Skip to main content
SpringerLink
Log in

Impact of EEG Signals on Human Brain Before and After Meditation

  • Conference paper
  • First Online:
Proceedings of the International Health Informatics Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 990))

  • 169 Accesses

Abstract

Nowadays, busy life style and increased stress causes numerous mental illnesses such as depression, anger, fatigue, and aggressive behaviour. Stress directly affects a human brain and reduces different brain activity. To find the solution of this global phenomenon of this medical complication, advanced drugs like anti-depressants, anxiolytics are developed which also creates long-term side effects. Meditation can also be an alternative medicine to avoid these medical complications. For centuries, the brain and meditation have been linked. Electroencephalogram (EEG) waves are now used to evaluate electrical impulses which are being generated by the human brain. EEG signals can be collected with the help of an EEG recorder. Different brain wave signals are generated by various physiological activities. The primary brain wave signals are alpha, beta, theta, delta, and gamma, which are produced by various physiological activities. This paper focuses on the impact of EEG signals on the human brain before and after meditation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Attallah O (2020) An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes. Diagnostics 10(5):292

    Google Scholar 

  2. Nabilah AN, Azami SK, Dafhalla AKY, Adibah MH, Naimah Y (2021) The effect of meditation on brain relaxation incorporating different physiological activities. J Phys: Conf Ser 1962(1):012059. IOP Publishing

    Google Scholar 

  3. Alshorman O, Masadeh M, Heyat MBB, Akhtar F, Almahasneh H, Ashraf GM, Alexiou A (2021) Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection. J Integr Neurosci 1–11

    Google Scholar 

  4. Nierhaus T, Vidaurre C, Sannelli C, Mueller KR, Villringer A (2021) Immediate brain plasticity after one hour of brain–computer interface (BCI). J Physiol 599(9):2435–2451

    Article  Google Scholar 

  5. Fulpatil P, Meshram Y (2014) Analysis of EEG signals with the effect of meditation. Int J Eng Res Technol (IJERT) 3(6)

    Google Scholar 

  6. Kora P, Meenakshi K, Swaraja K, Rajani A, Raju MS (2021) EEG based interpretation of human brain activity during yoga and meditation using machine learning: a systematic review. Complement Ther Clin Pract 43:101329

    Article  Google Scholar 

  7. Sharma H, Raj R, Juneja M (2019) EEG signal based classification before and after combined Yoga and Sudarshan Kriya. Neurosci Lett 707:134300

    Article  Google Scholar 

  8. Mariappan R, Subramanian MR (2019) Experimental investigation of cognitive impact of yoga meditation on physical and mental health parameters using electro encephalogram. In: Soft computing and medical bioinformatics. Springer, Singapore, pp 129–139

    Google Scholar 

  9. Gupta N, Sood N, Saini I (2018) Statistical feature based comparison of EEG in meditation for various wavelets. In: 2018 First international conference on secure cyber computing and communication (ICSCCC). IEEE, pp 73–77

    Google Scholar 

  10. Can YS, Arnrich B, Ersoy C (2019) Stress detection in daily life scenarios using smart phones and wearable sensors: a survey. J Biomed Inform 92:103139

    Article  Google Scholar 

  11. Tiwari A, Tiwari R (2017) Design of a brain computer interface for stress removal using Yoga a smartphone application. In: 2017 International conference on computing, communication and automation (ICCCA). IEEE, pp 992–996

    Google Scholar 

  12. Jadhav N, Manthalkar R, Joshi Y (2017) Effect of meditation on emotional response: an EEG-based study. Biomed Signal Process Control 34:101–113

    Article  Google Scholar 

  13. Swain A, Satpathy S, Dutta S, Hamad AA (2021) A statistical analysis for COVID-19 as a contract tracing approach and social network communication management, Int J Comp Appl Tech, 66(3–4)

    Article  Google Scholar 

  14. Satpathy S, Mangla M, Sharma N et al. (2021) Predicting mortality rate and associated risks in COVID-19 patients. Spat Inf Res. 29:455–464

    Google Scholar 

  15. Woodbright M, Verma B, Haidar A (2021) Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. Neurocomputing 444:30–37

    Article  Google Scholar 

  16. Mohapatra S, Satpathy S, Mohanty SN (2022) A comparative knowledge base development for cancerous cell detection based on deep learning and fuzzy computer vision approach. Multimed Tools Appl 81:24799–24814

    Article  Google Scholar 

  17. Mohapatra S, Satpathy S, Paul D (2021) Data-driven symptom analysis and location prediction model for clinical health data processing and knowledgebase development for COVID-19. In: Nandan Mohanty S, Saxena SK, Satpathy S, Chatterjee JM (eds). Appl Artif Intel COVID-19. Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore

    Google Scholar 

  18. Satpathy S, Nandan Mohanty S, Chatterjee JM, Swain A (2021) Comprehensive claims of AI for healthcare applications-coherence towards COVID-19. In: Nandan Mohanty S, Saxen, SK, Satpathy S, Chatterjee JM (eds) Appl Artif Intel COVID-19. Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore

    Google Scholar 

  19. Morais P, Quaresma C, Vigário R, Quintão C (2021) Electrophysiological effects of mindfulness meditation in a concentration test. Med Biol Eng Compu 59(4):759–773

    Article  Google Scholar 

  20. Delorme A, Grandchamp R, Curot J, Barragan-Jason G, Denuelle M, Sol JC, Valton L (2021) Effect of meditation on intracerebral EEG in a patient with temporal lobe epilepsy: a case report. EXPLORE 17(3):197–202

    Article  Google Scholar 

  21. Gupta SS, Manthalkar RR, Gajre SS (2021) Mindfulness intervention for improving cognitive abilities using eeg signal. Biomed Signal Process Control 70:103072

    Article  Google Scholar 

  22. Capon H, O’Shea M, McIver S (2019) Yoga and mental health: a synthesis of qualitative findings. Complement Ther Clin Pract 37:122–132

    Article  Google Scholar 

  23. Tiwari A, Tiwari R (2017) Monitoring and detection of EEG signals before and after yoga during depression in human brain using MATLAB. In: 2017 International conference on computing methodologies and communication (ICCMC). IEEE, pp 329–334

    Google Scholar 

  24. Shaw L, Routray A (2016) Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA. In: 2016 IEEE EMBS international student conference (ISC). IEEE, pp 1–4

    Google Scholar 

  25. Tan LF, Dienes Z, Jansari A, Goh SY (2014) Effect of mindfulness meditation on brain–computer interface performance. Conscious Cogn 23:12–21

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sri Sri University, Cuttack, Odisha, India

    Soumya Samarpita & Rabinarayan Satpathy

Authors
  1. Soumya Samarpita
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rabinarayan Satpathy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Soumya Samarpita .

Editor information

Editors and Affiliations

  1. National Institute of Technology Kurukshetra, Kurukshetra, India

    Sarika Jain

  2. University of Lübeck, Lübeck, Germany

    Sven Groppe

  3. MIT-IBM Watson AI Lab, Cambridge, MA, USA

    Nandana Mihindukulasooriya

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Samarpita, S., Satpathy, R. (2023). Impact of EEG Signals on Human Brain Before and After Meditation. In: Jain, S., Groppe, S., Mihindukulasooriya, N. (eds) Proceedings of the International Health Informatics Conference. Lecture Notes in Electrical Engineering, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-19-9090-8_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-9090-8_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9089-2

  • Online ISBN: 978-981-19-9090-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation