EEG based amplitude-modulated auditory steady-state response and auditory selective attention analysis

被引:0
作者
Zheng D. [1 ]
Jia H. [1 ]
Jiang F. [2 ]
Zhu M. [1 ]
Na R. [1 ]
Zhang S. [1 ]
机构
[1] School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing
[2] The High School Affiliated to Renmin University of China, Beijing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 06期
基金
中国国家自然科学基金;
关键词
Auditory Brain-Computer Interface (BCI); Auditory passband; Auditory selective attention; Auditory steady-state response; Spatial coherence;
D O I
10.13700/j.bh.1001-5965.2019.0381
中图分类号
学科分类号
摘要
Patients with atresia cannot control eye movement independently, and cannot use visual Brain-Computer Interface (BCI) to realize consciousness communication. The technology of auditory BCI is not restricted by vision. It is of great significance to realize the consciousness communication of such patients. Firstly, the response characteristics of different subjects to auditory evoked stimuli with amplitude modulation frequency change were studied to obtain the amplitude-frequency characteristics of auditory passband. Based on the auditory passband frequency characteristics of subjects, a new auditory selective attention paradigm was designed. The stimulus frequency with stronger response amplitude was selected as the stimulus frequency of subjects. An improved spatial coherence Electroencephalogram (EEG) signal resolution method was proposed, which improves algorithm robustness and achieves higher classification accuracy. The two-class classification was realized through attention selection. In this paper, the frequency characteristics of the auditory passband of different subjects were accessed, and the auditory amplitude-frequency characteristic curves of the human brain in the frequency range of 35-94 Hz are obtained. It was found that the response amplitude is the strongest in the frequency range of 35-44 Hz. By using the improved spatial coherence algorithm, the proposed experimental paradigm based on the passband characteristics and the fixed frequencies experimental paradigm for three subjects were compared and tested. The results show that the proposed experimental paradigm and the improved spatial coherence algorithm achieve higher accuracy. © 2020, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:1045 / 1052
页数:7
相关论文
共 18 条
  • [1] BLANKERTZ B, MULLER K R, KRUSIENSKI D J, Et al., The BCI competition Ⅲ, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 14, 2, pp. 153-159, (2006)
  • [2] XU X H, ZHAN Q M, LI S W., Locked-in syndrome, Journal of International Neurology and Neurosurgery, 5, pp. 252-254, (1981)
  • [3] GUO M M, XU G Z, WANG L, Et al., Progress in experimental paradigms of auditory brain-computer interface technology, Chinese Journal of Biomedical Engineering, 32, 5, pp. 613-619, (2013)
  • [4] SOMEN R J M, RICHARDJENNINGS J., Developmental change in auditory selective attention as reflected by phasic heart rate changes, Psychophysiology, 37, 5, pp. 626-633, (2010)
  • [5] WOLPAW J R, BIRBAUMER N, MCFARLANSCHELLER G, Et al., Brain-computer interfaces for communication and control, Clinical Neurophysiology, 113, 6, pp. 767-791, (2002)
  • [6] LOPEZ M A, POMARES H, PELAYO F, Et al., Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces, Neurocomputing, 72, 16-18, pp. 3617-3623, (2009)
  • [7] YING J., Auditory steady state response research for auditory nervous system detection, pp. 6-8, (2013)
  • [8] JIANG W B, XU W Q., Multifrequency steady state auditory evoked response and its application, Anhui Medicine and Pharmaceutical Journal, 14, 5, pp. 1-2, (2010)
  • [9] PICTON T W, JOHN M S, DIMITRIJEVIC A, Et al., Human auditory steady-state responses: Respuestas auditivas de estado estable en humanos, International Audiology, 42, 4, pp. 177-219, (2003)
  • [10] HIGASHI H, RUTKOWSI T M, WASHIZAWA Y, Et al., EEG auditory steady state responses classification for the novel BCI, International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4576-4579, (2011)