Core Insights - The rapid development of AI in the medical field is creating a new industry segment, but it does not equate to AI directly diagnosing patients [2] - The integration of AI with human brain functions aims to address issues like sleep disorders and mental health through real-time monitoring and intervention [2][8] - The research team led by Professor Li Yuanqing is pioneering non-invasive brain-computer interface (BCI) technology in China [2][5] Group 1: Technology and Products - The key innovation is the "multi-modal brain-computer AI headband," which collects and analyzes brainwave signals to provide feedback [3][5] - The system can monitor and intervene in mental health issues such as depression and anxiety, as well as assist in focus training for children [8][10] - The BCI technology allows for control of external devices through brain signals, enhancing the functionality of smart medical equipment [12][14] Group 2: Market and Applications - The BCI products have gained traction in both domestic and international markets, with positive reception in the U.S. and plans to expand into the UK, Germany, and Japan [10][11] - Institutions such as psychological counseling centers and schools show higher enthusiasm for these products compared to individual consumers [11] - Clinical trials for BCI applications are underway in various hospitals, targeting patients with physical disabilities and neurological conditions [16] Group 3: Research and Development - The research team has made significant breakthroughs in BCI technology over the past 20 years, focusing on the collection and processing of brainwave signals [18][19] - The integration of AI and deep learning has enhanced the performance and accuracy of BCI systems [22] - The team is also exploring the potential of semi-invasive and invasive BCI technologies, which could offer higher signal quality for medical applications [23] Group 4: Challenges and Future Directions - The transition from research to commercialization faces hurdles such as market development and regulatory approval for medical devices [24] - Achieving seamless brain-machine integration remains a long-term goal, with ongoing advancements expected to bring the technology closer to this vision [25]

从脑机AI鼠标到智能仿生手，从正念冥想到脑控智慧病房，时下，"脑机接口"技术逐渐走向成熟，国内 外各类产业应用层出不穷。在广州，琶洲实验室常务副主任、脑机智能研究中心主任李远清教授自2019 年起便开始探索脑机接口科技成果转化的产业化尝试。 近期，华南脑控（广东）智能科技有限公司（以下简称"华南脑控"）的"脑机AI"项目，获得第十三届中 国创新创业大赛（广东·广州赛区）人工智能产业生态体系赛道一等奖。李远清作为华南脑控主要负责 人，受邀参与央视《中国科技创新盛典》节目录制，向全国观众介绍脑机接口技术和其无限潜能。 "脑机接口"到底如何读取我们的"意念"？能帮助我们解决哪些问题？本期《科技周刊》，记者来到琶洲 实验室，为大家揭秘"脑机接口"的神奇魔力。 文/广州日报全媒体记者武威图/广州日报全媒体记者李波通讯员王蕴理 脑机接口即大脑和外部设备之间的"接口"。科学家们发现，人类大脑的神经元会发出脑电信号形成某些 指令，并依靠全身神经传递这些指令，从而控制我们身体的肌肉与器官完成各项工作。大家熟知的癫痫 等疾病，其实就是大脑异常放电导致的。 当这些脑电信号被"接口"采集，并被"翻译"成可以识别的数字信号时，电脑就可 ...