Physiological measurement logic engine
First Claim
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1. A method for reducing processing load of a patient monitor, the method comprising:
- emitting light from a light emitting element of a physiological sensor;
detecting at the physiological sensor light from the light emitting element after it has been attenuated by tissue;
receiving at a patient monitor physiological data from the physiological sensor based at least in part on the detected light;
calculating at the patient monitor in real-time a first value for each feature of one or more features of the physiological data, wherein each feature comprises a plurality of categories;
assigning the physiological data to a category of the plurality of categories for each feature based on a respective first value of the each feature;
assigning a second value to the physiological data for each feature based on the assigned category from the plurality of categories;
determining, using an electronic lookup table, an action from a set of actions to perform based on an aggregation of each second value from each of the one or more features; and
activating an alarm based at least in part on the determined action.
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Abstract
A patient monitor including a physiological measurement logic engine receives physiological data from a physiological sensor. The logic engine abstracts one or more features of the physiological data and determines a category for the abstracted feature. The logic engine further encodes the category of each of the one or more features and determines an action to perform based on the encoded categories.
1000 Citations
23 Claims
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1. A method for reducing processing load of a patient monitor, the method comprising:
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emitting light from a light emitting element of a physiological sensor; detecting at the physiological sensor light from the light emitting element after it has been attenuated by tissue; receiving at a patient monitor physiological data from the physiological sensor based at least in part on the detected light; calculating at the patient monitor in real-time a first value for each feature of one or more features of the physiological data, wherein each feature comprises a plurality of categories; assigning the physiological data to a category of the plurality of categories for each feature based on a respective first value of the each feature; assigning a second value to the physiological data for each feature based on the assigned category from the plurality of categories; determining, using an electronic lookup table, an action from a set of actions to perform based on an aggregation of each second value from each of the one or more features; and activating an alarm based at least in part on the determined action. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A patient monitor system comprising:
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a physiological sensor configured to emit light towards a tissue site, detect the light after it has been attenuated by tissue, and obtain physiological data based at least in part on the detected light; and a patient monitor in communication with the physiological sensor and configured to; receive the physiological data from the physiological sensor; determine one or more features of the physiological data; determine a category for the physiological data within each of the one or more features of the physiological data; associate an action with the physiological data based on the one or more determined categories using an electronic lookup table, wherein associating the action with the physiological data is based on an aggregation of the determined categories when there are multiple determined categories; and activate an alarm based at least in part on the determined action. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer-implemented method for reducing processing load of a patient monitor, the method comprising:
under the control of one or more computing devices of a patient monitor; receiving physiological data from a physiological sensor configured to emit light towards a tissue site, detect the light after it has been attenuated by tissue, and obtain the physiological data based at least in part on the detected light; determining one or more features of the physiological data; determining a category for the physiological data within each of the one or more features of the physiological data; associating an action with the physiological data based on the one or more determined categories, wherein associating the action with the physiological data is based on an aggregation of the determined categories when there are multiple determined categories; and activating an alarm based at least in part on the determined action. - View Dependent Claims (22, 23)
Specification