System and method for automatically adjusting detection thresholds in a feedback-controlled neurological event detector
First Claim
1. A method for approximating a target detection rate for a neurological event with a neurological event detector intended for use with a human patient, comprising:
- identifying a target detection rate for the neurological event;
monitoring electrographic signals incident on the neurological event detector;
comparing, with a processor, each electrographic signal to a threshold value for a parameter the variation of which has a predictable effect on a detection rate of the neurological event;
measuring a rate at which the electrographic signals exceed the threshold value to determine a measured detection rate;
comparing the measured detection rate to the target detection rate; and
automatically adjusting the threshold value to minimize a difference between the measured detection rate and the target detection rate based on the parameter and the predictable effect that the variation of the parameter has on the rate of detection of the neurological event.
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Accused Products
Abstract
Methods and systems for detecting neurological events and approximating a target detection rate are disclosed. A target detection rate may be identified for the neurological event. Electrographic signals incident on a neurological event detector may be monitored. Each signal may be compared to a threshold value for a parameter. As the threshold value varies, it has a predictable effect on a detection rate of the neurological event. A rate at which the electrographic signals exceed the threshold value may be measured and compared to the target detection rate. The threshold value may be adjusted to minimize the difference between the measured detection rate and the target detection rate.
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Citations
24 Claims
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1. A method for approximating a target detection rate for a neurological event with a neurological event detector intended for use with a human patient, comprising:
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identifying a target detection rate for the neurological event; monitoring electrographic signals incident on the neurological event detector; comparing, with a processor, each electrographic signal to a threshold value for a parameter the variation of which has a predictable effect on a detection rate of the neurological event; measuring a rate at which the electrographic signals exceed the threshold value to determine a measured detection rate; comparing the measured detection rate to the target detection rate; and automatically adjusting the threshold value to minimize a difference between the measured detection rate and the target detection rate based on the parameter and the predictable effect that the variation of the parameter has on the rate of detection of the neurological event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. In a neurological event detector intended for use with a human patient, a method for minimizing the difference between a target detection rate and a measured detection rate for a neurological event, comprising:
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identifying a target detection rate for the neurological event; monitoring electrographic signals sensed from the human patient by the neurological event detector; comparing, with a processor, each electrographic signal to a threshold value for a parameter the variation of which has a known relationship to a sensitivity of the neurological event detector to register a detection of the neurological event; measuring a rate at which the electrographic signals exceed the threshold value to determine a measured detection rate; comparing the measured detection rate to the target detection rate; and automatically adjusting the threshold value to minimize a difference between the measured detection rate and the target detection rate based on the parameter and the known relationship that the variation of the parameter has on the sensitivity of the neurological event detector to register a detection of the neurological event. - View Dependent Claims (15, 16)
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17. A neurological event detector intended for use with a human patient to detect a neurological event, comprising:
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at least one sensor configured to receive electrographic signals from the human patient; a detector configured to analyze the electrographic signals to identify an occurrence of the neurological event whenever a threshold value for a parameter is exceeded, wherein variation of the parameter has a predictable effect on a detection rate of the neurological event, wherein an output of the detector is a measured detection rate; a memory configured to store a target detection rate and from which the target detection rate is accessible; a comparator configured to compare the measured detection rate to the target detection rate; and a parameter adjuster configured to automatically adjust the threshold value to minimize a difference between the measured detection rate and the target detection rate based on the parameter and the predictable effect that the variation of the parameter has on the rate of detection of the neurological event. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification