Assistance Robotics and Biosensors 2019
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http://hdl.handle.net/10045/103711
| Title: | Assistance Robotics and Biosensors 2019 |
|---|---|
| Authors: | Úbeda, Andrés | Torres, Fernando | Puente Méndez, Santiago T. |
| Research Group/s: | Human Robotics (HURO) | Automática, Robótica y Visión Artificial |
| Center, Department or Service: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
| 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: | 29-Feb-2020 |
| Publisher: | MDPI |
| Citation: | Úbeda A, Torres F, Puente ST. Assistance Robotics and Biosensors 2019. Sensors. 2020; 20(5):1335. doi:10.3390/s20051335 |
| Abstract: | This Special Issue is focused on breakthrough developments in the field of assistive and rehabilitation robotics. The selected contributions include current scientific progress from biomedical signal processing and cover applications to myoelectric prostheses, lower-limb and upper-limb exoskeletons and assistive robotics. |
| URI: | http://hdl.handle.net/10045/103711 |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s20051335 |
| Language: | eng |
| Type: | info:eu-repo/semantics/article |
| Rights: | © 2020 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/s20051335 |
| Appears in Collections: | INV - AUROVA - Artículos de Revistas INV - HURO - Artículos de Revistas |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
 2020_Ubeda_etal_Sensors.pdf | 187,11 kB | Adobe PDF | Open Preview | |
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