从神经信号解码人类运动:综述。

BMC biomedical engineering Pub Date : 2019-09-03 eCollection Date: 2019-01-01 DOI:10.1186/s42490-019-0022-z
Wing-Kin Tam, Tong Wu, Qi Zhao, Edward Keefer, Zhi Yang
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引用次数: 44

摘要

许多人由于截肢或神经系统疾病而患有运动障碍。幸运的是,随着现代神经技术的发展,现在有可能在神经转导通路的各个点拦截运动控制信号,并利用这些信号驱动外部设备进行通信或控制。在此,我们将回顾人类运动解码的最新进展。本文综述了人类运动意向解码的各种策略,以及各自的优势和挑战。神经控制信号可以在神经信号转导通路的各个点上被截获,包括大脑(脑电图、皮质电图、皮质内记录)、神经(周围神经记录)和肌肉(肌电图)。我们系统地讨论了每个潜在截获点的信号采集位置、可用的神经特征、信号处理技术和解码算法。还审查了应用实例和目前最先进的性能。尽管在人类运动解码方面已经取得了巨大的进步,但我们离实现像我们天生的四肢那样自然而灵巧的控制还很遥远。需要材料科学家、电气工程师和医疗保健专业人员共同努力,进一步推动该领域的发展,并使该技术广泛应用于临床。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Human motor decoding from neural signals: a review.

Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding. We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Neural control signals can be intercepted at various points in the neural signal transduction pathway, including the brain (electroencephalography, electrocorticography, intracortical recordings), the nerves (peripheral nerve recordings) and the muscles (electromyography). We systematically discussed the sites of signal acquisition, available neural features, signal processing techniques and decoding algorithms in each of these potential interception points. Examples of applications and the current state-of-the-art performance were also reviewed. Although great strides have been made in human motor decoding, we are still far away from achieving naturalistic and dexterous control like our native limbs. Concerted efforts from material scientists, electrical engineers, and healthcare professionals are needed to further advance the field and make the technology widely available in clinical use.

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