北京生物医学工程

基于手机平台的便携式听觉脑-机接口

Auditory brain-computer interface based on mobile phone

作者：高海洋张丹胥红来洪波

单位：                      清华大学医学院生物医学工程系(北京100084)        

关键词：脑-机接口; 听觉事件相关电位; 智能手机; 头相关传递函数

分类号：

出版年·卷·期（页码）：2013·32·1（1-5）

摘要：

目的便携性是脑-机接口系统实用化的关键技术之一，对脑-机接口系统从实验室演示走向实际应用具有重要意义。方法本文设计并实现了一个基于智能手机和无线脑电放大器的便携式在线听觉脑-机接口系统。用户通过选择性注意以手机耳机呈现的1～5中文数字语音实现目标选择。为提高脑电响应的可分性，采用头相关传递函数技术使不同中文数字语音呈现在不同空间方向，并要求用户在听到被注意的目标数字语音后区分该语音的性别属性。使用事件相关电位面积法对来自Cz导联的单通道脑电信号进行分类。结果在本文给出的听觉脑电拨号在线应用中，5位受试者的平均在线五分类正确率为(76±4)%。结论本系统在大幅提高听觉脑-机接口系统便携性的同时保持了较高性能，对面向残疾人的临床使用和面向健康人的人机交互等具有广阔的应用前景。

Objective Portability is one of the key technologies for brain-computer interfaces (BCI) to be transformed from laboratory demonstration to practical devices. Methods In this study, we designed and implemented an auditory BCI based on a wireless electroencephalography (EEG) amplifier and a smart phone. The users operated the system by selectively attending to one of five spoken Chinese digits. To increase the discriminability of the brain responses, different spoken digits were presented from different spatial directions by employing the head-related transfer functions (HRTF) technology and the users were asked to distinguish the gender of the digit upon detection. BCI classification was performed for single-channel EEG signals recorded from electrode Cz by calculating the area underneath the event-related potential waveform. Results For the 5 subjects participating in the online BCI experiment with a phone dialing application, the average online classification accuracy of (76±4)% was achieved. Conclusions This portable and high-performance system can be widely used for disabled patients and as a new computer interface for healthy people in the future.

参考文献：

［1］Wolpaw JR, Birbaumer N, Mcfarlanda DJ, et al. Brain-computer interfaces for communication and control ［J］. Clinical Neurophysiology, 2002, 113: 767-791.
［2］Lin Chinteng, Ko Liwei, Chang Menghsiu, et al. Review of wireless and wearable electroencephalogram systems and brain-computer interfaces-a mini-review ［J］. Gerontology, 2010, 56:112-119.
［3］Wang Yute, Wang Yijun, Jung Tzyyping. A cell-phone-based brain-computer interface for communication in daily life ［J］. Journal of Neural Engineering, 2011, 8:025018.
［4］Hideaki Hayashi, Shuichi Kato. Total manifestations of amyotrophic lateral sclerosis: ALS in the totally locked-in state ［J］. Journal of Neurological Sciences, 1989, 93: 19-35.
［5］Vieregge P, Wauschkuhn B, Heberlein I, et al. Selective attention is impaired in amyotrophic lateral sclerosis-a study of event-related EEG potentials ［J］. Cognitive Brain Research, 1999, 8:27-35.
［6］Wijesekera LC, Leigh PN. Amyotrophic lateral sclerosis ［J］. Orphanet Journal of Rare Diseases, 2009, 4(3): 1750-1172.
［7］Guo J, Gao SK, Hong B. An auditory brain-computer interface using active mental response ［J］. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2010, 18(3): 230-235.
［8］Haiyang Gao, Minhui Ouyang, Dan Zhang, et al. An auditory brain-computer interface using virtual sound field［C］. The 33rd Annual International Conference of IEEE, 2011, Engineering in Medicine and Biology Society: 4568-4571.
［9］Wightman FL, Kistler DJ. Headphone simulation of free-field listening. I: Stimulus synthesis ［J］. J Acoust Soc Am, 1989, 85 (2): 858-867.
［10］Stormer SV, Green JJ, McDonald JJ. Tracking the voluntary control of auditory spatial attention with event-related brain potentials ［J］. Psychophysiology, 2009, 46(2): 357-366.
［11］Polich J. Updating P300: An integrative theory of P3a and P3b ［J］. Clinical Neurophysiology, 2007, 118:2128-2148.
［12］Klobassa DS, Vaughan TM, Brunner P, et al. Toward a high-throughput auditory P300-based brain-computer interface ［J］. Clinical Neurophysiology, 2009, 120: 1252-1261.
［13］Martijn Schreuder, Thomas Rost, Michael Tangermann. Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI ［J］. Frontiers in Neuroscience, 2011, 5: 112.
［14］Johannes Hhne, Martijn Schreuder, Benjamin Blankertz, et al. A novel 9-class auditory ERP paradigm driving a predictive text entry system ［J］. Frontiers in Neuroscience, 2011, 5: 99.

服务与反馈：

【文章下载】【加入收藏】

提示：您还未登录，请登录！点此登录