Universidad De Valladolid

Roberto Hornero Sánchez

Pedro Mateo Riobo Aboy

Carlos Gómez Peña

Daniel Álvarez González

José Victor Marcos Martín

Félix Del Campo Matías

Disclosed embodiments include a method and an apparatus for monitoring sleep apnea severity that comprise: (a) analyzing an oxygen saturation signal to extract a plurality of time-domain and frequency-domain metrics; (b) calculating an oxygen saturation-based Apnea Hyponea Index (AHI) by employing a predetermined functional mapping between said metrics and polysomnography (PSG)-based AHI; and (c) displaying an oxygen saturation-based AHI to enable a specialist to monitor sleep apnea severity without requiring PSG. According to a particular embodiment, the oxygen saturation signal is nocturnal oxygen saturation and the functional mapping is a multilinear regression model (MLR) or a multilayer perceptron network (MLP).

Method and apparatus for monitoring sleep apnea severity

The present invention discloses a method and related apparatus for determining a cardiac parameter from either the arterial blood pressure signal or the photoplethysmographic signal to quantify the degree of amplitude modulation due to respiration (pulse pressure variation) and predict fluid responsiveness. The method involves the application of Lempel-Ziv complexity to a filtered and segmented physiologic signal for direct determination of the fluid status of a patient. Real-time monitoring of fluid status involves the implementation of the disclosed method as part of a bedside monitoring apparatus.

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Valladolid, Spain

Roberto Hornero Sánchez