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Electrode selection and other design considerations for a modular, portable single-channel EEG-augmented hearing aid

机译:模块化,便携式单通道EEG增强型助听器的电极选择和其他设计注意事项

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In this paper, we present a design for a portable single-channel EEG-controlled hearing aid. The design has relevance for future versions of hearing aids that may make use of electroencephalography (EEG) to control the settings and signal processing on the hearing aid. The design also has relevance for auditory-based brain-computer interface (BCI) systems. Current hearing aid technology uses only acoustic information to perform noise removal algorithms and to do directional beamforming using array microphones. Recent advances in EEG and applications in auditory-based BCI have opened the door for the potential use of EEG information to automatically control the function of a hearing aid. In this paper we describe the design of a modular mobile hearing aid platform that accepts EEG inputs. We have investigated which electrodes are the most relevant for performing an EEG-based classifier of oddball sounds using tones and nonsense syllables so that eventually a minimal set of electrodes may be used in a portable auditory-based EEG BCI system. And we have described the modular design of a portable hearing aid system which enables interchange of different USB-enabled EEG electrodes, codecs, and battery supplies. The system includes a dual-microphone array for enabling adaptive beamforming noise cancelation and a Linux-based processor for performing advanced noise cancelation and compression algorithms.
机译:在本文中,我们提出了一种便携式单通道EEG控制的助听器的设计。该设计与助听器的未来版本相关,后者可能会利用脑电图(EEG)来控制助听器的设置和信号处理。该设计还与基于听觉的脑机接口(BCI)系统相关。当前的助听器技术仅使用声学信息来执行噪声消除算法并使用阵列麦克风进行定向波束形成。 EEG的最新进展以及在基于听觉的BCI中的应用为使用EEG信息自动控制助听器功能打开了大门。在本文中,我们描述了接受EEG输入的模块化移动助听器平台的设计。我们已经研究了哪些电极与使用音调和无意义音节执行基于EEG的奇数球分类器最相关,因此最终可以在便携式基于听觉的EEG BCI系统中使用最少的一组电极。我们已经描述了便携式助听器系统的模块化设计,该系统可以互换使用USB的不同EEG电极,编解码器和电池电源。该系统包括一个用于实现自适应波束成形噪声消除的双麦克风阵列,以及一个用于执行高级噪声消除和压缩算法的基于Linux的处理器。

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