Seizure Prediction and Detection via Phase and Amplitude Lock Values
A robust seizure prediction methodology would enable a “closed-loop” system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresth...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Frontiers Media S.A.
2016
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| Online Access: | http://hdl.handle.net/1721.1/103040 |
| _version_ | 1811083851224580096 |
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| author | Myers, Mark H. Padmanabha, Akshay Hossain, Gahangir de Jongh Curry, Amy L. Blaha, Charles D. |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Myers, Mark H. Padmanabha, Akshay Hossain, Gahangir de Jongh Curry, Amy L. Blaha, Charles D. |
| author_sort | Myers, Mark H. |
| collection | MIT |
| description | A robust seizure prediction methodology would enable a “closed-loop” system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the system. The seizure prediction and detection algorithm uses Phase/Amplitude Lock Values (PLV/ALV) which calculate the difference of phase and amplitude between electroencephalogram (EEG) electrodes local and remote to the epileptic event. PLV is used as the seizure prediction marker and signifies the emergence of abnormal neuronal activations through local neuron populations. PLV/ALVs are used as seizure detection markers to demarcate the seizure event, or when the local seizure event has propagated throughout the brain turning into a grand-mal event. We verify the performance of this methodology against the “CHB-MIT Scalp EEG Database” which features seizure attributes for testing. Through this testing, we can demonstrate a high degree of sensivity and precision of our methodology between pre-ictal and ictal events. |
| first_indexed | 2024-09-23T12:40:22Z |
| format | Article |
| id | mit-1721.1/103040 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:40:22Z |
| publishDate | 2016 |
| publisher | Frontiers Media S.A. |
| record_format | dspace |
| spelling | mit-1721.1/1030402022-09-28T09:22:12Z Seizure Prediction and Detection via Phase and Amplitude Lock Values Myers, Mark H. Padmanabha, Akshay Hossain, Gahangir de Jongh Curry, Amy L. Blaha, Charles D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Padmanabha, Akshay A robust seizure prediction methodology would enable a “closed-loop” system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the system. The seizure prediction and detection algorithm uses Phase/Amplitude Lock Values (PLV/ALV) which calculate the difference of phase and amplitude between electroencephalogram (EEG) electrodes local and remote to the epileptic event. PLV is used as the seizure prediction marker and signifies the emergence of abnormal neuronal activations through local neuron populations. PLV/ALVs are used as seizure detection markers to demarcate the seizure event, or when the local seizure event has propagated throughout the brain turning into a grand-mal event. We verify the performance of this methodology against the “CHB-MIT Scalp EEG Database” which features seizure attributes for testing. Through this testing, we can demonstrate a high degree of sensivity and precision of our methodology between pre-ictal and ictal events. 2016-06-07T16:24:14Z 2016-06-07T16:24:14Z 2016-03 2015-04 Article http://purl.org/eprint/type/JournalArticle 1662-5161 http://hdl.handle.net/1721.1/103040 Myers, Mark H., Akshay Padmanabha, Gahangir Hossain, Amy L. de Jongh Curry, and Charles D. Blaha. "Seizure Prediction and Detection via Phase and Amplitude Lock Values." Front. Hum. Neurosci., 10:Article 80 (March 2016), p.1-9. en_US http://dx.doi.org/10.3389/fnhum.2016.00080 Frontiers in Human Neuroscience Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Frontiers Media S.A. Frontiers Research Foundation |
| spellingShingle | Myers, Mark H. Padmanabha, Akshay Hossain, Gahangir de Jongh Curry, Amy L. Blaha, Charles D. Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title | Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title_full | Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title_fullStr | Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title_full_unstemmed | Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title_short | Seizure Prediction and Detection via Phase and Amplitude Lock Values |
| title_sort | seizure prediction and detection via phase and amplitude lock values |
| url | http://hdl.handle.net/1721.1/103040 |
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