Accurate Automatic Detection of End-Diastole From Left Ventricular Pressure Using Peak Curvature

@article{Mynard2008AccurateAD,
  title={Accurate Automatic Detection of End-Diastole From Left Ventricular Pressure Using Peak Curvature},
  author={Jonathan P. Mynard and Daniel J. Penny and Joseph J. Smolich},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2008},
  volume={55},
  pages={2651-2657}
}
Precise identification of end-diastole (ED), corresponding to the end of diastole and start of systole, is crucial for accurate assessment of cardiac function. The aims of this study were to develop a new algorithm based on peak curvature (kappa<i>p</i>) for detecting ED as a ldquocornerrdquo in left ventricular pressure (LVP) signals, and to compare this approach with ldquogold-standardrdquo ED obtained by manual annotation (ED<sub>man</sub>) and ED calculated with previously described… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 42 REFERENCES

Transmural mechanics at left ventricular epicardial pacing site.

  • American journal of physiology. Heart and circulatory physiology
  • 2004
VIEW 16 EXCERPTS
HIGHLY INFLUENTIAL

A Semi-Automatic Feature Detection Algorithm for Hemodynamic Signals using Curvature-Based Feature Extraction

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Effects of pulmonary insufficiency on biventricular function in the developing heart of growing swine

T. Kuehne, M. Saeed, +4 authors P. Moore
  • Circulation, vol. 108, no. 16, pp. 2007–2013, 2003.
  • 2007
VIEW 1 EXCERPT

Assessment of left ventricular diastolic suction in dogs using wave-intensity analysis.

  • American journal of physiology. Heart and circulatory physiology
  • 2005
VIEW 2 EXCERPTS