EXPERT SYSTEM FOR PATIENT MEDICAL INFORMATION ANALYSIS
First Claim
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1. A system comprising:
- a plurality of input devices each of which provides an input signal based on a patient state, the plurality of input devices including at least one implantable sensor and at least one external sensor;
a knowledge base corresponding to the plurality of input devices;
an inference engine coupled to the plurality of input devices and having access to the knowledge base, wherein the inference engine includes a processor to implement a fuzzy logic algorithm to generate an inference of a patient condition based on application of the algorithm to the knowledge base and at least one input signal provided by said input devices, wherein the knowledge base is adjusted for use in later analysis by using an adaptive feedback signal derived from the inference, and wherein the adaptive feedback signal includes a weighting factor to adjust a weight ascribed to the input signal by the knowledge base; and
an output device to generate an output to indicate a therapy based on the inference and to provide the output to a user or a process to provide the therapy.
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Abstract
A plurality of chronic sensors are used to facilitate diagnosis and medical decision making for an individual patient. An expert system evaluates the sensor data, combines the sensor data with stored probability data and provides an output signal for notification or medical intervention.
46 Citations
20 Claims
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1. A system comprising:
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a plurality of input devices each of which provides an input signal based on a patient state, the plurality of input devices including at least one implantable sensor and at least one external sensor; a knowledge base corresponding to the plurality of input devices; an inference engine coupled to the plurality of input devices and having access to the knowledge base, wherein the inference engine includes a processor to implement a fuzzy logic algorithm to generate an inference of a patient condition based on application of the algorithm to the knowledge base and at least one input signal provided by said input devices, wherein the knowledge base is adjusted for use in later analysis by using an adaptive feedback signal derived from the inference, and wherein the adaptive feedback signal includes a weighting factor to adjust a weight ascribed to the input signal by the knowledge base; and an output device to generate an output to indicate a therapy based on the inference and to provide the output to a user or a process to provide the therapy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method comprising:
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receiving a plurality of input signals, at least one input signal generated by an implantable sensor and at least one input signal generated by an external device monitoring a patient state; executing a program on a processor to generate an inference of a patient condition, wherein the program implements a fuzzy logic algorithm and applies the algorithm to the plurality of input signals and a knowledge base to generate the inference; adjusting the knowledge base for use in later analysis by using an adaptive feedback signal, the adaptive feedback signal generated based on the inference of the patient condition and including a weighting factor to adjust a weight ascribed to at least one of the input signals by the knowledge base; and producing an output to indicate a therapy based on the inference, and providing the output indicating the therapy to a user or process to provide the indicated therapy. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification