title: Ambulatory Seizure Monitoring: From Concept to Prototype Device.
abstract: BACKGROUND
  The brain, made up of billions of neurons and synapses, is the marvelous core of human thought, action and memory. However, if neuronal activity manifests into abnormal electrical activity across the brain, neural behavior may exhibit synchronous neural firings known as seizures. If unprovoked seizures occur repeatedly, a patient may be diagnosed with epilepsy.
  
  
  OBJECTIVE
  The scope of this project is to develop an ambulatory seizure monitoring system that can be used away from a hospital, making it possible for the user to stay at home, and primary care personnel to monitor a patient's seizure activity in order to provide deeper analysis of the patient's condition and apply personalized intervention techniques.
  
  
  METHODS
  The ambulatory seizure monitoring device is a research device that has been developed with the objective of acquiring a portable, clean electroencephalography (EEG) signal and transmitting it wirelessly to a handheld device for processing and notification.
  
  
  RESULTS
  This device is comprised of 4 phases: acquisition, transmission, processing and notification. During the acquisition stage, the EEG signal is detected using EEG electrodes; these signals are filtered and amplified before being transmitted in the second stage. The processing stage encompasses the signal processing and seizure prediction. A notification is sent to the patient and designated contacts, given an impending seizure. Each of these phases is comprised of various design components, hardware and software. The experimental findings illustrate that there may be a triggering mechanism through the phase lock value method that enables seizure prediction.
  
  
  CONCLUSIONS
  The device addresses the need for long-term monitoring of the patient's seizure condition in order to provide the clinician a better understanding of the seizure's duration and frequency and ultimately provide the best remedy for the patient.
authors.affiliation: Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, Tenn., USA.
authors.forename: Mark H
authors.initials: MH
authors.lastname: Myers
authors.affiliation: Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: Madeline
authors.initials: M
authors.lastname: Threatt
authors.affiliation: Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: Karsten M
authors.initials: KM
authors.lastname: Solies
authors.affiliation: Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: Brent M
authors.initials: BM
authors.lastname: McFerrin
authors.affiliation: Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: Lindsey B
authors.initials: LB
authors.lastname: Hopf
authors.affiliation: Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: J Douglas
authors.initials: JD
authors.lastname: Birdwell
authors.affiliation: Department of Neurosurgery, University of Tennessee Health Science Center, Memphis, Tenn., USA; Department of Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tenn., USA.
authors.forename: Karl A
authors.initials: KA
authors.lastname: Sillay
keywords: Brain computer interface; Phase lock value; Seizure monitoring