Method and apparatus for treatment of sleep disorder breathing e

Data processing: artificial intelligence – Neural network – Learning task

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706 15, 706 19, 706 23, 607 2, G06E 100

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059537132

ABSTRACT:
A method and apparatus for treating sleep disorder breathing is disclosed having improved ability to accurately detect pharyngeal wall vibration or other apneic events. An interface or mask is placed over a patient's airway. The interface is coupled to a source of pressurized gas. A respiration-related variable, namely the total pressure in the interface, is measured or sampled. The respiration-related variable is input into an artificial neural network trained to recognize patterns characterizing sleep disorder breathing. Responsive to recognition by the artificial neural network of sleep disorder breathing, pressurized gas is supplied to the patient's airways through the interface.

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"Snore Detection Using A Neural Network" Masters Thesis of Francisco Javier Lopez, Aug. 1994.
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Lopez et al, "An artificial neural network based snore detector"; Proceedings of the 16th annual international conference of the IEEE engineering in medicine and biology society, pp. 1107-1108 vol. 2, Nov. 1994.
Barschdorff, Dieter et al., "Neural Network Based Multi Sensor Heart Sound Analysis", Computers i n Cardiology, IEEE Press, pp. 303-306, 1991.

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