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Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation

BACKGROUND: The Gini coefficient is a statistical tool generally used by economists to quantify income inequality. However, it can be applied to any kind of data with unequal distribution, including heart rate variability (HRV). OBJECTIVES: To assess the application of the Gini coefficient to measur...

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Autores principales: Sánchez-Hechavarría, Miguel Enrique, Ghiya, Shreya, Carrazana-Escalona, Ramon, Cortina-Reyna, Sergio, Andreu-Heredia, Adán, Acosta-Batista, Carlos, Saá-Muñoz, Nicolás Armando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia - SBC 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020869/
https://www.ncbi.nlm.nih.gov/pubmed/31508693
http://dx.doi.org/10.5935/abc.20190185
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author Sánchez-Hechavarría, Miguel Enrique
Ghiya, Shreya
Carrazana-Escalona, Ramon
Cortina-Reyna, Sergio
Andreu-Heredia, Adán
Acosta-Batista, Carlos
Saá-Muñoz, Nicolás Armando
author_facet Sánchez-Hechavarría, Miguel Enrique
Ghiya, Shreya
Carrazana-Escalona, Ramon
Cortina-Reyna, Sergio
Andreu-Heredia, Adán
Acosta-Batista, Carlos
Saá-Muñoz, Nicolás Armando
author_sort Sánchez-Hechavarría, Miguel Enrique
collection PubMed
description BACKGROUND: The Gini coefficient is a statistical tool generally used by economists to quantify income inequality. However, it can be applied to any kind of data with unequal distribution, including heart rate variability (HRV). OBJECTIVES: To assess the application of the Gini coefficient to measure inequality in power spectral density of RR intervals, and to use this application as a psychophysiological indicator of mental stress. METHODS: Thirteen healthy subjects (19 ± 1.5 years) participated in this study, and their RR intervals were obtained by electrocardiogram during rest (five minutes) and during mental stress (arithmetic challenge; five minutes). These RR intervals were used to obtain the estimates of power spectral densities (PSD). The limits for the PSD bands were defined from 0.15 to 0.40 Hz for high frequency band (HF), from 0.04 to 0.15 Hz for low frequency band (LF), from 0.04 to 0.085 Hz for first low frequency sub-band (LF1) and from 0.085 to 0.15 Hz for second low frequency sub-band (LF2). The spectral Gini coefficient (SpG) was proposed to measure the inequality in the power distribution of the RR intervals in each of above-mentioned HRV bands. SpG from each band was compared with its respective traditional index of HRV during the conditions of rest and mental stress. All the differences were considered statistically significant for p < 0.05. RESULTS: There was a significant decrease in HF power (p = 0.046), as well as significant increases in heart rate (p = 0.004), LF power (p = 0.033), LF2 power (p = 0.019) and LF/HF (p = 0.002) during mental stress. There was also a significant increase in SpG(LF) (p = 0.009) and SpG(LF2) (p = 0.033) during mental stress. Coefficient of variation showed SpG has more homogeneity compared to the traditional index of HRV during mental stress. CONCLUSIONS: This pilot study suggested that spectral inequality of Heart Rate Variability analyzed using the Gini coefficient seems to be an independent and homogeneous psychophysiological indicator of mental stress. Also, HR, LF/HF, SpG(LF) of HRV are possibly important, reliable and valid indicators of mental stress.
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spelling pubmed-70208692020-02-20 Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation Sánchez-Hechavarría, Miguel Enrique Ghiya, Shreya Carrazana-Escalona, Ramon Cortina-Reyna, Sergio Andreu-Heredia, Adán Acosta-Batista, Carlos Saá-Muñoz, Nicolás Armando Arq Bras Cardiol Original Article BACKGROUND: The Gini coefficient is a statistical tool generally used by economists to quantify income inequality. However, it can be applied to any kind of data with unequal distribution, including heart rate variability (HRV). OBJECTIVES: To assess the application of the Gini coefficient to measure inequality in power spectral density of RR intervals, and to use this application as a psychophysiological indicator of mental stress. METHODS: Thirteen healthy subjects (19 ± 1.5 years) participated in this study, and their RR intervals were obtained by electrocardiogram during rest (five minutes) and during mental stress (arithmetic challenge; five minutes). These RR intervals were used to obtain the estimates of power spectral densities (PSD). The limits for the PSD bands were defined from 0.15 to 0.40 Hz for high frequency band (HF), from 0.04 to 0.15 Hz for low frequency band (LF), from 0.04 to 0.085 Hz for first low frequency sub-band (LF1) and from 0.085 to 0.15 Hz for second low frequency sub-band (LF2). The spectral Gini coefficient (SpG) was proposed to measure the inequality in the power distribution of the RR intervals in each of above-mentioned HRV bands. SpG from each band was compared with its respective traditional index of HRV during the conditions of rest and mental stress. All the differences were considered statistically significant for p < 0.05. RESULTS: There was a significant decrease in HF power (p = 0.046), as well as significant increases in heart rate (p = 0.004), LF power (p = 0.033), LF2 power (p = 0.019) and LF/HF (p = 0.002) during mental stress. There was also a significant increase in SpG(LF) (p = 0.009) and SpG(LF2) (p = 0.033) during mental stress. Coefficient of variation showed SpG has more homogeneity compared to the traditional index of HRV during mental stress. CONCLUSIONS: This pilot study suggested that spectral inequality of Heart Rate Variability analyzed using the Gini coefficient seems to be an independent and homogeneous psychophysiological indicator of mental stress. Also, HR, LF/HF, SpG(LF) of HRV are possibly important, reliable and valid indicators of mental stress. Sociedade Brasileira de Cardiologia - SBC 2019-10 /pmc/articles/PMC7020869/ /pubmed/31508693 http://dx.doi.org/10.5935/abc.20190185 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sánchez-Hechavarría, Miguel Enrique
Ghiya, Shreya
Carrazana-Escalona, Ramon
Cortina-Reyna, Sergio
Andreu-Heredia, Adán
Acosta-Batista, Carlos
Saá-Muñoz, Nicolás Armando
Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title_full Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title_fullStr Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title_full_unstemmed Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title_short Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation
title_sort introduction of application of gini coefficient to heart rate variability spectrum for mental stress evaluation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020869/
https://www.ncbi.nlm.nih.gov/pubmed/31508693
http://dx.doi.org/10.5935/abc.20190185
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