Seizure detection algorithm adjustment
First Claim
1. A method comprising:
- receiving, with processing circuitry, a first signal indicative of a physiological parameter of a patient, wherein the physiological parameter comprises a bioelectrical brain signal;
receiving, with the processing circuitry, a second signal indicative of a patient parameter of the patient, wherein the patient parameter comprises at least one of patient motion, patient posture, intracranial pressure, respiration rate, heart rate, or muscle activity; and
adjusting, with the processing circuitry, a seizure detection algorithm of a medical device based on the first and second signals, wherein adjusting the seizure detection algorithm comprises;
identifying, with the processing circuitry, a target seizure based on the second signal;
determining, with the processing circuitry, that the medical device, while implementing the seizure detection algorithm, did not identify the target seizure based on the first signal;
in response to determining that the medical device did not identify the target seizure based on the first signal, determining that a portion of the first signal associated with the target seizure is not indicative of a baseline non-seizure state of the patient; and
in response to determining that the portion of the first signal associated with the target seizure is not indicative of the baseline non-seizure state of the patient, adjusting, with the processing circuitry, the seizure detection algorithm.
1 Assignment
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Accused Products
Abstract
A medical system implements a seizure detection algorithm to detect a seizure based on a first patient parameter. The medical system monitors a second patient parameter to adjust the seizure detection algorithm. In some examples, the medical system determines whether a seizure for which therapy delivery is desirable occurred based on a second patient parameter. If a target seizure occurred, and the seizure detection algorithm did not detect the target seizure, the medical system adjusts the seizure detection algorithm to detect the target seizure. For example, the medical system may determine a first patient parameter characteristic indicative of the target seizure detected based on the second patient parameter and store the first patient parameter characteristic as part of the seizure detection algorithm. In some examples, the first patient parameter is an electrical brain signal and the second patient parameter is patient activity (e.g., patient motion or posture).
36 Citations
35 Claims
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1. A method comprising:
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receiving, with processing circuitry, a first signal indicative of a physiological parameter of a patient, wherein the physiological parameter comprises a bioelectrical brain signal; receiving, with the processing circuitry, a second signal indicative of a patient parameter of the patient, wherein the patient parameter comprises at least one of patient motion, patient posture, intracranial pressure, respiration rate, heart rate, or muscle activity; and adjusting, with the processing circuitry, a seizure detection algorithm of a medical device based on the first and second signals, wherein adjusting the seizure detection algorithm comprises; identifying, with the processing circuitry, a target seizure based on the second signal; determining, with the processing circuitry, that the medical device, while implementing the seizure detection algorithm, did not identify the target seizure based on the first signal; in response to determining that the medical device did not identify the target seizure based on the first signal, determining that a portion of the first signal associated with the target seizure is not indicative of a baseline non-seizure state of the patient; and in response to determining that the portion of the first signal associated with the target seizure is not indicative of the baseline non-seizure state of the patient, adjusting, with the processing circuitry, the seizure detection algorithm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system comprising:
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a first sensor configured to generate a first signal indicative of a physiological parameter of a patient, wherein the physiological parameter comprises a bioelectrical brain signal; a second sensor configured to generate a second signal indicative of a patient parameter of the patient, wherein the patient parameter comprises at least one of patient motion, patient posture, intracranial pressure, respiration rate, heart rate, or muscle activity; and processing circuitry configured to receive the first and second signals and adjust a seizure detection algorithm of a medical device based on the first and second signals, wherein the processing circuitry is configured to adjust the seizure detection algorithm by at least; identifying a target seizure based on the second signal, determining that the medical device, while implementing the seizure detection algorithm, did not identify the target seizure based on the first signal, in response to determining that the medical device did not identify the target seizure based on the first signal, determining that a portion of the first signal associated with the target seizure is not indicative of a baseline non-seizure state of the patient, and in response to determining that the portion of the first signal associated with the target seizure is not indicative of the baseline non-seizure state of the patient, adjusting the seizure detection algorithm. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A system comprising:
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means for generating a first signal indicative of a physiological parameter of a patient, wherein the physiological parameter comprises a bioelectrical brain signal; means for generating a second signal indicative of a patient parameter of the patient, wherein the patient parameter comprises at least one of intracranial pressure, patient motion, patient posture, respiration rate, heart rate, or muscle activity of the patient; and means for adjusting a seizure detection algorithm of a medical device based on the first and second signals, wherein the means for adjusting the seizure detection algorithm adjusts the seizure detection algorithm by at least; identifying a target seizure based on the second signal; determining that the medical device, while implementing the seizure detection algorithm, did not identify the target seizure based on the first signal; in response to determining the medical device did not identify the target seizure based on the first signal, determining that a portion of the first signal associated with the target seizure is not indicative of a baseline non-seizure state of the patient; and in response to determining that the portion of the first signal associated with the target seizure is not indicative of the baseline non-seizure state of the patient, adjusting the seizure detection algorithm. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35)
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Specification