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Myers MH, Padmanabha A, Hossain G, et al. Seizure Prediction and Detection via Phase and Amplitude Lock Values. Front Hum Neurosci. 2016;10:80doi: 10.3389/fnhum.2016.00080.
Myers, M. H., Padmanabha, A., Hossain, G., de Jongh Curry, A. L., & Blaha, C. D. (2016). Seizure Prediction and Detection via Phase and Amplitude Lock Values. Frontiers in human neuroscience, 1080. https://doi.org/10.3389/fnhum.2016.00080
Myers, Mark H, et al. "Seizure Prediction and Detection via Phase and Amplitude Lock Values." Frontiers in human neuroscience vol. 10 (2016): 80. doi: https://doi.org/10.3389/fnhum.2016.00080
Myers MH, Padmanabha A, Hossain G, de Jongh Curry AL, Blaha CD. Seizure Prediction and Detection via Phase and Amplitude Lock Values. Front Hum Neurosci. 2016 Mar 08;10:80. doi: 10.3389/fnhum.2016.00080. eCollection 2016. PMID: 27014017; PMCID: PMC4781861.
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Front Hum Neurosci. 2016 Mar 08;10:80. doi: 10.3389/fnhum.2016.00080. eCollection 2016.

Seizure Prediction and Detection via Phase and Amplitude Lock Values.

Frontiers in human neuroscience

Mark H Myers, Akshay Padmanabha, Gahangir Hossain, Amy L de Jongh Curry, Charles D Blaha

Affiliations

  1. Department of Anatomy and Neurobiology, University of Tennessee Health Science Center Memphis, TN, USA.
  2. Department of Electrical and Computer Science, Massachusetts Institute of Technology Boston, MA, USA.
  3. Department of Electrical Engineering and Computer Science, Texas A&M University Kingsville, TX, USA.
  4. Department of Biomedical Engineering, University of Memphis Memphis, TN, USA.
  5. Department of Psychology, University of Memphis Memphis, TN, USA.

PMID: 27014017 PMCID: PMC4781861 DOI: 10.3389/fnhum.2016.00080

Abstract

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.

Keywords: Hilbert transform; patient-based; phase-amplitude lock value; seizure detection; seizure prediction

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