Methods, systems and apparatuses for detecting increased risk of sudden death
View Patent ↗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.
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.
2. The system of claim 1 , wherein the severe neurological event is sudden unexplained death in epilepsy (SUDEP).
3. The system of claim 1 , wherein at least a first EEG suppression period of the plurality of postictal EEG suppression periods occurs after a first seizure and at least a second EEG suppression period of the plurality of postictal EEG suppression periods occurs after a second seizure, the second seizure occurring after the first seizure.
4. The system of claim 1 , wherein a progressive postictal EEG suppression is characterized by the first trend, and wherein the progressive postictal EEG suppression is further characterized by a second trend of generally decreasing duration with time of the plurality of postictal EEG non-suppression periods during the postictal phase of the one or more seizures.
5. The system of claim 1 , further comprising:
a respiratory monitoring unit configured to collect respiratory data from the patient, wherein the processing unit is configured to receive the respiratory data from the respiratory monitoring unit and to determine whether a breathing rate determined from the respiratory data crosses a respiration threshold.
6. The system of claim 5 , wherein the processing unit is configured to determine whether the breathing rate crosses the respiration threshold in response to a determination that the EEG data crosses the EEG threshold.
7. The system of claim 5 , further comprising:
an electrocardiogram (EKG) monitoring unit configured to collect EKG data from the patient, wherein the processing unit is configured to receive the EKG data from the EKG monitoring unit and to determine whether the EKG data crosses an EKG threshold.
8. The system of claim 7 , wherein the processing unit is configured to determine whether the EKG data crosses the EKG threshold in response to a determination that the breathing rate crosses the respiration threshold.
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:
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.
10. The method of claim 9 , wherein the predetermined time period is a first predetermined time period, the method further comprising:
activating a warning device when the EEG data indicates postictal EEG suppression for a second predetermined period of time.
11. The method of claim 9 , further comprising:
collecting respiratory data from the patient;
determining whether a breathing rate determined from the respiratory data crosses a first threshold;
collecting electrocardiogram (EKG) data patient; and
determining whether the EKG data crosses a second threshold.
12. The method of claim 11 , wherein the predetermined time period is a first predetermined time period, the method further comprising:
activating a warning device when the EEG data indicates postictal EEG suppression for a second predetermined period of time, the breathing rate crosses the first threshold, and the EKG data crosses the second threshold.
13. The method of claim 9 , wherein the postictal EEG suppression is progressive postictal EEG suppression comprised of multiple suppression periods interleaved with non-suppression periods.