Apparatus and method for diagnosing obstructive sleep apnea
AssigneesBen-Gurion University of the Negev Research and Development Authority, Mor Research Applications Ltd.
InventorsYaniv Zigel, Ariel Tarasiuk, Nir Ben Israel
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Abstract
An embodiment of the invention provides a method of diagnosing obstructive sleep apnea, the method comprising: acquiring a sleep sound signal comprising sounds made by a person during sleep; detecting a plurality of snore sounds in the sleep sound signal; determining a set of mel-frequency cepstral coefficients for each of the snore sounds; determining a characterizing feature for the sleep sound signal responsive to a sum of the variances of the cepstral coefficients; and using the characterizing feature to diagnose obstructive sleep apnea in the person.
Claims19
A method of diagnosing obstructive sleep apnea (OSA), the method comprising:
- acquiring a sleep sound signal comprising sounds made by a person during sleep;
- detecting a plurality of snore sounds in the sleep sound signal;
- determining a set of mel-frequency cepstral coefficients for each of the snore sounds;
- determining a variance for each of the sets of mel-frequency cepstral coefficients;
- summing the determined variances;
- determining a characterizing feature for the sleep sound signal responsive to the sum of the variances of the cepstral coefficients;
- and
- using the characterizing feature to diagnose OSA in the person, wherein the characterizing feature comprises a numerical value used as an indication of severity of OSA, where a low value means no OSA or a clinically insignificant case of OSA, a medium value means mild OSA, and a high value means severe OSA.
A method of diagnosing OSA, the method comprising:
- acquiring a sleep sound signal comprising sounds made by a person during sleep;
- detecting a plurality of snore sounds in the sleep sound signal;
- determining a set of mel-frequency cepstral coefficients for each of the snore sounds;
- determining a variance for each of the sets of mel-frequency cepstral coefficients;
- summing the determined variances;
- determining a plurality of characterizing features for the sleep sound signal, the features comprising:
- a first feature determined responsive to the sum of the variances of cepstral coefficients of the snore sounds;
- a second feature determined responsive to a measure of an average of variances in energies of snore sounds in groups of the snore sounds;
- a third feature determined responsive to a number of groups of snore sounds that have a variance in snore sounds energies greater than a predetermined variance;
- and
- using the determined features to diagnose OSA in the person, wherein the plurality of characterizing features are used to obtain a numerical value used as an indication of severity of OSA, where a low value means no OSA or a clinically insignificant case of OSA, a medium value means mild OSA, and a high value means severe OSA.
Apparatus for diagnosing OSA, the apparatus comprising:
- a microphone for acquiring a sleep sound signal of a person;
- and
- a computer system configured to:
- detect a plurality of snore sounds in the sleep sound signal;
- determine a set of mel-frequency cepstral coefficients for each of the snore sounds;
- determine a variance for each of the sets of mel-frequency cepstral coefficients;
- summing the determined variances;
- determine a characterizing feature for the sleep sound signal responsive to the sum of the variances of the cepstral coefficients;
- and
- use the characterizing feature to diagnose OSA in the person, wherein the characterizing feature comprises a numerical value used as an indication of severity of OSA, where a low value means no OSA or a clinically insignificant case of OSA, a medium value means mild OSA, and a high value means severe OSA.
Dependencies are inferred from the claim text.