Summary of the Conference Call on Brain-Computer Interface Technology Company and Industry Overview - The conference focused on Shanghai Aoyi Information Technology, which has been in the brain-computer interface (BCI) field for ten years, specializing in BCI and neural signal decoding technology, as well as core components for robotics [2][19]. Core Insights and Arguments - **Market Positioning**: Shanghai Aoyi is actively involved in medical applications of BCI technology, particularly for treating neurological diseases such as stroke. The company provides EEG machines for signal acquisition and analysis, and has developed smart prosthetic hands for amputees using non-invasive techniques [2][3]. - **Government Support**: The BCI technology has been recognized by the government as one of the six key industries for the future. Recent policy changes in cities like Shanghai and Beijing have included certain surgical procedures under medical insurance, which is expected to accelerate the application of BCI technology in healthcare [4][14]. - **Applications of BCI**: Current applications of BCI technology include treatment for neurological diseases (e.g., stroke, Alzheimer's, epilepsy), rehabilitation training, and human-computer interaction in industrial and military settings, as well as AR/VR entertainment [5][10]. - **Signal Acquisition Methods**: There are three main methods for acquiring neural signals: invasive, non-invasive, and peripheral electromyography. Invasive methods provide high-quality signals but come with significant risks, while non-invasive methods are safer but yield lower quality signals [6][7]. - **AI Integration**: AI plays a crucial role in optimizing signal processing in BCI technology, enhancing system accuracy and efficiency, and enabling real-time feedback and adjustments [20][21]. Additional Important Points - **Challenges in BCI**: The industry faces challenges related to effectiveness, safety, material science, and technical issues. Each surgical procedure requires follow-up to assess outcomes, and materials used must be soft yet removable to avoid damage to brain tissue [15][17]. - **Future Prospects**: The BCI industry is expected to see significant advancements by 2026, with several important certifications anticipated to facilitate the application of both implanted and non-implanted devices in medical settings [13][14]. - **Commercialization of Non-Invasive Devices**: Non-invasive devices, such as exoskeletons, are being developed and are expected to enter the market soon. However, high costs may limit their initial penetration, although prices are expected to decrease with technological advancements [16][29]. - **Collaboration with Redick**: Shanghai Aoyi is collaborating with Redick on advanced technologies, including AI algorithms and electric control systems, with plans for comprehensive cooperation in prosthetics, exoskeletons, and robotics [30]. This summary encapsulates the key points discussed during the conference, highlighting the advancements, challenges, and future outlook of the brain-computer interface industry and Shanghai Aoyi Information Technology's role within it.

手臂还没抬起来，外骨骼就知道你要干啥了 ！ 美国 佐治亚理工学院等机构 的研究团队 近日公布了 一套 "读心"外骨骼系统。这 套系统 在你动作发生前就 预测你的意图， 500-550毫秒内给你加个buff 。 传统的外骨骼系统往往存在诸多限制：要么只能按照预设程序运行，缺乏实时感知能力；要么体积庞大、布线 复杂，难以在日常生活中使用；更关键的是，大多数系统无法准确预测使用者的运动意图。 佐治亚理工团队的这套系统巧妙地解决了这些痛点。 首先是传感器的突破 。研究团队开发了一种超薄柔性 EMG（肌电图）传感器，可以像创可贴一样贴在皮肤 上。这种传感器采用了 蛇形金纳米膜电极 设计，即使在 30%的拉伸应变下，经过300次循环测试后电阻变化 依然微乎其微。 怎么做到的？研究人员给外骨骼装上了柔性生物电子传感器，专门 捕捉你的肌肉信号 。再配合云端深度学习 算法，实时分析你想干啥。 与商用的硬质凝胶电极相比，这种柔性干电极不仅 避免了长时间佩戴造成的皮肤刺激 ，还能与不规则的人体 表面实现贴合，最大程度减少了运动伪影。在对比测试中，柔性传感器获得的 EMG信号质量与商用传感器完 全相当，信噪比表现相近。 简单来说，就 ...