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A Review on Impact Application of Heart Rate Variability (HRV)

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

The heart is the principal element of the physical structure because it transfers deoxygenated and oxygenated blood within the body. Heart rate variation gives the idea about many physiological and pathological parameter that lead to the change in normal to normal synchronous of the heart rate. HRV could be an essential tool within the department of cardiology, used as a non-invasive measurement technique to get the pathological information of a patient who has changed to suffer from cardiac diseases. Analysis of HRV can facilitate grasping the understanding of the autonomous nervous system (ANS) and can predict cardiac health. HRV shows the variation in the time interval between heartbeats and it is a reliable indicator of current disease, or a person may get suffer from some cardiac diseases. We gave a brief in this paper review of the clinical application of HRV and differential measurement technique such as Time domain, Frequency domain, and Non-linear technique for analysis of HRV.

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Control Engineering, College of Engineering Pune, Pune, Maharashtra, India

    R. Shashikant & P. Chetankumar

Authors
  1. R. Shashikant
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  2. P. Chetankumar
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Corresponding author

Correspondence to R. Shashikant .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Shashikant, R., Chetankumar, P. (2020). A Review on Impact Application of Heart Rate Variability (HRV). In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_1

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