PROBLEM TO BE SOLVED: To propose a diagnostic apparatus for detecting sleep disordered breathing patterns.SOLUTION: A signal representing a patient's respiration is split into equal-length epochs. A primary feature is extracted from each epoch that acts as a compressed representation of the signal events. Statistics are applied to the primary feature to produce one or more secondary features that represent the entire epoch. Each secondary feature is grouped with one or more other features that are extracted from the entire epoch rather than selected epoch events. This grouping is the epoch pattern. The pattern is manipulated with suitable classifier algorithm to produce a probability at which the signal may represent a disease state, for each class within the algorithm. The epoch is assigned to the class with the highest probability. If an analysis of breathing reveals that the length of a hyperpnoea exceeds a parameter, a Cheyne-Stoke is present.
METHOD FOR DETECTING AND DISCRIMINATING BREATHING PATTERN FROM RESPIRATORY SIGNAL