Assistance Robotics and Biosensors
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http://hdl.handle.net/10045/82092
Title: | Assistance Robotics and Biosensors |
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Authors: | Torres, Fernando | Puente Méndez, Santiago T. | Úbeda, Andrés |
Research Group/s: | Automática, Robótica y Visión Artificial |
Center, Department or Service: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Keywords: | Electromyographic (EMG) sensors | Electroencephalographic (EEG) sensors | Assistance robotics applications | Robotic exoskeletons | Robotic prostheses | Advanced biomedical signal processing |
Knowledge Area: | Ingeniería de Sistemas y Automática |
Issue Date: | 17-Oct-2018 |
Publisher: | MDPI |
Citation: | Torres F, Puente ST, Úbeda A. Assistance Robotics and Biosensors. Sensors. 2018; 18(10):3502. doi:10.3390/s18103502 |
Abstract: | This Special Issue is focused on breakthrough developments in the field of biosensors and current scientific progress in biomedical signal processing. The papers address innovative solutions in assistance robotics based on bioelectrical signals, including: Affordable biosensor technology, affordable assistive-robotics devices, new techniques in myoelectric control and advances in brain–machine interfacing. |
URI: | http://hdl.handle.net/10045/82092 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s18103502 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Peer Review: | si |
Publisher version: | https://doi.org/10.3390/s18103502 |
Appears in Collections: | INV - AUROVA - Artículos de Revistas INV - HURO - Artículos de Revistas |
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