False alarm reduction systems and related methods
First Claim
1. A system for determining the relevancy of a plurality of alarms, the system comprising:
- a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data;
a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data, wherein the medical monitoring device is further configured to issue a plurality of alarm states; and
a processing unit coupled to the medical monitoring device through a telecommunication channel, wherein the processing unit is configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states using a coalition-based feature selection method, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user;
wherein the coalition-based feature selection method includes a Banzhaf power and classifies a one or more chosen top informative alarms from the plurality of top informative alarms into false alarms and true alarms using a Bayes-Net classifier using the processing unit; and
wherein choosing the plurality of top informative alarms comprises determining a most informative subset of alarm states from among the plurality of alarm states, wherein determining further comprises establishing a relevance of the subset of alarm states to a target user and determining an interdependence among the subset of alarm states.
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Accused Products
Abstract
Implementations of a system for determining the relevancy of a plurality of alarms may include: a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data, a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, and wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data. The medical monitoring device may be further configured to issue a plurality of alarm states, and a processing unit coupled to the medical monitoring device through a telecommunication channel, is then configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user.
8 Citations
18 Claims
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1. A system for determining the relevancy of a plurality of alarms, the system comprising:
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a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data; a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data, wherein the medical monitoring device is further configured to issue a plurality of alarm states; and a processing unit coupled to the medical monitoring device through a telecommunication channel, wherein the processing unit is configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states using a coalition-based feature selection method, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user; wherein the coalition-based feature selection method includes a Banzhaf power and classifies a one or more chosen top informative alarms from the plurality of top informative alarms into false alarms and true alarms using a Bayes-Net classifier using the processing unit; and wherein choosing the plurality of top informative alarms comprises determining a most informative subset of alarm states from among the plurality of alarm states, wherein determining further comprises establishing a relevance of the subset of alarm states to a target user and determining an interdependence among the subset of alarm states. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for determining the relevancy of a plurality of alarms, the method comprising:
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gathering physiological data using a plurality of sensors, wherein the plurality of sensors is configured to be coupled to a patient; determining a physiological state of the patient using the physiological data, using a medical monitoring device coupled to the plurality of sensors through a telecommunication channel; using the medical monitoring device, issuing a plurality of alarm states; evaluating the plurality of alarm states using a processing unit, the processing unit configured to use a coalition-based feature selection method; determining the relevancy of each alarm state of the plurality of alarm states using the processing unit; and issuing one or more alarms corresponding with each relevant alarm state to a computing device associated with a user; wherein the coalition-based feature selection method includes a Banzhaf power and classifies a one or more chosen top informative alarms from the plurality of top informative alarms into false alarms and true alarms using a Bayes-Net classifier using the processing unit; and wherein choosing the plurality of top informative alarms comprises determining a most informative subset of alarm states from among the plurality of alarm states, wherein determining further comprises establishing a relevance of the subset of alarm states to a target user and determining an interdependence among the subset of alarm states. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A method for issuing an alarm regarding a physiological state of a patient, the method comprising:
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receiving a plurality of alarm states from a medical monitoring device at a processing unit through a telecommunication channel; choosing a plurality of top informative alarms using a Banzhaf power and the processing unit; classifying a one or more chosen top informative alarms from the plurality of top informative alarms into false alarms and true alarms using a Bayes-Net classifier using the processing unit; and issuing at least one alarm to a computing device associated with a user if any one or more chosen top informative alarms is classified as true; wherein choosing the plurality of top informative alarms further comprises determining a most informative subset of alarm states from among the plurality of alarm states, wherein determining further comprises establishing a relevance of the subset of alarm states to a target user and determining an interdependence among the subset of alarm states. - View Dependent Claims (17, 18)
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Specification