Article
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Preserved in Portico This version is not peer-reviewed
Low Power EEG Data Encoding For Brain Neurostimulation Implants
Version 1
: Received: 1 March 2022 / Approved: 8 March 2022 / Online: 8 March 2022 (02:16:09 CET)
A peer-reviewed article of this Preprint also exists.
Fragkou, A.; Kakarountas, A.; Kokkinos, V. Low Power EEG Data Encoding for Brain Neurostimulation Implants. Information 2022, 13, 194. Fragkou, A.; Kakarountas, A.; Kokkinos, V. Low Power EEG Data Encoding for Brain Neurostimulation Implants. Information 2022, 13, 194.
Abstract
This research refers to the creation of a method of medical technology such as a device that can collect, encode, temporarily store, and transfer electroencephalographic signals from epileptic patients for study and evaluation. For applying the specific apparatus related to neurostimulation technologies such as Deep Brain Stimulation (DBS) and Responsive Neurostimulation (RNS) the approaches followed concern three basic levels. The first level is concerned with initial modelling and creating the template for the following two stages. Further on, the second level is based on developing code for programming integrated circuits and simulation with the appropriate software. The third and final stage is the most substantial, as the transmitter’s construction is attempted at the evaluation level. In particular, more than one software and device are involved in this phase for the most realistic performance of the desired result. However, it is worth noting that the principal goal of this study is to achieve low consumption rates for the device’s complete and smooth operation. As a result, this research aims to evolve this device so that it can send data wirelessly and simultaneously provide energy efficiency.
Keywords
epilepsy; Responsive Neurostimulation; wireless transmission; BLE; Delta encoding; low power
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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