Method and Apparatus for Detection of Nervous System Disorders
First Claim
1. A system for detecting a neurological event following delivery of therapy, the system comprising:
- an electrode for sensing EEG signals from a brain of a patient; and
an implantable medical device (IMD) coupled to the electrode and adapted to receive EEG signals, the IMD comprising a housing, a power source, and a processor, the processor adapted todetect a first neurological event using a first detection algorithm;
initiate therapy delivery in response to detecting the first neurological event; and
detect a post-therapy neurological event after therapy delivery using a second detection algorithm different than the first detection algorithm, the second algorithm comprisinginitializing a post-therapy detection counter, C, to an initial value, C0,acquiring a stream of EEG signal data values following the therapy delivery,comparing the signal data values to a level cutoff,decrementing C by a decrement amount if a given data value is below the level cutoff,incrementing C by an increment amount if a given data value is equal to or exceeds the level cutoff,comparing C to a post-therapy detection threshold, anddetecting the post-therapy neurological event if C equals or exceeds the post-therapy detection threshold.
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Abstract
Systems and methods for detecting and/or treating nervous system disorders, such as seizures. Certain embodiments of the invention relate generally to implantable medical devices (IMDs) adapted to detect and treat nervous system disorders in patients with an IMD. Certain embodiments of the invention include detection of seizures based upon comparisons of long-term and short-term representations of physiological signals. Other embodiments include prediction of seizure activity based upon analysis of physiological signal levels. An embodiment of the invention monitors the quality of physiological signals, and may be able to compensate for signals of low signal quality. A further embodiment of the invention includes detection of seizure activity following the delivery of therapy.
82 Citations
15 Claims
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1. A system for detecting a neurological event following delivery of therapy, the system comprising:
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an electrode for sensing EEG signals from a brain of a patient; and an implantable medical device (IMD) coupled to the electrode and adapted to receive EEG signals, the IMD comprising a housing, a power source, and a processor, the processor adapted to detect a first neurological event using a first detection algorithm; initiate therapy delivery in response to detecting the first neurological event; and detect a post-therapy neurological event after therapy delivery using a second detection algorithm different than the first detection algorithm, the second algorithm comprising initializing a post-therapy detection counter, C, to an initial value, C0, acquiring a stream of EEG signal data values following the therapy delivery, comparing the signal data values to a level cutoff, decrementing C by a decrement amount if a given data value is below the level cutoff, incrementing C by an increment amount if a given data value is equal to or exceeds the level cutoff, comparing C to a post-therapy detection threshold, and detecting the post-therapy neurological event if C equals or exceeds the post-therapy detection threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for detecting a neurological event following delivery of stimulation therapy, the system comprising:
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an electrode for sensing EEG signals from a brain of a patient; and an implantable medical device (IMD) coupled to the electrode and adapted to receive EEG signals, the IMD comprising a housing, a power source, and a processor, the processor adapted to detect a first neurological event using a first detection algorithm; initiate stimulation therapy delivery in response to detecting the first neurological event; impose a time delay after therapy delivery before (1) detecting a subsequent neurological event using the first detection algorithm, and/or (2) initiating subsequent stimulation therapy delivery based on the first detection algorithm; and detect a post-stimulation neurological event during the time delay using a second detection algorithm different than the first detection algorithm, the second detection algorithm comprising initializing a post-stimulation detection counter, C, to an initial value, C0, acquiring a stream of EEG signal data values following the delivery of the stimulation therapy, comparing the signal data values to a level cutoff, decrementing C by a decrement amount if a given data value is below the level cutoff, incrementing C by an increment amount if a given data value is equal to or exceeds the level cutoff, comparing C to a post-stimulation detection threshold, and detecting the post-stimulation neurological event during the time delay if C equals or exceeds the post-stimulation detection threshold. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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Specification