Development of Soft sEMG Sensing Structures Using 3D-Printing Technologies
| Autor: | Pedro Dias, Peter H. Veltink, Remco G.P. Sanders, Frodo Muijzer, Gijs Krijnen, Bert-Jan van Beijnum, Gerjan Wolterink |
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| Přispěvatelé: | Robotics and Mechatronics, Integrated Devices and Systems, Biomedical Signals and Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
3D-printing
Computer science 3D printing 02 engineering and technology lcsh:Chemical technology Biochemistry Article Analytical Chemistry EMG 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Computer vision Electrical and Electronic Engineering Muscle activity Conductive Instrumentation Electrodes business.industry 020206 networking & telecommunications Soft 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Printing Three-Dimensional Thermoplactic polyurethane (TPU) Artificial intelligence 0210 nano-technology Contact area business Flexible |
| Zdroj: | Sensors Volume 20 Issue 15 Sensors (Switzerland), 20(15):4292, 1-18. MDPI Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 4292, p 4292 (2020) |
| ISSN: | 1424-8220 |
| Popis: | 3D printing of soft EMG sensing structures enables the creation of personalized sensing structures that can be potentially integrated in prosthetic, assistive and other devices. We developed and characterized flexible carbon-black doped TPU-based sEMG sensing structures. The structures are directly 3D-printed without the need for an additional post-processing step using a low-cost, consumer grade multi-material FDM printer. A comparison between the gold standard Ag/AgCl gel electrodes and the 3D-printed EMG electrodes with a comparable contact area shows that there is no significant difference in the EMG signals&rsquo amplitude. The sensors are capable of distinguishing a variable level of muscle activity of the biceps brachii. Furthermore, as a proof of principle, sEMG data of a 3D-printed 8-electrode band are analyzed using a patten recognition algorithm to recognize hand gestures. This work shows that 3D-printed sEMG electrodes have great potential in practical applications. |
| Databáze: | OpenAIRE |
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