Neural Network for Predicting Respiratory Disturbance Index


The invention is an artificial neural network that can predict the respiratory disturbance index of patients suspected of sleep apnea syndrome. An artificial neural network is a numerical processor that accepts multiple features simultaneously, usually in digital form about a series of individual cases. Artificial neural networks have a propensity for storing experiential knowledge and making that knowledge available for use such as predicting the outcome of new cases. The system's output is a predicted respiratory disturbance index with a 95% confidence limits.

Patent Information:
For Information, Contact:
Jeffrey Dunbar
University at Buffalo
716 645-8134
Brydon j. Grant
Ali El-Solh
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