Noise Evaluation System for Biosignal Sensors Using Pseudo-Skin and Helmholtz Coil
Noise Evaluation System for Biosignal Sensors Using Pseudo-Skin and Helmholtz Coil
复制标题
使用伪皮肤和亥姆霍兹线圈的生物信号传感器噪声评估系统
DOI:
10.1109/ismict.2019.8743712
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Sekitani Tsuyoshi
中科院分区:
文献类型:
--
作者:
Inaoka Misaki;Izumi Shintaro;Yoshimoto Shusuke;Nezu Toshikazu;Noda Yuki;Araki Teppei;Uemura Takafumi;Sekitani Tsuyoshi
A test equipment that can evaluate the contact resistance and amount of noise of biosignal sensors is proposed in this study. Biosignals such as EEG are easily masked by the noise derived from contact resistance, because of their feebleness. To realize a low-noise measurement, the contact resistance and the amount of noise of biosignal sensors need to be investigated accurately prior to measuring the biosignal. A pseudo-skin made of conductive rubber was employed in this study to evaluate the performance of the sensors objectively and efficiently, similar to actual working conditions. The proposed device is composed of the pseudo-skin, signal-generating circuits to imitate EEG signals and pseudo hum noise on a minute scale, and a coil to emit the pseudo hum noise into the test space. The contact resistance of the pseudo-skin can be compared to that of human foreheads. The experimental results indicated that the standard deviation of the contact resistance of the pseudo-skin is 1.70, which is smaller than that of the human foreheads, which is 6.64. This result demonstrated that the pseudo-skin is suitable for contact resistance evaluation of the biosignal sensors. In addition, the correlation between contact resistance and the amount of noise was evaluated to assess the validity of the system. The amount of noise obtained was 597.37 μVrms, 1063.09 μVrms, and 1694.04 μVrms for the conductive gels with contact resistances of 32.65 kΩ, 85.17 kΩ, and 405 kΩ, respectively. An increase in the amount of noise with the increasing contact resistance was observed from the results. Further improvement of the device and an intensive study of the evaluation method of noise are required in future, in order to establish an efficient evaluation method for biosignal sensors.