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US 12,690,822 B2Granted
Alarm management for monitored physiological variables
AssigneeWelch Allyn, Inc.
InventorsWonKyung McSweeney, Allen R. Hart, Christopher L. Long, Rebecca Quilty-Koval, Chris R. Roberts
Life of this patent
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Abstract
A device for monitoring a patient determines a set of predicted physiological variables using a model trained from physiological variables collected from the patient. The device receives a set of measured physiological variables and a motion measurement. The device compares the set of measured physiological variables to the set of predicted physiological variables to determine a residual vector. The device classifies the residual vector using a vector motion error based on the motion measurement, and performs an action based on the classification of the residual vector.
Claims19
A device for monitoring a patient, comprising:
- a sensor interface that operates to communicate with a motion sensor positioned on a patient support system and at least one physiological sensor;
- a display configured to display data acquired from the at least one physiological sensor;
- a speaker;
- at least one processing device communicatively connected to the sensor interface, the display, and the speaker;
- and
- a memory device storing instructions which, when executed by the at least one processing device, cause the at least one processing device to:
- determine a set of predicted physiological variable values using a model trained using physiological variable measurements collected from the patient;
- receive via the sensor interface a set of physiological variable measurements from the at least one physiological sensor and a motion measurement from the motion sensor;
- compare the set of physiological variable measurements to the set of predicted physiological variable values to determine a residual vector;
- classify the residual vector using a vector motion error based on the motion measurement to indicate a likelihood that a change in a condition of the patient is a true event, wherein the vector motion error represents a predicted influence that the motion measurement has on the physiological variable measurements;
- perform an action based on the classification of the residual vector, the action including triggering an alarm on the device by displaying a visual alarm on the display or causing the speaker to output an audible alarm, pausing the alarm, or increasing a delay for triggering the alarm;
- and
- transmit an alarm notification to a remote device when the classification of the residual vector indicates the true event such that the change in the condition of the patient is detected before a conventional alarm is triggered while mitigating false alarms.
10 more elements
A non-transitory computer readable storage medium storing instructions, which when executed by at least one processing device, cause the at least one processing device to:
- determine a set of predicted physiological variable values using a model trained using physiological variable measurements collected from a patient;
- receive via a sensor interface a set of physiological variable measurements from at least one physiological sensor and a motion measurement from a motion sensor;
- compare the set of physiological variable measurements to the set of predicted physiological variable values to determine a residual vector;
- classify the residual vector using a vector motion error based on the motion measurement to indicate a likelihood that a change in a condition of the patient is a true event, wherein the vector motion error represents a predicted influence that the motion measurement has on the physiological variable measurements;
- perform an action based on the classification of the residual vector, the action including triggering an alarm by displaying a visual alarm on a display or causing a speaker to output an audible alarm, pausing the alarm, or increasing a delay for triggering the alarm;
- and
- transmit an alarm notification to a remote device when the classification of the residual vector indicates the true event such that the change in the condition of the patient is detected before a conventional alarm is triggered while mitigating false alarms.
4 more elements
A method for monitoring a patient, comprising:
- determining a set of predicted physiological variable values using a model trained using physiological variable measurements collected from the patient;
- receiving via a sensor interface a set of physiological variable measurements from at least one physiological sensor and a motion measurement from a motion sensor;
- comparing the set of physiological variable measurements to the set of predicted physiological variable values to determine a residual vector;
- classifying the residual vector using a vector motion error based on the motion measurement to indicate a likelihood that a change in a condition of the patient is a true event, wherein the vector motion error represents a predicted influence that the motion measurement has on the physiological variable measurements;
- performing an action based on the classification of the residual vector, the action including triggering an alarm on a monitoring device by displaying a visual alarm on a display or causing a speaker to output an audible alarm, pausing the alarm, or increasing a delay for triggering the alarm;
- and
- transmitting an alarm notification to a remote device when the classification of the residual vector indicates the true event such that the change in the condition of the patient is detected before a conventional alarm is triggered while mitigating false alarms.
4 more elements
Dependencies are inferred from the claim text.