Skip to main content

Stress Determent via QRS Complex Detection, Analysis and Pre-processing

  • Conference paper
  • First Online:
Mobile Networks for Biometric Data Analysis

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 392))

Abstract

Stress is recognized as a predominant disease with raising costs for rehabilitation and treatment. Currently there several different approaches that can be used for determining and calculating the stress levels. Usually the methods for determining stress are divided in two categories. The first category do not require any special equipment for measuring the stress. This category useless the variation in the behaviour patterns that occur while stress. The core disadvantage for the category is their limitation to specific use case. The second category uses laboratories instruments and biological sensors. This category allow to measure stress precisely and proficiently but on the same time they are not mobile and transportable and do not support real-time feedback. This work presents a mobile system that provides the calculation of stress. For achieving this, the of a mobile ECG sensor is analysed, processed and visualised over a mobile system like a smartphone. This work also explains the used stress measurement algorithm. The result of this work is a portable system that can be used with a mobile system like a smartphone as visual interface for reporting the current stress level.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Notes

  1. 1.

    QRS complex: Name for the combination of three of the graphical deflections can be seen on a typical electrocardiogram (ECG).

  2. 2.

    http://arduino.cc.

References

  1. WHO (2000) Cross-national comparisons of the prevalences and correlates of mental disorders. Bull World Health Organ, pp 413–426

    Google Scholar 

  2. Martínez Fernández J, Augusto JC, Seepold R, Martínez Madrid N (2010) Why traders need ambient intelligence. Springer, Heidelberg

    Google Scholar 

  3. Martínez Fernández J, Augusto JC, Trombino G, Seepold R, Martínez Madrid N (2013) Self-aware trader: a new approach to safer trading. J Univ Comput Sci

    Google Scholar 

  4. Kidd T, Carvalho LA, Steptoe A (2014) The relationship between cortisol responses to laboratory stress and cortisol profiles in daily life. Biol Psychol 25(02):34–40

    Article  Google Scholar 

  5. Torbjörn Å, John A, Mats L, Nicola O, Göran K (2014) Do sleep, stress, and illness explain daily variations in fatigue? J Psychosom Res 20(01):280–285

    Google Scholar 

  6. Kirschbaum C, Pirke KM, Hellhammer DH (193) The ‘Trier Social Stress Test’—a tool for investigating pyschobiological stress responses in a laboratory settings. Neuropychobiologie 28:78–81

    Google Scholar 

  7. Stroop JR (1935) Studies of interference in serial verbal reactions. J Exp Psychol 18:643–662

    Article  Google Scholar 

  8. Martinez Madrid N, Martinez Fernandes J, Seepold R, Augusto JC (2013) Ambient assisted living (AAL) and smart homes. In: Springer series on chemical sensors and biosensors. vol 13, pp 39–71

    Google Scholar 

  9. Fernandez JM, Augusto JC, Seepold R, Madrid NM (2012) A sensor technology survey for a stress aware trading process. IEEE Trans Syst Man Cybernet Part C Appl Rev 42(6):809–824

    Article  Google Scholar 

  10. Gunawardhane SD, De Silva PM, Kulathunga DS, Arunatileka SM (2013) Non invasive human stress detection using key stroke dynamics and pattern variations. In: International conference on advances in ICT for emerging regions (ICTer), Colombo

    Google Scholar 

  11. Vizer L, Zhou L, Sears A (2009) Automated stress detection using keystroke and linguistic features: an exploratory study. Int J Human-Comput Stud 67(10):870–886

    Article  Google Scholar 

  12. Healey JA, Picard RW (2005) Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans Intell Transp Syst 6(2)

    Google Scholar 

  13. Juliane H, Melanie S (2012) The physiological response to Trier Social Stress Test relates to subjective measures of stress during but not before or after the test. Psychoneuroendocrinology 37(1)

    Google Scholar 

  14. Dubin D (2000) Rapid interpretation of EKG’s. COVER Publishing Co., Tampa, Florida

    Google Scholar 

  15. Israel SA, Irvineb JM, Chengb A, Wiederholdc MDD, Wiederholdd BK (2004) ECG to identify individuals. Pattern Recogn 21(05):133–142

    Google Scholar 

  16. Hirsch JA, Bishop B (1981) Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am J Physiol Heart Circulatory Physiol (New York)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wilhelm Daniel Scherz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Scherz, W.D., Ortega, J.A., Seepold, R., Madrid, N.M. (2016). Stress Determent via QRS Complex Detection, Analysis and Pre-processing. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39700-9_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39698-9

  • Online ISBN: 978-3-319-39700-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics