Detecting Silent Vocalizations in a Locked-In Subject.

Detecting Silent Vocalizations in a Locked-In Subject.
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检测锁定对象中的无声发声。

DOI:
10.1155/2013/594624
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发表时间:
2013
期刊:
Neuroscience journal
影响因子:
--
通讯作者:
Kennedy,Philip
Kennedy,Philip
中科院分区:
--
文献类型:
--
作者:
Sarmah,Elina;Kennedy,Philip

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问题已解决。无声发声的解码将通过检测发声起始来增强。这是必要的,以改善解码的神经放电,从而合成近会话语音在锁定的主题植入脑计算机接口设备。在植入记录电极的静音和瘫痪受试者(ER)尝试内部言语期间获得皮层记录,以检测和分析满足功率谱密度(PSD)至少增加0.2%的标准的较低β带峰。为了提供支持数据,三个说话的受试者被用于一个类似的测试范式,使用在言语区记录的EEG信号。明显的较低的β带峰被确定在假设的语音发作的时间。与连续神经信号同时记录的单个单元放电之间的相关性被发现在较低的β带峰值之后比在峰值之前增加。在非瘫痪对照个体中的研究表明,较低的β带峰值与语音发音器官(舌头、下巴和嘴唇)的运动有关,而与高阶语音过程无关。结果表明,无声和公开的语言的发病与较低的β带活动的一个尖锐的峰值,在语音假体的发展的重要一步。这提高了在在线应用中使用这些峰值来辅助解码范例的可能性,该解码范例正在开发中,以从哑巴人类的神经信号记录中解码语音。
Problem Addressed. Decoding of silent vocalization would be enhanced by detecting vocalization onset. This is necessary in order to improve decoding of neural firings and thus synthesize near conversational speech in locked‐in subjects implanted with brain computer interfacing devices.Methodology. Cortical recordings were obtained during attempts at inner speech in a mute and paralyzed subject (ER) implanted with a recording electrode to detect and analyze lower beta band peaks meeting the criterion of a minimum 0.2% increase in the power spectrum density (PSD). To provide supporting data, three speaking subjects were used in a similar testing paradigm using EEG signals recorded over the speech area.Results. Conspicuous lower beta band peaks were identified around the time of assumed speech onset. The correlations between single unit firings, recorded at the same time as the continuous neural signals, were found to increase after the lower beta band peaks as compared to before the peaks. Studies in the nonparalyzed control individuals suggested that the lower beta band peaks were related to the movement of the articulators of speech (tongue, jaw, and lips), not to higher order speech processes.Significance and Potential Impact. The results indicate that the onset of silent and overt speech is associated with a sharp peak in lower beta band activity—an important step in the development of a speech prosthesis. This raises the possibility of using these peaks in online applications to assist decoding paradigms being developed to decode speech from neural signal recordings in mute humans.
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