Skip to main content
  • Poster presentation
  • Published:

The Gliding-SLICE method: an enhanced tool for estimation of intratidal respiratory mechanics


Focusing on lung-protective ventilation, the analysis of nonlinear dynamic respiratory mechanics appears crucial. Based on the SLICE method we developed the Gliding-SLICE method as a tool to determine respiratory system mechanics. This tool was tested in a nonlinear water-filled two-chamber lung model.


The classic SLICE method [1] determines parameters of the respiratory system for abutted volume ranges. The Gliding-SLICE method enhances this method by moving a window of analysis along the volume axis. This way, a quasi-continual course of intratidal mechanics can be determined. To test the new method we build up a physical model that consists of two connected chambers filled with water. During inspiration water is displaced from one chamber to the other resulting in a counter pressure. Using wedges of certain shapes we simulated volume-dependent nonlinear compliances.


Using the Gliding-SLICE method we determined a nonlinear course of compliance in a patient (Figure 1) and in model data (Figure 2).

Figure 1
figure 1

abstract P204

Figure 2
figure 2

abstract P204


The Gliding-SLICE method allows one to calculate mechanical parameters of the respiratory system quasi-continually. This allows a more intuitive interpretation of data. The method is not limited to principle constrictions but can be enhanced by ventilatory maneuvers; for example, for separated view on inspiratory and expiratory respiratory mechanics.


  1. Guttmann , et al.: Technol Health Care. 1994, 2: 175-191.

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations


Rights and permissions

Reprints and permissions

About this article

Cite this article

Schumann, S., Stahl, C., Steinmann, D. et al. The Gliding-SLICE method: an enhanced tool for estimation of intratidal respiratory mechanics. Crit Care 11 (Suppl 2), P204 (2007).

Download citation

  • Published:

  • DOI: