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Fractal Analysis of Heart Dynamics During Attention Task

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Advances in Computational Intelligence Techniques

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Heart and brain recurrently interact to mediate human cognitive information processing. This chapter identifies nonlinear variations of heart activities acquired during internally and externally operative attention using multifractal analysis. Fourteen healthy subjects voluntarily participated in the experiment designed as per Posner’s spatial cueing paradigm. The multifractal spectrum width for the baseline and recovery session was observed as 1.35 ± 0.21 and 1.41 ± 0.14 (mean ± standard deviation), respectively, which reveals that the heart rhythm exhibits the existence of long-range correlation and Gaussian spectrum shape. Moreover, for internally operative attention task, the significant variation was observed from baseline and recovery session with a spectrum width of 1.28 ± 0.21 and no change in multifractal spectrum shape. However, for the externally operative attention task, subjects have shown significant variation from baseline, while insignificant variation from recovery session with a spectrum width of 1.31 ± 0.19 and no change in spectrum shape. Although for internally and externally operative attention task, the multifractal dimension analysis reveals that heart rhythm possessed fractal behavior with reduced spectrum width and no change in the shape of the multifractal spectrum concerning baseline and recovery session. Fractal variations of heart dynamics found to quantify internally and externally operative attention concerning baseline and recovery session, which may support us to design robust brain–computer interfaces, accelerated sports, and defense training paradigms.

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Acknowledgements

Authors acknowledge support and motivation provided by faculty and staff of the department of instrumentation and control engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab (India).

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Authors and Affiliations

  1. Department of Instrumentation and Control Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Mukesh Kumar & Dilbag Singh

  2. Department of Physiology, All India Institute of Medical Sciences, New Delhi, India

    K. K. Deepak

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  2. Dilbag Singh
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  3. K. K. Deepak
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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan, Himachal Pradesh, India

    Shruti Jain

  2. National Institute of Technical Teachers Training and Research, Chandigarh, India

    Meenakshi Sood

  3. Department of Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India

    Sudip Paul

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Kumar, M., Singh, D., Deepak, K.K. (2020). Fractal Analysis of Heart Dynamics During Attention Task. In: Jain, S., Sood, M., Paul, S. (eds) Advances in Computational Intelligence Techniques. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2620-6_7

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