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

  • Wilhelm Daniel Scherz
  • Juan Antonio Ortega
  • Ralf Seepold
  • Natividad Martínez Madrid
Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (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.

Keywords

Heart Rate Variability High Heart Rate Dangerous Situation Body Area Network Driving Simulator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Wilhelm Daniel Scherz
    • 1
  • Juan Antonio Ortega
    • 2
  • Ralf Seepold
    • 1
  • Natividad Martínez Madrid
    • 3
  1. 1.HTWG KonstanzKonstanzGermany
  2. 2.Universidad de SevillaSevilleSpain
  3. 3.Reutlingen UniversityReutlingenGermany

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