Patent ID: 8905928

Claim:
A method of differentiating between central apnea, hypopnea, and normal breathing during sleep in a subject, the method comprising: collecting, by a computing device, load cell signal data from one or more load cells, the load cells being positioned below one or more supports of a bed such that the bed and the one or more bed supports are physically supported by the load cells, the load cell signal data indicating force exerted against the load cell, the collecting being performed while the subject is sleeping; decimating, by the computing device, the load cell signal data to obtain downsampled load cell signal data; filtering, by the computing device, the load cell signal data to obtain filtered load cell signal data; extracting, by the computing device, features from the downsampled load cell signal data; extracting, by the computing device, features from the filtered load cell signal data; applying, by the computing device, a classifier to the features extracted from the downsampled load cell signal data and the features extracted from the filtered load cell signal data to classify the load cell signal data, the classifier differentiating between central apnea, hypopnea, and normal breathing; and identifying, by the computing device, central apnea, hypopnea or normal breathing in the subject based on the classification of the load cell signal data.