Non-invasive methods applied for complex signals

摘要

This paper presents the application of a novel algorithm on virtually generateddata from patients during anesthesia. Realistic artefacts are simulated in order tovalidate the usefulness of the proposed methods in separating the signal components:biological trend and artefacts. The results show that the proposed new algorithm can besuccessfully employed on biological signals to dynamically extract information anddistil useful parameters for clinical evaluation.