Power law temporal auto-correlations in day-long records of human physical activity and their alteration with disease

L. A. Nunes Amaral; D. J. Bezerra Soares; L. R. Da Silva; L. S. Lucena; M. Saito; H. Kumano; N. Aoyagi; Y. Yamamoto

doi:10.1209/epl/i2003-10227-7

Power law temporal auto-correlations in day-long records of human physical activity and their alteration with disease

L. A. Nunes Amaral^*, D. J. Bezerra Soares, L. R. Da Silva, L. S. Lucena, M. Saito, H. Kumano, N. Aoyagi, Y. Yamamoto

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

We investigate long-duration time series of human physical activity under three different conditions: healthy individuals in i) a constant routine protocol and ii) in regular daily routine, and iii) individuals diagnosed with multiple chemical sensitivities. We find that in all cases human physical activity displays power law decaying temporal auto-correlations. Moreover, we find that under regular daily routine, time correlations of physical activity are significantly different during diurnal and nocturnal periods but that no difference exists under constant routine conditions. Finally, we find significantly different auto-correlations for diurnal records of patients with multiple chemical sensitivities.

Original language	English
Pages (from-to)	448-454
Number of pages	7
Journal	Europhysics Letters
Volume	66
Issue number	3
DOIs	https://doi.org/10.1209/epl/i2003-10227-7
Publication status	Published - 2004 May 1
Externally published	Yes

ASJC Scopus subject areas

Physics and Astronomy(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1209/epl/i2003-10227-7

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abstract = "We investigate long-duration time series of human physical activity under three different conditions: healthy individuals in i) a constant routine protocol and ii) in regular daily routine, and iii) individuals diagnosed with multiple chemical sensitivities. We find that in all cases human physical activity displays power law decaying temporal auto-correlations. Moreover, we find that under regular daily routine, time correlations of physical activity are significantly different during diurnal and nocturnal periods but that no difference exists under constant routine conditions. Finally, we find significantly different auto-correlations for diurnal records of patients with multiple chemical sensitivities.",

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AU - Nunes Amaral, L. A.

AU - Bezerra Soares, D. J.

AU - Da Silva, L. R.

AU - Lucena, L. S.

AU - Saito, M.

AU - Kumano, H.

AU - Aoyagi, N.

AU - Yamamoto, Y.

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Y1 - 2004/5/1

N2 - We investigate long-duration time series of human physical activity under three different conditions: healthy individuals in i) a constant routine protocol and ii) in regular daily routine, and iii) individuals diagnosed with multiple chemical sensitivities. We find that in all cases human physical activity displays power law decaying temporal auto-correlations. Moreover, we find that under regular daily routine, time correlations of physical activity are significantly different during diurnal and nocturnal periods but that no difference exists under constant routine conditions. Finally, we find significantly different auto-correlations for diurnal records of patients with multiple chemical sensitivities.

AB - We investigate long-duration time series of human physical activity under three different conditions: healthy individuals in i) a constant routine protocol and ii) in regular daily routine, and iii) individuals diagnosed with multiple chemical sensitivities. We find that in all cases human physical activity displays power law decaying temporal auto-correlations. Moreover, we find that under regular daily routine, time correlations of physical activity are significantly different during diurnal and nocturnal periods but that no difference exists under constant routine conditions. Finally, we find significantly different auto-correlations for diurnal records of patients with multiple chemical sensitivities.

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Power law temporal auto-correlations in day-long records of human physical activity and their alteration with disease

Abstract

ASJC Scopus subject areas

UN SDGs

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