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神经疾病的神经机器人模型:一篇小型综述

Neurorobotic Models of Neurological Disorders: A Mini Review.

作者信息

Pronin Savva, Wellacott Liam, Pimentel Jhielson, Moioli Renan C, Vargas Patricia A

机构信息

Robotics Laboratory, Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom.

College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom.

出版信息

Front Neurorobot. 2021 Mar 19;15:634045. doi: 10.3389/fnbot.2021.634045. eCollection 2021.

DOI:10.3389/fnbot.2021.634045
PMID:33828474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8020031/
Abstract

Modeling is widely used in biomedical research to gain insights into pathophysiology and treatment of neurological disorders but existing models, such as animal models and computational models, are limited in generalizability to humans and are restricted in the scope of possible experiments. Robotics offers a potential complementary modeling platform, with advantages such as embodiment and physical environmental interaction yet with easily monitored and adjustable parameters. In this review, we discuss the different types of models used in biomedical research and summarize the existing neurorobotics models of neurological disorders. We detail the pertinent findings of these robot models which would not have been possible through other modeling platforms. We also highlight the existing limitations in a wider uptake of robot models for neurological disorders and suggest future directions for the field.

摘要

建模在生物医学研究中被广泛应用,以深入了解神经疾病的病理生理学和治疗方法,但现有的模型,如动物模型和计算模型,在对人类的通用性方面存在局限性,并且在可能的实验范围上受到限制。机器人技术提供了一个潜在的补充建模平台,具有诸如具身性和与物理环境交互等优势,同时参数易于监测和调整。在这篇综述中,我们讨论了生物医学研究中使用的不同类型的模型,并总结了现有的神经疾病神经机器人模型。我们详细阐述了这些机器人模型的相关发现,而这些发现通过其他建模平台是不可能实现的。我们还强调了在更广泛地采用神经疾病机器人模型方面存在的现有局限性,并提出了该领域未来的发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e83a/8020031/462df4ccd088/fnbot-15-634045-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e83a/8020031/462df4ccd088/fnbot-15-634045-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e83a/8020031/462df4ccd088/fnbot-15-634045-g0001.jpg

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