信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2024, Vol. 50 ›› Issue (5): 41-46.doi: 10.12267/j.issn.2096-5931.2024.05.006

专题:脑机接口 上一篇    下一篇

基于混合模态的脑机接口技术应用:神经康复新方向

Application of brain-computer interface based on hybrid modalities: a new direction in neural rehabilitation

董越, 刘可, 王涛   

  1. 苏州念及智能科技有限公司,苏州 215000
  • 收稿日期:2024-04-19 出版日期:2024-05-25 发布日期:2024-05-31
  • 通讯作者: 董越,苏州念及智能科技有限公司脑机接口创新实验室主任、助理研究员,主要从事脑电图及信号处理、脑机接口、视觉听觉及其他感觉系统等方面的研究工作
  • 作者简介:
    刘可,苏州念及智能科技有限公司算法工程师,主要从事视觉诱发电位和脑机接口应用等方面的研究工作
    王涛,苏州念及智能科技有限公司市场经理,主要从事脑机接口市场方面的研究工作

DONG Yue, LIU Ke, WANG Tao   

  1. Suzhou Nianji Intelligent Technology Co., Ltd., Suzhou 215000, China
  • Received:2024-04-19 Online:2024-05-25 Published:2024-05-31

摘要:

随着人口老龄化和慢性病患者增加,康复医疗领域面临着巨大挑战和机遇。非侵入式脑机接口技术作为一种创新的诊疗手段,为脑卒中等中枢神经受损导致运动失能的患病人群带来了新的希望。与传统康复训练相比,单一模态脑机接口技术具有激活感觉运动皮质、从大脑层面协助病人康复的优势,但单一模态各范式具有各自的局限性。混合模态是近年的研究热点,以两种范式相结合的方式来提升整体系统的可靠性和准确性。基于此,提出了一种新的运动-视觉混合模态脑机接口技术,该系统在在线实验中的平均分类准确率为86.67%,能够同时诱发运动皮层和视觉皮层的响应,有望成为主动康复、神经重塑的新范式。

关键词: 非侵入式脑机接口, 康复医疗, 视觉诱发电位, 运动想象, 混合模态

Abstract:

As the aging population and the number of patients with chronic diseases increase, the field of rehabilitation medicine faces both significant challenges and opportunities. Non-invasive brain computer interface (BCI) technology, as an innovative diagnostic and therapeutic tool, brings new hope to patients with motor disabilities caused by central nervous system damage such as stroke. Compared to traditional rehabilitation training, single-modal BCI technology has the advantage of activating sensory-motor cortex and assisting patients’ rehabilitation from a brain-level perspective, but each single-modal paradigm has its limitations. Hybrid modalities have been a recent research focus, aiming to improve the overall system’s reliability and accuracy by combining two modalities. Based on this, a novel motor-visual hybrid modality BCI technology is proposed, with an average classification accuracy of 86.67% in online experiments. It can simultaneously evoke responses from the motor cortex and visual cortex, and is expected to become a new paradigm for active rehabilitation and neural reshaping.

Key words: non-invasive BCI, neural rehabilitation, visual evoked potentials, motor imagery, hybrid modalities

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