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Signal Processing

  • Floris Ernst
Chapter

Abstract

Actively compensating for respiratory and pulsatory motion-as outlined in section 2.5-requires real time tracking of marker positions on the patient’s chest and subsequent prediction (see chapter 4) and correlation (see chapter 5). It is clear that we deal with some kind of control process: the robot is moved in real time according to processed sensory input from the tracking system. To quantify the accuracy of the individual processing steps, new evaluation metrics are introduced (section 3.2), a new method to reduce measurement noise will be discussed (section 3.3, published in [7, 10]), the noise level of different tracking systems will be evaluated (section 3.4) and motion artefacts inherent to active optical cameras will be analysed (section 3.5, published in [8]).

Keywords

Root Mean Square Error Light Emit Diode Root Mean Square Discrete Fourier Transform Distance Error 
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 Science+Business Media, LLC 2012

Authors and Affiliations

  • Floris Ernst
    • 1
  1. 1.Institute for Robotics and Cognitive SystemsUniversity of LübeckLübeckGermany

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