Name
Title | ||
|---|---|---|
Design and Evaluation of a novel MAC protocol for multi implantable UHF- RFID transmitters in Brain Computer Interface Applications |
Abstract | ||
|---|---|---|
The area of brain-computer interface (BCI) technologies has been receiving a lot of research attention for the last decade due to their potential to allow people with neurological diseases, injuries or limb losses to move or communicate. With the development of microelectromechanical (MEMS) technology, the process of collecting the neural recording from the action potentials is no more a strenuous task. However, the transmission of the collected signals to the corresponding location within the body through a wireless link is still facing challenges, which prevents to develop a fully implantable wireless BCI system. This paper investigates the feasibility of having multiple implanted UHF-RFID transmitters inside the human motor cortex that would communicate the recorded information about the activity of the individual neurons to outside receivers. Specifically, we focus on the wireless communication channel design and propose a novel MAC algorithm that can enhance the performance. We have compared the performance and the efficiency of the proposed scheme has been compared with the widely used Q algorithm for anti-collision in the RFID tags. Results show a detailed analysis of the delay, the number of collisions and the number of responses obtained. These investigations are essential for building a reliable, energy-efficient and a low-power BCI system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/WTS.2019.8715532 | 2019 Wireless Telecommunications Symposium (WTS) |
Keywords | Field | DocType |
BCI,MAC,UHF-RFID,NS2 | Wireless,Microelectromechanical systems,Computer science,Brain–computer interface,Communication channel,Real-time computing,Computer hardware,Ultra high frequency | Conference |
ISSN | ISBN | Citations |
1934-5070 | 978-1-5386-8381-1 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harshini Harikrishnan | 1 | 0 | 0.68 |
| Aarjish Sarkar | 2 | 0 | 0.34 |
| Christopher Paolini | 3 | 0 | 0.34 |
| Albena Mihovska | 4 | 125 | 26.27 |