Stretchable Multichannel Electromyography Sensor Array Covering Large Area for Controlling Home Electronics with Distinguishable Signals from Multiple Muscles
Source abstract
Abstract
Physiological signals provide important information for biomedical applications and, more recently, in the form of wearable electronics for active interactions between bodies and external environments. Multiple physiological sensors are often required to map distinct signals from multiple points over large areas for more diverse applications. In this paper, we present a reusable, multichannel, surface electromyography (EMG) sensor array that covers multiple muscles over relatively large areas, with compliant designs that provide different levels of stiffness for repetitive uses, without backing layers. Mechanical and electrical characteristics along with distinct measurements from different muscles demonstrate the feasibility of the concept. The results should be useful to actively control devices in the environment with one array of wearable sensors, as demonstrated with home electronics.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering and ‡Research Institute of Solar and Sustainable Energy, Gwangju Institute of Science and Technology (GIST), 123 Cheomdan-gwagiro, Buk-gu, Gwangju 61005, Republic of Korea
Funding
National Research Foundation of Korea · Gwangju Institute of Science and Technology · Ministry of Science, ICT and Future Planning
References (34)
Show source-provided references
1. 10.1109/TSMCC.2009.203266010.1109/TSMCC.2009.2032660 ↗
2. 10.1002/app.3946110.1002/app.39461 ↗
3. 10.1186/1743-0003-9-2110.1186/1743-0003-9-21 ↗
4. 10.1109/TBME.2014.230995110.1109/TBME.2014.2309951 ↗
5. 10.1126/science.120615710.1126/science.1206157 ↗
6. 10.1109/IEMBS.2004.140363810.1109/IEMBS.2004.1403638 ↗
7. 10.1038/nnano.2014.3810.1038/nnano.2014.38 ↗
8. 10.1002/adma.20130424810.1002/adma.201304248 ↗
9. 10.1021/acsami.5b0500110.1021/acsami.5b05001 ↗
10. 10.3389/fsurg.2014.0003910.3389/fsurg.2014.00039 ↗
11. 10.1088/0957-4484/23/34/34400410.1088/0957-4484/23/34/344004 ↗
12. 10.1002/smll.20120094310.1002/smll.201200943 ↗
13. 10.1038/ncomms432910.1038/ncomms4329 ↗
14. 10.1021/am504110u10.1021/am504110u ↗
15. 10.1021/acsami.5b0395510.1021/acsami.5b03955 ↗
16. 10.1002/adma.20130192110.1002/adma.201301921 ↗
17. 10.1023/A:102449403112110.1023/A:1024494031121 ↗
18. 10.1109/ROBOT.1998.68097810.1109/ROBOT.1998.680978 ↗
19. Preston D. C. · 2012
20. 10.1016/j.clinph.2009.10.04010.1016/j.clinph.2009.10.040 ↗
21. 10.1016/S0966-6362(98)00025-310.1016/S0966-6362(98)00025-3 ↗
22. 10.3390/s12020225510.3390/s120202255 ↗
23. 10.1109/TSMCA.2011.211600410.1109/TSMCA.2011.2116004 ↗
24. 10.1038/ncomms577910.1038/ncomms5779 ↗
25. 10.1038/srep0607410.1038/srep06074 ↗
26. 10.1016/j.snb.2014.08.06910.1016/j.snb.2014.08.069 ↗
27. 10.1002/adhm.20120009810.1002/adhm.201200098 ↗
28. 10.1073/pnas.050239210210.1073/pnas.0502392102 ↗
29. 10.1002/adhm.20140064710.1002/adhm.201400647 ↗
30. 10.1109/TBME.2010.210039310.1109/TBME.2010.2100393 ↗
31. 10.1109/TBME.2014.230855210.1109/TBME.2014.2308552 ↗
32. 10.3390/s15081923710.3390/s150819237 ↗
33. 10.1016/j.nanoen.2013.07.01210.1016/j.nanoen.2013.07.012 ↗
34. 10.1152/japplphysiol.01070.200310.1152/japplphysiol.01070.2003 ↗