System and method for classifying patient's breathing using artificial neural network
First Claim
Patent Images
1. An arrangement for analyzing a patient'"'"'s breaths, comprising:
- a sensor detecting data corresponding to a patient'"'"'s breathing patterns over a plurality of breaths; and
a processor separating the detected data into data segments, each segment corresponding to an individual breath, the processor analyzing the data segments using a pretrained artificial neural network to classify each breath based on a likelihood that the breath includes an abnormal flow limitation,wherein the classifications include;
(i) a flow limitation is present;
(ii) a flow limitation is probably present;
(iii) a flow limitation is not probably present; and
(iv) a flow limitation is not present.
2 Assignments
0 Petitions
Accused Products
Abstract
Described is a method and system for analyzing a patient'"'"'s breaths. The arrangement may include a sensor and a processor. The sensor detects data corresponding to a patient'"'"'s breathing patterns over a plurality of breaths. The processor separates the detected data into data segments corresponding to individual breaths. Then, the processor analyzes the data segments using a pretrained artificial neural network to classify the breaths based on a likelihood that individual ones of the breaths include an abnormal flow limitation.
-
Citations
24 Claims
-
1. An arrangement for analyzing a patient'"'"'s breaths, comprising:
-
a sensor detecting data corresponding to a patient'"'"'s breathing patterns over a plurality of breaths; and a processor separating the detected data into data segments, each segment corresponding to an individual breath, the processor analyzing the data segments using a pretrained artificial neural network to classify each breath based on a likelihood that the breath includes an abnormal flow limitation, wherein the classifications include;
(i) a flow limitation is present;
(ii) a flow limitation is probably present;
(iii) a flow limitation is not probably present; and
(iv) a flow limitation is not present. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. An arrangement, comprising:
-
a sensor detecting data corresponding to a patient'"'"'s breathing patterns over a plurality of breaths; an input device receiving control data corresponding to a desired diagnosis as to whether (i) a flow limitation is present;
(ii) a flow limitation is probably present;
(iii) a flow limitation is not probably present; and
(iv) a flow limitation is not present in at least one of the breaths; anda processor coupled to the sensor and the input device, the processor separating the detected data into data segments, each segment corresponding to an individual breath, the processor running an artificial neural network and processing the data segments and the corresponding control data to refine the neural network which processes the data segments to generate output data approximating the desired diagnoses.
-
-
14. A method for analyzing a patient'"'"'s breaths, comprising the steps of:
-
obtaining data corresponding to a patient'"'"'s breathing patterns over a plurality of breaths of the patient; processing the detected data into data segments, each segment corresponding to an individual breath; and analyzing each data segment using a pretrained artificial neural network to classify each breath based on a likelihood that the breath includes an abnormal flow limitation, wherein the classifications include;
(i) a flow limitation is present;
(ii) a flow limitation is probably present;
(iii) a flow limitation is not probably present; and
(iv) a flow limitation is not present. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23)
-
-
24. A method, comprising the steps of:
-
detecting, with a sensor, data corresponding a patient'"'"'s breathing patterns over a plurality of breaths of the patient; receiving, with an input device, control data corresponding to a desired diagnosis as to whether (i) a flow limitation is present;
(ii) a flow limitation is probably present;
(iii) a flow limitation is not probably present; and
(iv) a flow limitation is not present in at least one of the breaths;separating, with a processor, the detected data into data segments, each segment corresponding to an individual breath, the processor running an artificial neural network; and processing, with the processor, the data segments and the corresponding control data to refine the neural network which processes the data segments to generate output data approximating the desired diagnoses.
-
Specification