BESP: A novel BCI experiment simulation platform to assist BCI-related algorithm validation

In recent decades, many brain-computer interface (BCI) software platforms have emerged. However, there are still some limitations. First, integrating an algorithm on online BCI software platform is difficult and time-consuming. Second, there is no guarantee that an unproven algorithm will work prope...

Full description

Saved in:
Bibliographic Details
Published in:2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) pp. 1 - 6
Main Authors: Chen, Qingzhi, Ke, Jingshuang, Huang, Zhihua
Format: Conference Proceeding
Language:English
Published: IEEE 28.10.2023
Subjects:
Brain-computer interfaces
Measurement
Signal processing algorithms
Software
Software algorithms
Statistical analysis
Visualization
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract In recent decades, many brain-computer interface (BCI) software platforms have emerged. However, there are still some limitations. First, integrating an algorithm on online BCI software platform is difficult and time-consuming. Second, there is no guarantee that an unproven algorithm will work properly. Last, existing platforms do not support automatic recording of result metrics during experiments, and frequent validation of multiple algorithms is inefficient. In this paper, we designed a novel BCI experiment simulation platform (BESP) based on offline analysis to satisfy the needs of algorithm validation. BESP reorganizes the experimental steps and provides some interfaces, which makes algorithm validation simple and efficient. In addition, BESP is able to record the results produced during the experimentation. Then the results of multiple algorithms can be easily analyzed, compared and visualized by the statistical analysis system provided by BESP. With these characteristics, BESP is able to verify the correctness of the algorithm. Finally, we designed a simulated P300 spelling experiment based on BESP, and completed the validation and analysis of Algorithms SPLUCB and TSPLUCB (based on PLUCB and TPLUCB). Furthermore, we used BESP to analyze the differences between the stimulus signals of the 20 subjects. Through the analysis, we found some areas worthy of further study. In summary, BESP is well suited for the process of analysis, optimization and validation among multiple algorithms.
AbstractList In recent decades, many brain-computer interface (BCI) software platforms have emerged. However, there are still some limitations. First, integrating an algorithm on online BCI software platform is difficult and time-consuming. Second, there is no guarantee that an unproven algorithm will work properly. Last, existing platforms do not support automatic recording of result metrics during experiments, and frequent validation of multiple algorithms is inefficient. In this paper, we designed a novel BCI experiment simulation platform (BESP) based on offline analysis to satisfy the needs of algorithm validation. BESP reorganizes the experimental steps and provides some interfaces, which makes algorithm validation simple and efficient. In addition, BESP is able to record the results produced during the experimentation. Then the results of multiple algorithms can be easily analyzed, compared and visualized by the statistical analysis system provided by BESP. With these characteristics, BESP is able to verify the correctness of the algorithm. Finally, we designed a simulated P300 spelling experiment based on BESP, and completed the validation and analysis of Algorithms SPLUCB and TSPLUCB (based on PLUCB and TPLUCB). Furthermore, we used BESP to analyze the differences between the stimulus signals of the 20 subjects. Through the analysis, we found some areas worthy of further study. In summary, BESP is well suited for the process of analysis, optimization and validation among multiple algorithms.
