帮助高位截瘫患者稳定操控智能轮椅与机器狗 我国侵入式脑机接口技术迎来新突破
Huan Qiu Wang Zi Xun·2025-12-17 12:39

Core Insights - The article highlights the successful completion of China's second invasive brain-computer interface (BCI) clinical trial, enabling a high-level paraplegic patient to control a smart wheelchair and robotic dog using brain signals [1][2][5]. Group 1: Clinical Trial Achievements - The patient, who suffered from cervical spinal cord injury leading to high-level paraplegia, was able to control devices in real-life scenarios after undergoing training with the BCI system [2][5]. - The research team achieved significant advancements in technology, including a 15%-20% overall improvement in brain control performance through innovative data compression techniques [5][6]. - The trial demonstrated a shift from controlling electronic devices to managing physical objects, marking a significant step in the integration of BCI technology into daily life [7]. Group 2: Technological Innovations - The team developed a hybrid decoding model that efficiently extracts relevant information from noisy neural signals, enhancing the robustness of the system [6]. - An "online recalibration technology" was introduced, allowing the system to adjust parameters in real-time during use, improving user experience [6]. - The end-to-end latency of the BCI system was reduced to under 100 milliseconds, providing a seamless control experience for the patient [6]. Group 3: Future Developments - The research team is preparing for the first clinical trial of the upgraded BCI system (WRS02), which features an increase in channel count to 256 [8]. - The team is also focusing on the social integration of patients by involving them in online data annotation tasks, transforming them from recipients of care to contributors to society [9][11]. - Future goals include scaling applications for motor and speech function restoration within three years and achieving breakthroughs in sensory restoration and mental health conditions within five years [11][12].