◽

pp. 196-201 ◽

Cited By ~ 1

Author(s):

Antonio Henrique Germano Soares ◽

Breno Quintella Farah ◽

Gabriel Grizzo Cucato ◽

Carmelo José Albanez Bastos-Filho ◽

Diego Giulliano Destro Christofaro ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Fourier Transform ◽

Fast Fourier Transform ◽

High Frequency ◽

Low Frequency ◽

Total Power ◽

Cross Sectional ◽

Negatively Associated ◽

Male Adolescents

ABSTRACT Objective To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant.

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