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科学家用“隐藏”神经信号指令控制仿生假肢
Ke Ji Ri Bao· 2025-11-10 22:57
分析结果显示,即使在截肢多年后,大脑发出的复杂运动指令依然完整地保留在神经系统中,且这些精 细的信号可以通过数学算法被有效解码和重建。 这一突破意味着未来的仿生假肢将不再依赖简单的肌肉收缩模式进行粗略控制,而是能够响应使用者更 精细、更自然的运动意图。目前的研究成果也为下一代无线植入式设备的开发奠定了基础。这类设备有 望在未来实现将神经信号直接、实时地无线传输至仿生手或其他辅助系统,最终帮助截肢者恢复接近自 然的肢体功能。 (文章来源:科技日报) 奥地利维也纳医科大学与英国伦敦帝国理工学院团队开发出一种新方法,能精确捕捉并解码上臂截肢者 残肢中"隐藏"的神经信号,并将其转化为对仿生假肢的精确运动指令。这项成果发表于近期《自然·生 物医学工程》,为研发下一代更智能、更直观的仿生假肢铺平了道路。 团队为3名上肢截肢的志愿者植入了一种新型40通道微电极阵列。这些电极被植入经过靶向肌肉神经支 配(TMR)手术改造的肌肉中。TMR手术通过将截肢后残存的臂部神经重新连接到上臂残存的肌肉 上,创造出新的生物接口,使得原本用于控制手和手臂的神经信号能够在肌肉收缩时被检测到。 通过结合TMR手术与高密度植入式微电极,团队首次实 ...
让公众与前沿科技第一时间“零距离”接触——科普如何“快半拍”?
Huan Qiu Wang Zi Xun· 2025-09-30 08:11
Core Insights - The first National Science Popularization Month in September saw over 500 million participants in various online science activities, with the topic "Millions of IPs Creating Science Popularization" generating over 13.85 billion views, indicating a growing public enthusiasm for cutting-edge science [1][2] - There is a significant mismatch between the increasing public demand for high-quality science exhibits and the slow supply of such resources, highlighting a pressing need for improved science communication and exhibition strategies [1][2][3] Group 1: Public Engagement and Demand - The China Science and Technology Museum's new exhibition "Innovation Foundation: Science Popularization for the People" was extremely popular, with rapid booking slots indicating high public interest [1] - Visitors expressed excitement over interactive exhibits showcasing recent technological advancements, such as wearable electronic fabrics and quantum computing models, emphasizing the public's desire for timely and relevant science education [2][3] Group 2: Supply Challenges and Content Gaps - Many existing science exhibitions lag behind current scientific advancements, leading to public frustration and a perception that science communication is outdated [2][3] - The need for timely updates in science exhibits is critical, as many visitors noted that previous exhibitions often featured outdated content, particularly in fields like AI and biotechnology [2][3] Group 3: Institutional Responses and Innovations - In response to the supply-demand gap, the China Science and Technology Museum has partnered with universities and research institutions to create science laboratories aimed at bridging the gap between laboratory research and public exhibitions [3][4] - New exhibits, such as the "Moon Life Canister," have been developed to provide interactive experiences that educate the public about recent scientific achievements, demonstrating a shift towards more engaging and informative science communication [5][6] Group 4: Recommendations for Improvement - Experts suggest establishing mechanisms to enhance the collaboration between scientific research and public education, including integrating science communication into research planning and evaluation [6][7] - There is a call for better recognition of science communication efforts in academic evaluations, which could incentivize researchers to engage more actively in public science education [7][8] - Funding for scientific research should include provisions for science communication, ensuring that research outcomes are effectively translated into public knowledge [8][9]
上海:支持人工智能、智能传感、信息通信、脑机接口等技术在康复辅助器具领域集成应用研究
news flash· 2025-05-27 08:08
Core Viewpoint - Shanghai is accelerating the development of the rehabilitation assistive devices industry through a three-year action plan, focusing on integrating advanced technologies such as artificial intelligence, smart sensing, information communication, and brain-computer interfaces into this field [1] Group 1: Policy and Support - The Shanghai Municipal Development and Reform Commission, along with other departments, has issued a three-year action plan (2025-2027) to promote the rehabilitation assistive devices industry [1] - The plan emphasizes the importance of technological breakthroughs and encourages local enterprises to apply for national-level projects related to key products such as nursing robots, rehabilitation robots, bionic prosthetics, wearable devices, and virtual reality rehabilitation training equipment [1] Group 2: Goals and Targets - By 2027, the plan aims to implement 10 key technology (product) research and development projects and support more than 5 products under the elderly care technology special support [1]