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脑机接口“接”入现实要多久
Ren Min Ri Bao·2025-09-07 22:11

Core Insights - Brain-computer interface (BCI) technology is advancing rapidly, enabling applications such as controlling robotic arms and playing video games through brain waves [1][2] - The BCI industry is experiencing explosive growth, with significant improvements in decoding, control, and regulation capabilities, positioning it as a key driver for future industrial directions [1] Industry Development - The BCI system typically consists of three components: signal acquisition, signal analysis, and device control, categorized into non-invasive and invasive technologies [1] - Non-invasive BCI technology is relatively mature and has seen applications in stroke rehabilitation, fatigue monitoring, and brain health detection in China, with further expansion needed [1] - Invasive BCI technology, capable of capturing high-quality single-neuron signals, is progressing through various technical routes and has entered clinical trial phases [1][2] Technological Advancements - China is transitioning from the 1.0 phase of "perception and control separation" to the 2.0 phase of "closed-loop control and interactive perception" in BCI technology [2] - Significant achievements have been made in core components, signal decoding, and closed-loop systems, although challenges remain in standardization, decoding accuracy, and clinical sample sizes [2][3] Policy and Market Outlook - A joint initiative by multiple government departments aims to promote BCI industry innovation, setting development goals for 2027 and 2030, along with five key tasks for high-quality growth [2] - A collaborative development framework has been established in China, integrating policy guidance, technological research, ethical standards, and a standard system [3] - The BCI technology is expected to evolve into the "3.0 era" within the next 3 to 5 years, characterized by integrated perception and control, system intelligence, and interactive fusion [3] Application Potential - BCI technology is already being utilized in medical communication assistance and neuro-rehabilitation for specific populations [3] - Future applications are anticipated in emotional monitoring, brain fatigue warning, focus enhancement, cognitive training, and home automation as market demands grow [3]