Smart Control of Hearing Aid Using EEG

A. Noymai, Krit Janard, Sangvorn Seesutas, Tharapong Soonrach, P. Israsena
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引用次数: 1

Abstract

In this work, we experimented with the use of EEG signal to control a beamforming function of a hearing aid. An external EEG sensing system was designed and paired with a hearing aid. EEG signal was continuously read, with artifacts resulted from intentional eye blinks interpreted based on our average and variance model to identify the wearer’s intention to change the mode of the hearing aid. Based on the received command, the hearing aid would function either in an Omni-directional fashion, or directionally based on the designed beam forming structure. Experiments on experienced EEG users and volunteers were carried out to collect data to develop our decision model. The volunteers group was then retested to confirm the accuracy of the developed model. It was found that, in the controlled situation 100% accuracy was achieved, indicating the potential use of EEG as an enabler for smart control of hearing aid.
基于脑电图的助听器智能控制
在这项工作中,我们尝试使用脑电图信号来控制助听器的波束形成功能。设计了一种外接式脑电传感系统,并与助听器配对。连续读取EEG信号,根据我们的平均和方差模型解释故意眨眼产生的伪影,以确定佩戴者改变助听器模式的意图。根据接收到的指令,助听器将以全向方式或基于设计的波束形成结构的定向方式发挥作用。在有经验的脑电图使用者和志愿者身上进行实验,收集数据来发展我们的决策模型。然后对志愿者组进行重新测试,以确认开发的模型的准确性。研究发现,在受控情况下,EEG的准确率达到100%,这表明EEG有可能成为助听器智能控制的推动者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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