Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
复制标题
人工智能通过神经接口实现对假体的实时和直观控制
DOI：
10.1109/tbme.2022.3160618
复制
发表时间：
2022-10-01
影响因子：
4.6
通讯作者：
Yang, Zhi
中科院分区：
文献类型：
--
作者：
Diu Khue Luu;Anh Tuan Nguyen;Yang, Zhi
目的：下一代的假手要能像真实的手一样移动和感觉，需要在人脑和机器之间建立强大的神经互连。研究方法：在这里，我们提出了一个神经假体系统来证明这一原则，采用人工智能（AI）代理翻译截肢者的运动意图通过外周神经接口。该人工智能代理基于递归神经网络（RNN）设计，可以同时从多通道神经数据中实时解码六个自由度（DOF）。解码器的性能的特点是在运动解码实验与三个人类截肢。结果如下：首先，我们展示了AI智能体使截肢者能够直观地控制假肢手，其手指和手腕运动的准确率高达97-98%。其次，我们证明了人工智能代理的实时性能，通过测量的反应时间和信息吞吐量在一个手势匹配任务。第三，我们研究了人工智能代理的长期使用，并展示了解码器在16个月的植入时间内的强大预测性能。结论及意义：我们的研究展示了人工智能神经技术的潜力，它是下一代灵巧直观的假手的基础。
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we present a neuroprosthetic system to demonstrate that principle by employing an artificial intelligence (AI) agent to translate the amputee's movement intent through a peripheral nerve interface. The AI agent is designed based on the recurrent neural network (RNN) and could simultaneously decode six degree-of-freedom (DOF) from multichannel nerve data in real-time. The decoder's performance is characterized in motor decoding experiments with three human amputees. Results: First, we show the AI agent enables amputees to intuitively control a prosthetic hand with individual finger and wrist movements up to 97-98% accuracy. Second, we demonstrate the AI agent's real-time performance by measuring the reaction time and information throughput in a hand gesture matching task. Third, we investigate the AI agent's long-term uses and show the decoder's robust predictive performance over a 16-month implant duration. Conclusion & significance: Our study demonstrates the potential of AI-enabled nerve technology, underling the next generation of dexterous and intuitive prosthetic hands.