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上肢假肢传感器、纹理识别及感觉刺激的最新进展。

Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.

机构信息

Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Traylor Building, 720 Rutland Ave, Baltimore, MD, 21205, USA.

Department of Chemistry, Faculty of Science, National University of Singapore, Building 3 Science Drive 3, 117543, Singapore, Singapore.

出版信息

Ann Biomed Eng. 2021 Jan;49(1):57-74. doi: 10.1007/s10439-020-02678-8. Epub 2020 Nov 2.

Abstract

Current developments being made in upper limb prostheses are focused on replacing lost sensory information to the amputees. Providing sensory stimulation from the prosthesis can directly improve control over the prosthetic and provide a sense of body ownership. The focus of this review article is on recent developments while including foundational knowledge for some of the critical concepts in neural prostheses. Reported concepts follow the flow of information from sensors to signal processing, with emphasis on texture recognition, and then to sensory stimulation strategies that reestablish the lost sensory feedback loop. Prosthetic sensors are used to detect the physical environment, converting pressure, force, and position into electrical signals. The electrical signals can then be processed in an effort to identify the surrounding environment using distinctive characteristics such as stiffness and texture. In order for the amputee to use this information in a natural manner, there must be real-time sensory stimulation, perception, and motor control of the prosthesis. Although truly complete sensory replacement has not yet been realized, some basic percepts can be partially restored, allowing progress towards a more realistic prosthesis with natural sensations.

摘要

目前在上肢假肢方面的发展集中在为截肢者替代丧失的感觉信息。从假肢提供感觉刺激可以直接改善对假肢的控制,并提供身体所有权的感觉。本文综述的重点是最近的发展,同时包括神经假肢一些关键概念的基础知识。报道的概念遵循从传感器到信号处理的信息流,重点是纹理识别,然后是重新建立失去的感觉反馈回路的感觉刺激策略。假肢传感器用于检测物理环境,将压力、力和位置转换为电信号。然后可以处理电信号,以便使用独特的特征(如硬度和纹理)识别周围环境。为了让截肢者以自然的方式使用这些信息,必须对假肢进行实时感觉刺激、感知和运动控制。尽管尚未真正实现完全的感觉替代,但可以部分恢复一些基本感觉,从而朝着具有自然感觉的更逼真的假肢方向发展。

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