Ultrasoft Porous 3D Conductive Dry Electrodes for Electrophysiological Sensing and Myoelectric Control
Source abstract
Abstract
Abstract Biopotential electrodes have found broad applications in health monitoring, human–machine interactions, and rehabilitation. This article reports the fabrication and applications of ultrasoft breathable dry electrodes that can address several challenges for their long‐term wearable applications—skin compatibility, wearability, and long‐term stability. The proposed electrodes rely on porous and conductive silver nanowire‐based nanocomposites as the robust mechanical and electrical interface. The highly conductive and conformable structure eliminates the necessity of conductive gel while establishing a sufficiently low electrode–skin impedance for high‐fidelity electrophysiological sensing. The introduction of gas‐permeable structures via a simple and scalable method based on sacrificial templates improves breathability and skin compatibility for applications requiring long‐term skin contact. Such conformable and breathable dry electrodes allow for efficient and unobtrusive monitoring of heart, muscle, and brain activities. In addition, based on the muscle activities captured by the electrodes and a musculoskeletal model, electromyogram‐based neural–machine interfaces are realized, illustrating the great potential for prosthesis control, neurorehabilitation, and virtual reality.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering Stony Brook University Stony Brook NY 11794 USA
Department of Mechanical and Aerospace Engineering North Carolina State University Raleigh NC 27695 USA
Joint Department of Biomedical Engineering at University of North Carolina‐Chapel Hill and NC State University Chapel Hill/Raleigh, NC 27599/27695 USA
References (63)
Show source-provided references
1. 10.1002/advs.20200193810.1002/advs.202001938 ↗
2. 10.1109/RBME.2010.208407810.1109/RBME.2010.2084078 ↗
3. 10.1080/03091902.2020.185383810.1080/03091902.2020.1853838 ↗
4. 10.3389/fnbot.2019.0000710.3389/fnbot.2019.00007 ↗
5. Dwivedi A. · 2020
6. Mavridou I. · 2018
7. 10.3389/fpsyg.2018.0128010.3389/fpsyg.2018.01280 ↗
8. 10.1109/TBME.2006.88919710.1109/TBME.2006.889197 ↗
9. 10.1007/s11837-016-1818-010.1007/s11837-016-1818-0 ↗
10. 10.1021/acsnano.7b0218210.1021/acsnano.7b02182 ↗
11. 10.1038/nnano.2017.12510.1038/nnano.2017.125 ↗
12. 10.1038/s41551-019-0347-x10.1038/s41551-019-0347-x ↗
13. 10.1021/acsnano.0c0090610.1021/acsnano.0c00906 ↗
14. 10.1002/adma.20180432710.1002/adma.201804327 ↗
15. 10.1002/aelm.20200030610.1002/aelm.202000306 ↗
16. 10.1002/smll.20190075510.1002/smll.201900755 ↗
17. 10.1039/C9TC02584G10.1039/C9TC02584G ↗
18. 10.1021/acsnano.9b0628310.1021/acsnano.9b06283 ↗
19. 10.1038/srep1150510.1038/srep11505 ↗
20. 10.1021/acsami.9b0636310.1021/acsami.9b06363 ↗
21. 10.1002/admt.20160004710.1002/admt.201600047 ↗
22. 10.1002/admt.20160011710.1002/admt.201600117 ↗
23. 10.1109/TNSRE.2018.285983310.1109/TNSRE.2018.2859833 ↗
24. 10.1021/acsami.9b0752010.1021/acsami.9b07520 ↗
25. 10.1002/adhm.20160115910.1002/adhm.201601159 ↗
26. 10.1126/science.120615710.1126/science.1206157 ↗
27. 10.1088/2399-7532/aba6e310.1088/2399-7532/aba6e3 ↗
28. 10.1002/adfm.20170292610.1002/adfm.201702926 ↗
29. Smooth‐On Inc. Ecoflex™ Series Super‐Soft Addition Cure Silicone Rubbers https://www.smooth-on.com/products/ecoflex-00-30/(accessed: January 2019).
30. 10.1016/j.snb.2018.08.15510.1016/j.snb.2018.08.155 ↗
31. 10.3390/s15071724110.3390/s150717241 ↗
32. 10.1039/b904083h10.1039/b904083h ↗
33. 10.1002/adhm.20170055210.1002/adhm.201700552 ↗
34. 10.1002/adma.20130192110.1002/adma.201301921 ↗
35. 10.1002/adma.20120442610.1002/adma.201204426 ↗
36. 10.1038/s41467-020-18503-810.1038/s41467-020-18503-8 ↗
37. 10.1002/adfm.20180327910.1002/adfm.201803279 ↗
38. 10.1073/pnas.211190411810.1073/pnas.2111904118 ↗
39. 10.1021/acsami.0c0413410.1021/acsami.0c04134 ↗
40. 10.1038/nmat375510.1038/nmat3755 ↗
41. 10.1002/adfm.20150475510.1002/adfm.201504755 ↗
42. 10.1002/anie.20120959610.1002/anie.201209596 ↗
43. 10.1002/ange.20140045710.1002/ange.201400457 ↗
44. 10.1039/C5RA01519G10.1039/C5RA01519G ↗
45. 10.1002/adma.20120188610.1002/adma.201201886 ↗
46. 10.1002/admt.20170023210.1002/admt.201700232 ↗
47. 10.1021/nn501204t10.1021/nn501204t ↗
48. 10.1039/C9QI00989B10.1039/C9QI00989B ↗
49. 10.1039/C6RA25260E10.1039/C6RA25260E ↗
50. 10.1021/acsami.8b0045710.1021/acsami.8b00457 ↗
51. 10.1088/0967-3334/34/9/R4710.1088/0967-3334/34/9/R47 ↗
52. 10.1039/C4RA15101A10.1039/C4RA15101A ↗
53. 10.1088/0967-3334/21/2/30710.1088/0967-3334/21/2/307 ↗
54. 10.1109/TBME.2012.219028810.1109/TBME.2012.2190288 ↗
55. 10.1038/s41467-021-25152-y10.1038/s41467-021-25152-y ↗
56. 10.1016/j.snb.2016.10.00510.1016/j.snb.2016.10.005 ↗
57. ADInstruments Electroencephalography Student Protocol 2010 (accessed: January 2020).
58. Delagi E. · 1980
59. 10.1109/TNSRE.2018.283844810.1109/TNSRE.2018.2838448 ↗
60. 10.1007/978-1-4613-9030-510.1007/978-1-4613-9030-5 ↗
61. 10.1016/j.jbiomech.2016.10.03510.1016/j.jbiomech.2016.10.035 ↗
62. 10.1682/JRRD.2010.08.014910.1682/JRRD.2010.08.0149 ↗
63. 10.1038/s41598-018-33494-910.1038/s41598-018-33494-9 ↗