Applying dynamic data collection to improve dry electrode system performance for a P300-based brain-computer interface.

Applying dynamic data collection to improve dry electrode system performance for a P300-based brain-computer interface.
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DOI:
10.1088/1741-2560/13/6/066018
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发表时间:
2016-12
影响因子:
4
通讯作者:
Throckmorton CS
Throckmorton CS
中科院分区:
工程技术2区
文献类型:
--
作者:
Clements JM;Sellers EW;Ryan DB;Caves K;Collins LM;Throckmorton CS

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干电极比基于凝胶的“湿”电极具有优势,因为它为脑电图(EEG)记录提供了更快的设置时间;然而,潜在的较差接触可能导致更嘈杂的记录。我们研究的影响,这可能对大脑计算机接口通信和潜在的缓解方法。我们提出了一个性能比较的湿和干电极与P300拼写系统中的健康参与者和参与者的沟通障碍(ALS和PLS),并调查潜在的数据驱动的动态数据收集算法,以补偿较低的信号-噪声比(SNR)在干系统。在标准静态数据收集环境中获得的16名健康参与者的性能结果表明,干系统的准确性有很大损失。使用动态停止算法,可以通过在干系统中为10名健康参与者和8名有通信障碍的参与者收集更多数据来提高性能;然而,该算法没有完全补偿干系统的较低SNR。对湿系统和干系统记录的分析显示,在所有参与者的干系统记录中,δ和θ频带功率(分别为0.1-4 Hz和4-8 Hz)始终较高,表明慢波伪影可能是干系统的一个问题。使用干电极是可取的,以减少设置时间,但是,这项研究表明,在线性能显着较差,比湿电极的用户有和没有残疾。我们测试了一个新的应用程序的动态停止算法,以补偿较差的SNR。动态停止改善了干系统性能;然而,为了完全缓解,可能需要进一步的信号处理工作。
Dry electrodes have an advantage over gel-based “wet” electrodes by providing quicker set-up time for electroencephalography (EEG) recording; however, the potentially poorer contact can result in noisier recordings. We examine the impact that this may have on brain computer interface communication and potential approaches for mitigation. We present a performance comparison of wet and dry electrodes for use with the P300 speller system in both healthy participants and participants with communication disabilities (ALS and PLS), and investigate the potential for a data-driven dynamic data collection algorithm to compensate for the lower signal-to-noise ratio (SNR) in dry systems. Performance results from sixteen healthy participants obtained in the standard static data collection environment demonstrate a substantial loss in accuracy with the dry system. Using a dynamic stopping algorithm, performance may have been improved by collecting more data in the dry system for ten healthy participants and eight participants with communication disabilities; however, the algorithm did not fully compensate for the lower SNR of the dry system. An analysis of the wet and dry system recordings revealed that delta and theta frequency band power (0.1–4 Hz and 4–8 Hz, respectively) are consistently higher in dry system recordings across participants, indicating that slow wave artifacts may be an issue for dry systems. Using dry electrodes is desirable for reduced set-up time; however, this study demonstrates that online performance is significantly poorer than for wet electrodes for users with and without disabilities. We test a new application of dynamic stopping algorithms to compensate for poorer SNR. Dynamic stopping improved dry system performance; however, further signal processing efforts are likely necessary for full mitigation.
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