Author Chen, Qingzhi
Huang, Zhihua
Ke, Jingshuang
Author_xml – sequence: 1
  givenname: Qingzhi
  surname: Chen
  fullname: Chen, Qingzhi
  organization: Fuzhou University,College of Computer and Data Science,Fuzhou,China
– sequence: 2
  givenname: Jingshuang
  surname: Ke
  fullname: Ke, Jingshuang
  organization: Fuzhou University,College of Computer and Data Science,Fuzhou,China
– sequence: 3
  givenname: Zhihua
  surname: Huang
  fullname: Huang, Zhihua
  email: hzh@fzu.edu.cn
  organization: Fuzhou University,College of Computer and Data Science,Fuzhou,China
BookMark eNo1T81OwzAYCxIcYOwNOOTAteVL0rQNt7Uqo9IQkwYnDlPSfYFIbVO1YYK3p_ydbFm2ZV-Q0973SMg1g5gxUDdlvdtGxUNVp6A4xBy4iBmITHAFJ2SpMpULCUJAJuU5eSmq3faWrmjvj9jSoqwpfgw4ug77QCfXvbc6ON_TYUbrx44GT_U0uSl8m6MRZx0PVLevfnThraNH3brDT-aSnFndTrj8wwV5vqueyvto87iuy9UmcoypEKWZNVKDNlyxvGkaK6VVyug01TqBfOZpwjKmGm4kYzyx1uSYGIt8_oQIYkGufnsdIu6HebseP_f_n8UXzVhS7g
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/CISP-BMEI60920.2023.10373290
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798350330755
EndPage 6
ExternalDocumentID 10373290
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i119t-67fb5a0ab2918cccf55f99ba66aa408f99641719c2b51124ffb8e4bfe2732ee03
IEDL.DBID RIE
IngestDate Wed Jan 10 09:27:52 EST 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-67fb5a0ab2918cccf55f99ba66aa408f99641719c2b51124ffb8e4bfe2732ee03
PageCount 6
ParticipantIDs ieee_primary_10373290
PublicationCentury 2000
PublicationDate 2023-Oct.-28
PublicationDateYYYYMMDD 2023-10-28
PublicationDate_xml – month: 10
  year: 2023
  text: 2023-Oct.-28
  day: 28
PublicationDecade 2020
PublicationTitle 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
PublicationTitleAbbrev CISP-BMEI
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8488487
Snippet In recent decades, many brain-computer interface (BCI) software platforms have emerged. However, there are still some limitations. First, integrating an...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Brain-computer interfaces
Measurement
Signal processing algorithms
Software
Software algorithms
Statistical analysis
Visualization
Title BESP: A novel BCI experiment simulation platform to assist BCI-related algorithm validation
URI https://ieeexplore.ieee.org/document/10373290
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA46RDypOPE3OeyaLW2TNPHmxoY7OApTGHgYSfqqha0dW7e_36SbDg8ePCWEhMB7Ie_Lj-99CLUkcEtBumOJoIwwa1Miw1gTxViUBpZyLk0tNhGPRnIyUcmOrF5zYQCg_nwGbV-t3_LT0q79VVnHc9qiULkT-mEciy1Z6xi1dnkzO73hOCHdl_5QUBXSthcGb38P-SWeUseOwek_Zz1DzT0LDyc_8eUcHUBxgd67_XHyiJ9wUW5ghru9Id4n6cerfL6T48ILV3pAiqsSO4DsvOk7k5q7AinWs49ymVefc-yWWr4VVmqit0H_tfdMdgIJJA8CVRERZ4Zrqk2oAmmtzTjPlDJaCK0Zla4uWBAHyobG4yqWZUYCMxk4zBIC0OgSNYqygCuEpWZGuGgfgXGIRHGdZiAt15mJwG0J8TVqestMF9scGNNvo9z80X6LTrz9_S4fyjvUqJZruEdHdlPlq-VD7bkvzsSbRQ
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG6MGvWkRoy_7YHroNvarfUmBMIikCVgQuKBtN2bLgFGYPD32w6QePDgqU3Tpklf897XH9_7EKpyYJoAN8eSgFCHap043AulIyj1E1cTxrgqxSbCfp-PRiLektVLLgwAlJ_PoGar5Vt-kuuVvSqrW06b7wlzQj9ilHpkQ9c6QdVt5sx6MxrETqPXigIiPFKz0uC13aBf8ill9Gif_3PeC1TZ8_Bw_BNhLtEBzK7QR6M1iF_wK57la5jgRjPC-zT9eJlNt4JceG5KC0lxkWMDkY09bWenZK9AguXkM19kxdcUm82WbaSVKui93Ro2O85WIsHJXFcUThCmikkilSdcrrVOGUuFUDIIpKSEm3pA3dAV2lMWWdE0VRyoSsGgFg-A-NfocJbP4AZhLqkKTLz3QRlMIphMUuCayVT5YJxCeIsqdmXG800WjPFuUe7-aH9Gp51hrzvuRv23e3RmbWF9vscf0GGxWMEjOtbrIlsunkorfgMQs56M
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+16th+International+Congress+on+Image+and+Signal+Processing%2C+BioMedical+Engineering+and+Informatics+%28CISP-BMEI%29&rft.atitle=BESP%3A+A+novel+BCI+experiment+simulation+platform+to+assist+BCI-related+algorithm+validation&rft.au=Chen%2C+Qingzhi&rft.au=Ke%2C+Jingshuang&rft.au=Huang%2C+Zhihua&rft.date=2023-10-28&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FCISP-BMEI60920.2023.10373290&rft.externalDocID=10373290