The advancement in brain–computer interface technology has facilitated real‐time communication between the brain and external devices, rapidly expanding invasive brain–computer interfaces. Nevertheless, little progress has been made in improving the one‐way, noninvasive brain–computer interface technology using conductive methods, necessitating enhancements to the current paste contact electrodes. In this paper, a captivating spherical electrode is fabricated that exhibits noncytotoxic properties, combining alginate hydrogel with indium tin oxide conductor components. The electrode's remarkable and consistent electrical conductivity enables it to generate stable adaptive deformations that conform to diverse scalp topographies. Most impedance values fall below 10 kΩ, indicating heightened hydrophilicity compared to traditional conductive pastes, as evidenced by contact angle measurements. An empirical electroencephalography data collection study confirms its conductivity and signal transmission reliability. The acquired electroencephalography signals are utilized for emotion recognition utilizing band energy ratio analysis and support vector machine (SVM) algorithms. The operation of this system is both straightforward and convenient, requiring minimal preparation before and after the collection of electroencephalography signals. Utilizing an extensive range of raw materials and straightforward preparatory procedures enhances the potential industrial application of hydrogel electrodes, thereby significantly contributing to advancing civilian electroencephalography equipment and investigating depression‐related pathologies.

中文翻译：

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用于脑电生理学的缩放弹性水凝胶接口


脑机接口技术的进步促进了大脑与外部设备之间的实时通信，侵入式脑机接口迅速扩展。然而，在使用导电方法改进单向、非侵入性脑机接口技术方面进展甚微，因此需要对当前的糊状接触电极进行改进。在本文中，将藻酸盐水凝胶与氧化铟锡导体成分相结合，制造了一种具有非细胞毒性特性的迷人球形电极。该电极具有卓越且一致的导电性，使其能够产生稳定的自适应变形，以适应不同的头皮地形。大多数阻抗值低于 10 kΩ，这表明与传统导电浆料相比亲水性更高，接触角测量结果证明了这一点。经验性脑电图数据收集研究证实了其电导率和信号传输的可靠性。获取的脑电图信号利用带能比分析和支持向量机（SVM）算法进行情绪识别。该系统的操作既简单又方便，在收集脑电图信号之前和之后只需要很少的准备工作。利用广泛的原材料和简单的制备程序增强了水凝胶电极的潜在工业应用，从而为推进民用脑电图设备和研究抑郁症相关病理学做出了重大贡献。