SYSTEM AND METHOD FOR DETECTING RESPIRATORY INSUFFICIENCY IN THE BREATHING OF A SUBJECT
First Claim
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1. A system configured to detect respiratory insufficiency, the system comprising:
- (a) one or more processors configured to obtain information related to the breathing of a subject, and to execute one or more modules, the one or more modules comprising;
(1) a parameter module configured to determine parameters of the breathing of the subject based on the information obtained by the processor, wherein the parameters are determined on a per preliminary breath basis, wherein the preliminary breath basis refers to individual breaths and not to a quality of the breaths, but only a level of analysis in identifying respiration,(2) a key parameter module configured to infer a value for a key parameter of the breathing of the subject on a per preliminary breath basis from the parameters determined by the parameter module, wherein the key parameter is a parameter that is not directly derivable from the information obtained by the processor, further wherein the key parameter module includes an artificial neural network that models a relationship between a predetermined set of breathing parameters and the key parameter, wherein responsive to inputs of the breathing parameters for a given breath, the artificial neural network outputs the value for the key parameter for the given breath, and(3) a classification module configured to detect respiratory insufficiency in the breathing of the subject as being valid or artifact by comparing the inferred value of the key parameter to a predetermined threshold, and to classify, in response to the comparison, individual breaths as being valid, productive breaths or artifact, deficient breaths.
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Abstract
Respiratory insufficiency is detected by classifying preliminary breaths identified through a capnogram as being valid or artifact. Individual breaths are classified as being valid or artifact by determining values of a plurality of breathing parameters for a given breath, inferring a value for a key parameter from the determined values for the plurality of breathing parameters, and comparing the inferred value for the key parameter to a predetermined threshold.
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Citations
22 Claims
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1. A system configured to detect respiratory insufficiency, the system comprising:
(a) one or more processors configured to obtain information related to the breathing of a subject, and to execute one or more modules, the one or more modules comprising; (1) a parameter module configured to determine parameters of the breathing of the subject based on the information obtained by the processor, wherein the parameters are determined on a per preliminary breath basis, wherein the preliminary breath basis refers to individual breaths and not to a quality of the breaths, but only a level of analysis in identifying respiration, (2) a key parameter module configured to infer a value for a key parameter of the breathing of the subject on a per preliminary breath basis from the parameters determined by the parameter module, wherein the key parameter is a parameter that is not directly derivable from the information obtained by the processor, further wherein the key parameter module includes an artificial neural network that models a relationship between a predetermined set of breathing parameters and the key parameter, wherein responsive to inputs of the breathing parameters for a given breath, the artificial neural network outputs the value for the key parameter for the given breath, and (3) a classification module configured to detect respiratory insufficiency in the breathing of the subject as being valid or artifact by comparing the inferred value of the key parameter to a predetermined threshold, and to classify, in response to the comparison, individual breaths as being valid, productive breaths or artifact, deficient breaths. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of detecting respiratory insufficiency, the method comprising:
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obtaining information related to the breathing of a subject; determining parameters of the breathing of the subject based on the obtained information wherein the parameters are determined on a per preliminary breath basis, wherein the preliminary breath basis refers to individual breaths and not to a quality of the breaths, but only a level of analysis in identifying respiration; inferring a value for a key parameter of the breathing of the subject on a per preliminary breath basis from the determined parameters, wherein the key parameter is a parameter not directly derivable from the obtained information related to the breathing of the subject, further wherein inferring the key parameter includes using an artificial neural network that models a relationship between a predetermined set of breathing parameters and the key parameter, wherein responsive to inputs of the breathing parameters for a given breath, the artificial neural network outputs the value for the key parameter for the given breath; and detecting respiratory insufficiency in the breathing of the subject as being valid or artifact by comparing the inferred value of the key parameter to a predetermined threshold, and classifying, in response to the comparison, individual breaths as being valid, productive breaths or artifact, deficient breaths. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A system configured to detect respiratory insufficiency, the system comprising:
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means for obtaining information related to the breathing of a subject; means for determining parameters of the breathing of the subject based on the obtained information, wherein the parameters are determined on a per preliminary breath basis, wherein the preliminary breath basis refers to individual breaths and not to a quality of the breaths, but only a level of analysis in identifying respiration; means for inferring a value for a key parameter of the breathing of the subject on a per preliminary breath basis from the determined parameters, wherein the key parameter is a parameter not directly derivable from the obtained information related to the breathing of the subject, further wherein inferring the key parameter includes using an artificial neural network that models a relationship between a predetermined set of breathing parameters and the key parameter, wherein responsive to inputs of the breathing parameters for a given breath, the artificial neural network outputs the value for the key parameter for the given breath; and means for detecting respiratory insufficiency in the breathing of the subject by comparing the inferred value of the key parameter to a predetermined threshold. - View Dependent Claims (16, 17, 19, 20, 21)
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18. (canceled)
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22-39. -39. (canceled)
Specification