Neural Network For Predicting Respiratory Disturbance Index

Description:
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:
Jeff Dunbar
IPD Director
University at Buffalo
716 645-8134
dunbarj@buffalo.edu
Inventors:
Brydon j. Grant
Ali El-Solh
Keywords:
Technology
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