Noise-robust sleep apnea diagnostic system and related method
AssigneeUniversity of South Florida
InventorsTrung Quoc Le, Phat Kim Huynh
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Abstract
Methods and systems for obstructive sleep apnea diagnosis and prediction are disclosed. The methods and systems include: obtaining a white noise contaminated sensor signal for a patient; extracting a feature based on the white noise contaminated sensor signal; determining a matrix based on the feature; determining an intermittent forcing signal based on the matrix; determining an overcomplete representation of the intermittent forcing signal; and generating an obstructive sleep apnea indication based on the overcomplete representation and a threshold. Other aspects, embodiments, and features are also claimed and described.
Claims20
A method for obstructive sleep apnea detection comprising:
- obtaining a white noise contaminated sensor signal for a patient;
- extracting a feature based on the white noise contaminated sensor signal;
- determining a matrix based on the feature;
- determining an intermittent forcing signal based on the matrix;
- determining an overcomplete representation of the intermittent forcing signal;
- and
- generating an obstructive sleep apnea indication based on the overcomplete representation and a threshold.
A system for obstructive sleep apnea detection comprising:
- a memory;
- and
- a processor communicatively coupled to the memory;
- wherein the memory stores a set of instructions which, when executed by the processor, causes the processor to:
- obtain a white noise contaminated sensor signal for a patient;
- extract a feature based on the white noise contaminated sensor signal;
- determine a matrix based on the feature;
- determine an intermittent forcing signal based on the matrix;
- determine an overcomplete representation of the intermittent forcing signal;
- and
- generate an obstructive sleep apnea indication based on the overcomplete representation and a threshold.
Dependencies are inferred from the claim text.