Wearable Detection Systems for Epileptic Seizure: A review

Abstract

The seizure epilepsy is risky because it happens randomly and leads to death in some cases. The standard epileptic seizures monitoring system involves video/EEG (electro-encephalography), which bothers the patient, as EEG electrodes are attached to the patient’s head.
 Seriously, helping or alerting the patient before the seizure is one of the issue that attracts the researchers and designers attention. So that there are spectrums of portable seizure detection systems available in markets which are based on non-EEG signal.
 The aim of this article is to provide a literature survey for the latest articles that cover many issues in the field of designing portable real-time seizure detection that includes the use of multiple body signals, new algorithm methods, and detection devices that are commercially available.
 As a result, the reviewing process shows that there are many research articles that have covered wearable seizure detection systems that based on body signals. The more effective monitoring and detection seizure system is the system that uses multi-body signals, is highly comfortable and has low power consumption.

Design and Implementation of EEG-Based Smart Structure

“…A brain-computer interface, often known as a BCI, that is capable of translating the patterns of brain activity produced by a user into messages or commands that may be used by an interactive program [8]. Electroencephalography (EEG) is the typical method that is used for the measurement of the brain activity that is processed by the BCI systems [16,17] The voltage that is calculated via the Hodgkin-Huxley model was in (𝑚𝑉) [18], and the voltage that is measured by EEG electrodes was in (𝜇𝑉) [19,20]; due to the drop voltage that happened during the dendrites and skull layers. Then the feature extraction is applied to the collected signals.…”