Wearable Computers: A Study on ECG Signal Changes During Everyday Activities

Adam Szczepanski, Khalid Saeed, Andreas Riener, Alois Ferscha

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

This paper deals with the analysis of the ECG signal during the same everyday activities of 5 people working together. The purpose of the work is to determine the influence of such factors as eating, working or walking on the pulse and the average heartbeat shape. The inter-beat intervals and R values are measured and examined. Authors try to draw conclusions which will help them in developing the real-time ECG analysis and diagnostics system. This will help monitor the person all day long and alert the right people in case of emergency.
Original languageEnglish
Title of host publication2011 International Conference on Biometrics and Kansei Engineering
PublisherIEEE CS Press
Pages169-174
Number of pages6
ISBN (Print)978-0-7695-4512-7
DOIs
Publication statusPublished - 2011

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102020 Medical informatics
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems
  • 202017 Embedded systems
  • 211902 Assistive technologies
  • 211912 Product design

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