A novel hybrid auditory BCI paradigm combining ASSR and P300

Cited 41 time in webofscience Cited 0 time in scopus
  • Hit : 506
  • Download : 0
Background: Brain-computer interface (BCI) is a technology that provides an alternative way of communication by translating brain activities into digital commands. Due to the incapability of using the vision-dependent BCI for patients who have visual impairment, auditory stimuli have been used to substitute the conventional visual stimuli. New method: This paper introduces a hybrid auditory BCI that utilizes and combines auditory steady state response (ASSR) and spatial-auditory P300 BCI to improve the performance for the auditory BCI system. The system works by simultaneously presenting auditory stimuli with different pitches and amplitude modulation (AM) frequencies to the user with beep sounds occurring randomly between all sound sources. Attention to different auditory stimuli yields different ASSR and beep sounds trigger the P300 response when they occur in the target channel, thus the system can utilize both features for classification. Results: The proposed ASSR/P300-hybrid auditory BCI system achieves 85.33% accuracy with 9.11 bits/min information transfer rate (ITR) in binary classification problem. Comparison with existing methods: The proposed system outperformed the P300 BCI system (74.58% accuracy with 4.18 bits/min ITR) and the ASSR BC! system (66.68% accuracy with 2.01 bits/min ITR) in binary-class problem. The system is completely vision-independent. Conclusions: This work demonstrates that combining ASSR and P300 BCI into a hybrid system could result in a better performance and could help in the development of the future auditory BCI. (C) 2017 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2017-03
Language
English
Article Type
Article
Keywords

BRAIN-COMPUTER INTERFACES; SYSTEM

Citation

JOURNAL OF NEUROSCIENCE METHODS, v.279, pp.44 - 51

ISSN
0165-0270
DOI
10.1016/j.jneumeth.2017.01.011
URI
http://hdl.handle.net/10203/223509
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 41 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0