Kappel Simon L, Christensen Christian B, Mikkelsen Kaare B, Kidmose Preben
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5689-5692. doi: 10.1109/EMBC.2016.7592018.
Ear-EEG is a non-invasive EEG recording method, where EEG is recorded from electrodes placed in the ear. Ear-EEG could be implemented into hearing aids, and provide neurofeedback for e.g. objective hearing assessment through measurements of the auditory steady-state response. In cases where the objective is to measure a specific feature of an event-related potential, there will be a subject specific optimal reference configuration. This work presents a method for optimizing the reference configuration for steady-state type potentials. For given electrode positions, the method maximizes the signal-to-noise (SNR) ratio of the first harmonic of the steady-state response. This is obtained by estimating a set of weights applied to the electrode signals. The method was validated on a dataset recorded from 12 subjects. The weights were estimated from one part of the dataset, and the validation was performed on another part of the dataset. For all subjects the proposed method demonstrated a robust SNR estimate, yielding on par or better SNR compared to other well-known methods.
耳脑电图(Ear-EEG)是一种非侵入性的脑电图记录方法,通过放置在耳朵中的电极记录脑电图。耳脑电图可以集成到助听器中,并通过测量听觉稳态反应等方式提供神经反馈,用于客观听力评估。在旨在测量事件相关电位的特定特征的情况下,会存在针对个体的最佳参考配置。这项工作提出了一种优化稳态型电位参考配置的方法。对于给定的电极位置,该方法可使稳态反应基波的信噪比(SNR)最大化。这是通过估计一组应用于电极信号的权重来实现的。该方法在从12名受试者记录的数据集中得到了验证。权重是从数据集的一部分估计得出的,验证则在数据集的另一部分上进行。对于所有受试者,所提出的方法都展示了稳健的SNR估计,与其他知名方法相比,产生了相当或更好的SNR。