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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

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Published on: April 21, 2017

Measurements of heart motion using accelerometers.

L Hoff1, O J Elle, M J Grimnes

  • 1Vestfold University College, Horten, Norway.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

Acceleration sensors effectively monitor surgical heart motion, detecting arrhythmias and fibrillation. This technology offers a new method for assessing heart circulation failure.

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Monitoring
  • Surgical Instrumentation

Background:

  • Accurate monitoring of heart motion during surgery is crucial for patient safety.
  • Existing methods may have limitations in capturing detailed cardiac dynamics.
  • Respiration significantly influences measured heart motion, necessitating signal differentiation.

Purpose of the Study:

  • To evaluate the efficacy of acceleration sensors for monitoring heart motion during surgical procedures.
  • To differentiate heart beating motion from respiratory influences.
  • To assess the potential of this technique in identifying indicators of heart circulation failure.

Main Methods:

  • Development of a three-axis accelerometer using commercially available two-axis sensors.
  • Measurement of heart motion in anesthetized pigs.
  • High-pass filtering at 1.0 Hz to isolate heart beating from respiration, followed by numerical integration to calculate velocity and position.

Main Results:

  • Acceleration sensor data accurately reproduced detailed heart motion with minimal noise.
  • Cardiac events such as arrhythmias and fibrillation were clearly identifiable in the acceleration traces.
  • Correlation with simultaneously recorded electrocardiogram (ECG) data confirmed the findings.

Conclusions:

  • Acceleration sensors provide high-resolution measurements of heart motion.
  • The technique can successfully distinguish cardiac beating from respiratory artifacts.
  • Detected motion patterns show promise for indicating potential heart circulation failure.