A Novel Method for Stress Measuring Using EEG Signals

  • Vinayak BairagiEmail author
  • Sanket Kulkarni
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 887)


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.


Mental stress Electroencephalography (EEG) Theta sub-band 



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.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of E&TCAISSMS’s Institute of Information TechnologyPuneIndia

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