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A Novel Method for Stress Measuring Using EEG Signals

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Advances in Information and Communication Networks (FICC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 887))

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Abstract

Stress is one of the major contributing factors which lead to various diseases including cardiovascular diseases. To avoid this, stress monitoring is very essential for clinical intervention and disease prevention. In present study, the feasibility of exploiting Electroencephalography (EEG) signals to monitor stress in mental arithmetic tasks is investigated. This paper presents a novel hardware system along with software system which provides a method for determining stress level with the help of a Theta sub-band of EEG signals. The proposed system performs a signal-processing of EEG signals, which recognizes the peaks of the Theta sub-band above a certain threshold value. It finds the first order difference information to identify the peak. This proposed method of EEG based stress detection can be used as quick, noninvasive, portable and handheld tool for determining the stress level of a person.

Research Grant support from: BIRAC GYTI, India.

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Acknowledgment

The authors would like to thank the BIRAC GYTI for financial supporting this work under research grant for researchers and the SKN General Hospital, Pune for their valuable help and support. The author would like to thank all authors of the references which have been used, as well as reviewers of the paper. The authors would like to thank the SERB-ITS for its travel grant support.

Author information

Authors and Affiliations

  1. Department of E&TC, AISSMS’s Institute of Information Technology, Pune, India

    Vinayak Bairagi & Sanket Kulkarni

Authors
  1. Vinayak Bairagi
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  2. Sanket Kulkarni
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Corresponding author

Correspondence to Vinayak Bairagi .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, New Delhi, India

    Rahul Bhatia

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Bairagi, V., Kulkarni, S. (2019). A Novel Method for Stress Measuring Using EEG Signals. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-030-03405-4_47

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  • DOI: https://doi.org/10.1007/978-3-030-03405-4_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03404-7

  • Online ISBN: 978-3-030-03405-4

  • eBook Packages: EngineeringEngineering (R0)

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