Methods, systems and apparatuses for detecting increased risk of sudden death

1. A system for identification of an increased risk of a severe neurological event, comprising a processing unit configured to:

receive, from one or more electroencephalogram (EEG) sensors adapted to sense neurological activity of a patient, EEG data during at least a postictal phase of each of one or more seizures;

receive at least one of:

respiratory data during at least the postictal phase of each of the one or more seizures from one or more respiration sensors adapted to sense respiratory activity of the patient, or

electrocardiogram (EKG) data during at least the postictal phase of each of the one or more seizures from one or more EKG sensors adapted to sense heart activity of the patient;

detect, from the EEG data, at least one postictal EEG suppression period, wherein a postictal EEG suppression period is detected when the EEG data crosses an EEG threshold for at least a predetermined time period;

detect, from the at least one of the respiratory data or the EKG data, that at least one of a respiration of the patient has fallen below a first threshold or an EKG measurement of the patient has fallen below a second threshold;

identify the increased risk of the severe neurological event based on the detected at least one postictal suppression period and the at least one of the respiration falling below the first threshold or the EKG measurement falling below the second threshold; and

provide, responsive to identifying the increased risk of the severe neurological event, at least one of an alert indicating the increased risk of the severe neurological event of the patient or a stimulation to the patient to assist in preventing the severe neurological event.

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 the processing unit is further configured to 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.

4. The system of claim 3 , wherein the processing unit is further configured to:

detect a trend of generally increasing duration with time of the plurality of postictal EEG suppression periods during the postictal phase of one or more seizures;

wherein the increased risk of the severe neurological event is further identified based on the trend.

5. The system of claim 4 , wherein the trend is a first trend and the processing unit is further configured to:

detect 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;

wherein the increased risk of the severe neurological event is further identified based on the second trend.

6. The system of claim 3 , 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.

7. The system of claim 1 , wherein the processing unit is further configured to trigger an alarm in response to identifying the increased risk of the severe neurological event.

8. The system of claim 1 , wherein the processing unit is further configured to activate a personal medical delivery system in response to identifying the increased risk of the severe neurological event.

9. The system of claim 1 , wherein the processing unit is configured to receive the EEG data and the at least one of the respiratory data or the EKG data remotely.

10. The system of claim 1 , wherein the processing unit is configured to receive the at least one of the respiratory data or the EKG data and detect that the at least one of the respiratory data of the patient has fallen below the first threshold or the EKG measurement of the patient has fallen below the second threshold in response to detecting the at least one postictal EEG suppression period.

11. A method for identifying an increased risk of a severe neurological event, comprising:

receiving, from one or more EEG sensors adapted to sense neurological activity of a patient, EEG data during at least a postictal phase of each of one or more seizures;

receiving at least one of:

respiratory data during at least the postictal phase of each of the one or more seizures from one or more respiration sensors adapted to sense respiratory activity of the patient; or

EKG data during at least the postictal phase of each of the one or more seizures from one or more EKG sensors adapted to sense heart activity of the patient;

detecting, from the EEG data, at least one postictal EEG suppression period, wherein a postictal EEG suppression period is detected when the EEG data crosses an EEG threshold for at least a predetermined time period;

detecting, from the at least one of the respiratory data or the EKG data, that at least one of a respiration of the patient has fallen below a first threshold or an EKG measurement of the patient has fallen below a second threshold;

identifying the increased risk of the severe neurological event based on the detected at least one postictal suppression period and the at least one of the respiration falling below the first threshold or the EKG measurement falling below the second threshold; and

providing, responsive to identifying the increased risk of the severe neurological event, at least one of an alert indicating the increased risk of the severe neurological event of the patient or a stimulation to the patient to assist in preventing the severe neurological event.

12. The method of claim 11 , wherein the severe neurological event is sudden unexplained death in epilepsy (SUDEP).

13. The method of claim 11 , further comprising detecting 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.

14. The method of claim 13 , further comprising detecting a trend of generally increasing duration with time of the plurality of postictal EEG suppression periods during the postictal phase of one or more seizures;

wherein the increased risk of the severe neurological event is further identified based on the trend.

15. The method of claim 13 , 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.

16. The method of claim 11 , further comprising triggering an alarm in response to identifying the increased risk of the severe neurological event.

17. The method of claim 11 , further comprising activating a personal medical delivery system in response to identifying the increased risk of the severe neurological event.

18. The method of claim 11 , wherein receiving the EEG data comprises receiving the EEG data remotely, and wherein receiving the at least one of the respiratory data or the EKG data comprises receiving the at least one of the respiratory data or the EKG data remotely.

19. The method of claim 11 , wherein receiving the at least one of the respiratory data or the EKG data comprises receiving the at least one of the respiratory data or the EKG data in response to detecting the at least one postictal EEG suppression period; and

wherein detecting that the at least one of the respiratory data of the patient has fallen below the first threshold or the EKG measurement of the patient has fallen below the second threshold comprises detecting that the at least one of the respiration of the patient has fallen below the first threshold or the EKG measurement of the patient has fallen below the second threshold in response to detecting the at least one postictal EEG suppression period.

20. 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;

at least one of:

a respiration monitoring unit configured to receive respiration data generated by one or more respiration sensors adapted to sense respiratory activity of the patient during at least the postictal phase of each of the one or more seizures, or

an electrocardiogram (EKG) monitoring unit configured to receive EKG data generated by one or more EKG sensors adapted to sense EKG activity of the patient during at least the postictal phase of each of the one or more seizures; and

a processing unit configured to:

receive the EEG data from the EEG monitoring unit;

receive the at least one of the respiratory data from the respiratory monitoring unit or the EKG data from the EKG monitoring unit;

detect, from the EEG data, at least one postictal EEG suppression period, wherein a postictal EEG suppression period is detected when the EEG data crosses an EEG threshold for at least a predetermined time period;

detect, from the at least one of the respiratory data or the EKG data, that at least one of a respiration of the patient has fallen below a first threshold or an EKG measurement of the patient has fallen below a second threshold;

identify the increased risk of the severe neurological event based on the detected at least one postictal suppression period and the at least one of the respiration falling below the first threshold or the EKG measurement falling below the second threshold; and

provide, responsive to identifying the increased risk of the severe neurological event, at least one of an alert indicating the increased risk of the severe neurological event of the patient or a stimulation to the patient to assist in preventing the severe neurological event.