Advertisement

Detection of Activity Transition

  • Subhasis Chaudhuri
  • Siddhartha Duttagupta
  • Tanmay D. Pawar
Chapter

Abstract

In an ambulatory cardiac monitoring system using wearable ECG recorders (W-ECG), the motion artifact is generated in the ECG signal due to body movement activity (BMA) of the subject. This is because, as explained earlier, BMA causes the skin to stretch or contract and hence the interface between ECG electrodes and the skin is disturbed. Based on such a dependence of motion artifact on BMA we hypothesize that a specic class of BMA will result in a specic signature of the artifact. As a corollary any abrupt change in the BMA should also be reected as an abrupt change in the motion artifact signal. To test these hypotheses we analyze the ECG beat-by-beat in temporal continuation and try to detect abrupt changes in the motion artifact signal due to the abrupt changes or transitions in the types of BMA.

Keywords

Motion Artifact Transition Detection Sleep Position Cardiac Signal Beat Period 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  • Subhasis Chaudhuri
    • 1
  • Siddhartha Duttagupta
    • 1
  • Tanmay D. Pawar
    • 1
  1. 1.Department of Electrical EngineeringIndian Institute of Technology, BombayMumbaiIndia

Personalised recommendations