| 书目名称 | Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping |
| 编辑 | Eukene Imatz Ojanguren |
| 视频video | |
| 概述 | Nominated as an outstanding PhD thesis by the Intelligent Control Engineering group of the Comité Español de Automática (CEA).Proposes the use of fuzzy neural networks to model hand movements induced |
| 丛书名称 | Springer Theses |
| 图书封面 |  |
| 描述 | This thesis presents a novel .neuro-fuzzy modeling approach. for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.. |
| 出版日期 | Book 2019 |
| 关键词 | Multi-field FES Technology; Multi-field Electrodes; Selective Stimulation; Surface Neuroprostheses for |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-02735-3 |
| isbn_ebook | 978-3-030-02735-3Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 17:27:05
