Abstract: Described is a method and system for analyzing a patient's breaths. The arrangement may include a sensor and a processor. The sensor detects data corresponding to a patient's breathing patterns over a plurality of breaths. The processor separates the detected data into data segments corresponding to individual breaths. Then, the processor analyzes the data segments using a pretrained artificial neural network to classify the breaths based on a likelihood that individual ones of the breaths include an abnormal flow limitation.
Type:
Grant
Filed:
May 12, 2004
Date of Patent:
October 2, 2007
Assignee:
New York University
Inventors:
Robert G. Norman, Indu A. Ayappa, David M. Rapoport