Methods, systems and apparatuses for detecting increased risk of sudden death
First Claim
1. A system for identification of an increased risk of a severe neurological event, comprising:
- an electroencephalogram (EEG) monitoring unit configured to receive EEG data generated by one or more EEG sensors adapted to sense neurological activity of a patient during at least a postictal phase of each of one or more seizures; and
a processing unit configured to;
receive the EEG data from the EEG monitoring unit;
detect a plurality of postictal EEG suppression periods interleaved with postictal EEG non-suppression periods during each of at least one postictal phase of the one or more seizures from the EEG data, wherein a postictal EEG suppression period is detected when the EEG data crosses an EEG threshold for at least a predetermined time period;
detect a first trend of generally increasing duration with time of the plurality of postictal EEG suppression periods during the postictal phase of one or more seizures; and
identify the increased risk of the severe neurological event based on the first trend.
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Accused Products
Abstract
Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase of one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.
626 Citations
13 Claims
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1. A system for identification of an increased risk of a severe neurological event, comprising:
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an electroencephalogram (EEG) monitoring unit configured to receive EEG data generated by one or more EEG sensors adapted to sense neurological activity of a patient during at least a postictal phase of each of one or more seizures; and a processing unit configured to; receive the EEG data from the EEG monitoring unit; detect a plurality of postictal EEG suppression periods interleaved with postictal EEG non-suppression periods during each of at least one postictal phase of the one or more seizures from the EEG data, wherein a postictal EEG suppression period is detected when the EEG data crosses an EEG threshold for at least a predetermined time period; detect a first trend of generally increasing duration with time of the plurality of postictal EEG suppression periods during the postictal phase of one or more seizures; and identify the increased risk of the severe neurological event based on the first trend. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for detecting a condition in a patient that poses an increased risk of sudden unexplained death in epilepsy (SUDEP), the method comprising:
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collecting, at a processor of a medical device, electroencephalogram (EEG) data from one or more EEG sensors adapted to sense neurological activity of a patient during at least a postictal phase of each of one or more seizures; determining, via the processor, that the EEG data indicates postictal EEG suppression when the EEG data crosses an EEG threshold for at least a predetermined time period; detecting, via the processor, a plurality of postictal EEG suppression periods interleaved with postictal EEG non-suppression periods during each of at least one postictal phase of the one or more seizures from the EEG data; detecting, via the processor, a first trend of generally increasing duration with time of the plurality of postictal EEG suppression periods during the postictal phase of one or more seizures; and identifying, via the processor, the increased risk of the severe neurological event based on the first trend. - View Dependent Claims (10, 11, 12, 13)
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Specification