Neural networks in sedation and analgesia systems
First Claim
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1. A sedation and analgesia system, comprising:
- two or more patient health monitor devices adapted so as to be coupled to a patient and so as to each generate a separate input signal reflecting a parameter of a physiological condition of the patient;
a user interface;
a drug delivery controller for delivering a drug dosage rate of sedative to the patient during a procedure; and
an electronic controller interconnected with the patient health monitors, the user interface, and the drug delivery controller, wherein said electronic controller further comprises a threshold logic unit which receives said input signals, multiplies each of said input signals by a predetermined weight corresponding to each of said parameters to achieve a weighted input signal for each corresponding input signal, combines the weighted input signals, and compares the weighted input signals against a predetermined threshold value that correlates to safe and effective sedation during said procedure to determine an action of said electronic controller.
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Abstract
The present invention comprises systems and methods for handling large amounts of data prone to ambiguity and artifact in real-time in order to ensure patient safety while performing a procedure involving a sedation and analgesia system. The invention utilizes neural networks to weight data which may be more accurate or more indicative of true patient condition such that the patient condition reported to the controller and the user of a sedation and analgesia system will have increased accuracy and the incidence of false positive alarms will be reduced.
66 Citations
12 Claims
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1. A sedation and analgesia system, comprising:
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two or more patient health monitor devices adapted so as to be coupled to a patient and so as to each generate a separate input signal reflecting a parameter of a physiological condition of the patient; a user interface; a drug delivery controller for delivering a drug dosage rate of sedative to the patient during a procedure; and an electronic controller interconnected with the patient health monitors, the user interface, and the drug delivery controller, wherein said electronic controller further comprises a threshold logic unit which receives said input signals, multiplies each of said input signals by a predetermined weight corresponding to each of said parameters to achieve a weighted input signal for each corresponding input signal, combines the weighted input signals, and compares the weighted input signals against a predetermined threshold value that correlates to safe and effective sedation during said procedure to determine an action of said electronic controller. - View Dependent Claims (2, 3, 4, 5)
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6. A sedation and analgesia system, comprising:
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two or more patient health monitor devices adapted so as to be coupled to a patient and so as to each generate a separate input signal reflecting a parameter of a physiological condition of the patient; a user interface; a drug delivery controller supplying one or more drugs to the patient; and
an electronic controller interconnected with the patient health monitors, the user interface, and the drug delivery controller, said electronic controller receiving said input signals from the patient health monitors and comparing said input signals to parameters that indicate whether a given patient is experiencing or in danger of experiencing an undesirable patient condition while receiving said one or more drugs at said drug delivery rate, and said electronic controller thereby generating a signal reflecting the monitored physiological condition of the patient and indicating modifications of said drug delivery to avoid said undesirable patient condition during said medical procedure wherein said electronic controller further comprises a neural network to evaluate input signals to determine an action of said electronic controller, wherein said neural network comprises a set of inputs that make up a first layer of nodes, a set of hidden nodes, and a set of output nodes, wherein said inputs are related to any suitable feature of said patient health monitors. - View Dependent Claims (7, 8, 9, 10, 11, 12)
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Specification