Huanqing Zhang, Jun Xie, Chenguang Zhao, Zhiwei Jin, Fangzhao Du, Yujie Chen, Guanghua Xu, Qing Tao, Min Li
{"title":"一种基于低频周期性听觉运动刺激范式的空间听觉脑机接口。","authors":"Huanqing Zhang, Jun Xie, Chenguang Zhao, Zhiwei Jin, Fangzhao Du, Yujie Chen, Guanghua Xu, Qing Tao, Min Li","doi":"10.1109/TBME.2025.3544646","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to improve the performance of auditory brain-computer interfaces (BCIs) by developing two-target and three-target paradigms based on steady-state motion auditory evoked potential (SSMAEP) using low-frequency stimuli in a spatial audio environment. SSMAEP is elicited by auditory stimuli exhibited by periodic and discrete changes in auditory spatial position.</p><p><strong>Methods: </strong>We designed a periodic auditory motion stimulation paradigm to evoke SSMAEP. Two-target and three-target SSMAEP-BCIs were developed. For the two-target SSMAEP-BCI, two periodic auditory motion stimuli with different motion frequencies were located on the left (2 Hz) and right (1.6 Hz) sides of the head, respectively. For the three-target SSMAEP-BCI, three periodic auditory motion stimuli with different motion frequencies were located on the front (2 Hz), left (2.4 Hz) and right (1.6 Hz) sides of the head, respectively.</p><p><strong>Results: </strong>SSMAEP amplitudes were modulated by auditory selective attention. In the two-target BCI, the offline experiments showed a peak average information transfer rate (ITR) of 7.70 bits/min, while the online experiments had a mean accuracy of 82.83% and an ITR of 4.41 bits/min. The three-target BCI achieved a peak ITR of 12.04 bits/min offline, with an online mean accuracy of 80.45% and an ITR of 7.05 bits/min.</p><p><strong>Conclusion: </strong>The study confirms the feasibility and enhanced performance of spatial low-frequency SSMAEP-BCIs.</p><p><strong>Significance: </strong>This novel approach to SSMAEP-BCI offers a promising direction for enhancing auditory BCI performance, potentially improving user experience and application in complex environments.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Spatial Auditory Brain-Computer Interface based on Low-Frequency Periodic Auditory Motion Stimulation Paradigm.\",\"authors\":\"Huanqing Zhang, Jun Xie, Chenguang Zhao, Zhiwei Jin, Fangzhao Du, Yujie Chen, Guanghua Xu, Qing Tao, Min Li\",\"doi\":\"10.1109/TBME.2025.3544646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to improve the performance of auditory brain-computer interfaces (BCIs) by developing two-target and three-target paradigms based on steady-state motion auditory evoked potential (SSMAEP) using low-frequency stimuli in a spatial audio environment. 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A Novel Spatial Auditory Brain-Computer Interface based on Low-Frequency Periodic Auditory Motion Stimulation Paradigm.
This study aims to improve the performance of auditory brain-computer interfaces (BCIs) by developing two-target and three-target paradigms based on steady-state motion auditory evoked potential (SSMAEP) using low-frequency stimuli in a spatial audio environment. SSMAEP is elicited by auditory stimuli exhibited by periodic and discrete changes in auditory spatial position.
Methods: We designed a periodic auditory motion stimulation paradigm to evoke SSMAEP. Two-target and three-target SSMAEP-BCIs were developed. For the two-target SSMAEP-BCI, two periodic auditory motion stimuli with different motion frequencies were located on the left (2 Hz) and right (1.6 Hz) sides of the head, respectively. For the three-target SSMAEP-BCI, three periodic auditory motion stimuli with different motion frequencies were located on the front (2 Hz), left (2.4 Hz) and right (1.6 Hz) sides of the head, respectively.
Results: SSMAEP amplitudes were modulated by auditory selective attention. In the two-target BCI, the offline experiments showed a peak average information transfer rate (ITR) of 7.70 bits/min, while the online experiments had a mean accuracy of 82.83% and an ITR of 4.41 bits/min. The three-target BCI achieved a peak ITR of 12.04 bits/min offline, with an online mean accuracy of 80.45% and an ITR of 7.05 bits/min.
Conclusion: The study confirms the feasibility and enhanced performance of spatial low-frequency SSMAEP-BCIs.
Significance: This novel approach to SSMAEP-BCI offers a promising direction for enhancing auditory BCI performance, potentially improving user experience and application in complex environments.
期刊介绍：
IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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