Abstract
This paper presents about the stress which is a significant issue in human world. Because of substantial remaining task at hand, cutoff time in office, nurses work in shifts, and so forth: Stress assumes a significant job in unevenness of human conduct and its tendency. Because of this, they feel furious, miserable, and loss of psyche and experiences high BP, increment in sugar level and now and again get heart diseases. Proposed configuration breaks down the feeling of anxiety by utilizing EEG signal and gives methods to decreasing the worry for improving their work. The main aim to reduce the stress by analyzing the EEG signal as it is high in human, and for that it needs to do the measurable investigation for checking the stress level reduction.
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References
Patil NB, Mirajkar RP, Patil S, Patil P (2017) A method for detection and reduction of stress using EEG signal. (IRJET) Int Res J Eng Technol
Seo SH, Lee JT (2010) Stress and EEG. In: Convergence and hybrid information technologies, Marius Crisan, InTech, pp 413–426
Healey JA, Picard RW (2004) Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans Intell Transp Syst 6(2):1–19
Ghutke P, Joshi S, Timande R (2021) Improving accuracy of classification of emotions using EEG signal and adaptive PSO. In: IOP conference series: materials science and engineering, vol 1170, International Conference on Advanced Materials Behaviour & Characterization (ICAMBC_2021), 24–26 Apr 2021, Tamil Nadu, India
Timande R, Ghutke P (2020) Improving accuracy of emotion detection using brain waves and adaptive swarm intelligence. Int J Innov Technol Exploring Eng (IJITEE) 9(6), ISSN: 2278-3075
Setz C, Arnrich B, Schumm J, La Marca R, Tr¨oster G, Ehlert U (2010) Discriminating stress from cognitive load using a wearable EDA device. IEEE Trans Inf Technol Biomed 14(2)
Agrawal R, Bajaj P (2020) EEG based brain state classification technique using support vector machine—a design approach. In: 3rd International Conference on Intelligent Sustainable Systems (ICISS 2020) organized by SCAD Institute of Technology, Palladam, India from 03–05 Dec 2020, ISBN: 978-1-7281-7089-3/20 2020 IEEE, pp 1523–1528
Krishnaveni V, Jayaraman S, Aravind S, Hariharasudhan V, Ramadoss K (2006) Automatic identification and removal of ocular artifacts from EEG using wavelet transform. Measurement Sci Rev 6(4) (Section 2)
Xu Q, New TL, Guan C (2015) Cluster-based analysis for personalized stress evaluation using physiological signals. IEEE J Biomed Health Inf 19(1)
Chen T, Yuen P, Richardson M, Liu G, She Z (2014) Detection of psychological stress using a hyper spectral imaging technique. IEEE Trans Affective Comput 5(4)
Thakor NV, Sherman DL (2013) EEG signal processing: theory and application, neural engineering. ISBN : 978-1-4614-5226-3
Patil W, Sorte S, Ghutke P, Joshi S (2021) Mapping of the Dobot M1(4axis) robotic arm for actual error free data. PENSEE J 51(6)
Sorte S, Patil W, Joshi S, Ghutke P (2021) Vision system check for authentication of quality of industry automation for detection of system parts using Raspberry Pi. In: International Conference on Research Frontiers in Sciences (ICRFS-2021), Feb 2021
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Ghutke, P., Joshi, S., Patil, W., Sorte, S. (2023). Stress Detection Using EEG Signal in Early Stage and Control Technique. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-19-6088-8_4
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DOI: https://doi.org/10.1007/978-981-19-6088-8_4
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