Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses
Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses
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DOI：
10.1126/scitranslmed.3006820
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发表时间：
2014-02-05
影响因子：
17.1
通讯作者：
Micera, Silvestro
中科院分区：
文献类型：
--
作者：
Raspopovic, Stanisa;Capogrosso, Marco;Micera, Silvestro
手丧失是一种高度致残的事件，显著影响生活质量。为了实现对失去的手的接近自然的替换，应该为用户提供我们在抓握或操纵物体时自然感知到的丰富感觉。理想的双向手假体应该包括用户意图的可靠解码和通过残余传入通路同时且在真实的时间中传递接近“自然”的感觉反馈。然而，目前的手假体无法实现这些要求，特别是因为它们缺乏任何感觉反馈。我们表明，通过刺激正中神经和尺神经束，使用横向多通道神经束内电极，根据人工传感器提供的信息，从手假肢，生理上适当的（近自然）的感觉信息，可以提供给截肢者在实时解码不同的抓取任务，以控制灵巧的手假肢。这种反馈使参与者能够有效地调节假体的抓握力，而没有视觉或听觉反馈。受试者区分并持续使用三种不同的力水平。结果还表明，可以获得高度复杂的感知，允许受试者通过利用所引起的感觉的不同特征来识别三个不同对象的刚度和形状。这种方法可以提高手假体的功效和“逼真”的质量，从而为近自然替换缺失的手提供关键策略。
Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that we naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user's intentions and the delivery of nearly "natural" sensory feedback through remnant afferent pathways, simultaneously and in real time. However, current hand prostheses fail to achieve these requirements, particularly because they lack any sensory feedback. We show that by stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, according to the information provided by the artificial sensors from a hand prosthesis, physiologically appropriate (near-natural) sensory information can be provided to an amputee during the real-time decoding of different grasping tasks to control a dexterous hand prosthesis. This feedback enabled the participant to effectively modulate the grasping force of the prosthesis with no visual or auditory feedback. Three different force levels were distinguished and consistently used by the subject. The results also demonstrate that a high complexity of perception can be obtained, allowing the subject to identify the stiffness and shape of three different objects by exploiting different characteristics of the elicited sensations. This approach could improve the efficacy and "life-like" quality of hand prostheses, resulting in a keystone strategy for the near-natural replacement of missing hands.