Compumedics Limited

Eugene Zilberg

David Burton

The present invention monitors and interprets physiological signals and spontaneous breathing events to detect the onset of arousal. Once the onset of arousal is determined, the present invention determines adjustments that are needed in the operation of a therapeutic device to avoid or minimize arousals. In one embodiment, the present invention includes one or more sensors which detect a patient's physiological parameters, a controller which monitors and determines the onset of arousal based on the physiological variables received from the sensor, and a therapeutic treatment device which is controlled by the controller. The sensor can be a combination of one or more devices which are able to monitor a physiological parameter that is used by the present invention to determine the onset of arousal or the onset of a sleep disorder. The sensors can be integrated into one unit or may operate independent of the others.

Method and apparatus for maintaining and monitoring sleep quality during therapeutic treatments

An algorithm for measuring the breathing of a patient for diagnosing breathing disorders and for controlling a breathing aid device for treating a patient. Sensors record pressure and flow rates of air delivered to a patient. The data is statistically manipulated to find the start of a breath, the end of a breath, the duration of a breath, the shape of a breath, the volume of a breath, the breathing rates, flow rates, snoring index, flattening index, and other useful data to diagnose and treat a patient. The data is used to diagnose the condition of a patient and to control a breathing aide device for treating a patient at the most optimal pressures and flow rates for the patient's condition. Inspiration and expiration data are tracked separately and compared throughout the algorithm as a check the accuracy of the data manipulation by the algorithm.

Algorithm for automatic positive air pressure titration

The systems of the present invention provide improved accuracy in monitoring, analysing, detecting, predicting and/or providing alerts and alarms associated with depth of anaesthesia, depth of consciousness, hypnotic state, sedation depth, fatigue or vigilance of a subject, with as few as 3 surface electrodes. The systems incorporate real-time phase, amplitude and frequency analysis of a subject's electro-encephalogram. The systems weight outputs of various types of analyses to produce an integrated analysis or display for precise indication or alert to users of the systems including anaesthetists, nurses and other medical personnel, transport drivers and machine workers. The systems weight the outputs of one or more analysis algorithms including combinations of simultaneous, real-time R&K analysis, AEP spectral analysis-SEF-MF, Bi-coherence analysis, initial wave analysis, auditory response, arousal analysis, body movement analysis, 95% spectral edge analysis and anaesthetic phase and spectral energy variance measurement in association with a subject's state of consciousness.

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Sandringham, Australia

Eugene Zilberg