dc.creator | Fragkou A., Kakarountas A., Kokkinos V. | en |
dc.date.accessioned | 2023-01-31T07:38:52Z | |
dc.date.available | 2023-01-31T07:38:52Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.3390/info13040194 | |
dc.identifier.issn | 20782489 | |
dc.identifier.uri | http://hdl.handle.net/11615/71780 | |
dc.description.abstract | Neurostimulation devices applied for the treatment of epilepsy that collect, encode, temporarily store, and transfer electroencephalographic (EEG) signals recorded intracranially from epileptic patients, suffer from short battery life spans. The principal goal of this study is to implement strategies for low power consumption rates during the device’s smooth and uninterrupted operation as well as during data transmission. Our approach is organised in three basic levels. The first level regards the initial modelling and creation of the template for the following two stages. The second level regards the development of code for programming integrated circuits and simulation. The third and final stage regards the transmitter’s implementation at the evaluation level. In particular, more than one software and device are involved in this phase, in order to achieve realistic performance. Our research aims to evolve such technologies so that they can transmit wireless data with simultaneous energy efficiency. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.language.iso | en | en |
dc.source | Information (Switzerland) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129108968&doi=10.3390%2finfo13040194&partnerID=40&md5=f5c1803ae37ddd13d04b550b78c23e11 | |
dc.subject | Electroencephalography | en |
dc.subject | Encoding (symbols) | en |
dc.subject | Energy efficiency | en |
dc.subject | Neurology | en |
dc.subject | Patient treatment | en |
dc.subject | Bluetooth low energy | en |
dc.subject | Data encoding | en |
dc.subject | Deep brain stimulation | en |
dc.subject | Delta encoding | en |
dc.subject | Low Power | en |
dc.subject | Lower energies | en |
dc.subject | Neurostimulation | en |
dc.subject | Neurostimulation implants | en |
dc.subject | Responsive neurostimulation | en |
dc.subject | Wireless transmissions | en |
dc.subject | Signal encoding | en |
dc.subject | MDPI | en |
dc.title | Low Power EEG Data Encoding for Brain Neurostimulation Implants | en |
dc.type | journalArticle | en |