EARLY DETECTION OF HEMODYNAMIC DECOMPENSATION USING TAUT-STRING TRANSFORMATION

摘要

Techniques develop models for classification for physical conditions of a subject based on monitored physiologic signal data. The models for classification are determined from data transformed and feature extracted using a Taut- string transformation and in some instances using a further Stockwell-transformation, applied in parallel or in series. Physical conditions, specifying the state of hemodynamic stability and reflective of the cardiovascular and nervous systems, are thus modeled using these techniques.