A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in different areas such as neurorehabilitation, control of artificial limbs, control of computer environments, communication and detection of diseases. Most of BCIs use scalp-electroencephalography (EEG), which is a non-invasive method to capture the brain activity. Although EEG monitoring devices are available in the market, these devices are generally lab-oriented and expensive. Day-to-day use of BCIs is impractical at this time due to the complex techniques required for data preprocessing and signal analysis. This implies that BCI technologies should be improved to facilitate its widespread adoption in Cloud and Edge datacenters. This paper presents a case study on profiling the accuracy and performance of a brain-computer interface which runs on typical Cloud and Edge servers. In particular, we investigate how the accuracy and execution time of the preprocessing phase, i.e. the brain signal filtering phase, of a brain-computer interface varies when processing static and live streaming data obtained in real time BCI devices. We identify the optimal size of the packets for sampling brain signals which provides the best trade-off between the accuracy and performance. Finally, we discuss the pros and cons of using typical Cloud and Edge servers to perform the BCI filtering phase.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-95
Number of pages6
ISBN (Electronic)9781665443746
DOIs
Publication statusPublished - 06 Dec 2021
Event6th IEEE International Conference on Smart Cloud, SmartCloud 2021 - Newark, Online, United States
Duration: 06 Nov 202108 Nov 2021

Publication series

NameIEEE International Conference on Smart Cloud, SmartCloud: Proceedings

Conference

Conference6th IEEE International Conference on Smart Cloud, SmartCloud 2021
Country/TerritoryUnited States
CityNewark, Online
Period06/11/202108/11/2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • BCI
  • Cloud
  • Edge
  • EEG
  • profiling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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