Soft, Skin-Conformal Electronic Interfaces for Multimodal Biosignal Monitoring and Transcutaneous Stimulation
Source abstract
Abstract
Soft, stable, and high-performance skin-electrode interfaces are essential for continuous electrophysiological recording and transcutaneous electrical stimulation. Conventional gel electrodes suffer from dehydration, unstable skin-electrode contact, reduced recording quality, and limited stimulation efficiency during prolonged use. This paper reports a soft, mixed-conducting nanocomposite electrode composed of poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) integrated with hygroscopic and ionic dopants. The synergistic formulation enhances mixed ionic-electronic conduction, mechanical softness, and long-term hydration stability. A simple micromolding process enables scalable fabrication of conformal, freestanding electrodes that adhere seamlessly to the skin. The optimized composition achieves an excellent balance between conductivity and softness, exhibiting approximately a 20-fold lower interfacial impedance and a 2.6-fold higher charge injection capacity compared to gel electrodes. As a result, these nanocomposite electrodes deliver higher signal-to-noise ratios in electrocardiography and electromyography recordings and enhanced bioimpedance sensitivity and achieve a 2-fold expansion of the stimulation window. This nanocomposite design establishes a versatile materials platform for soft, durable, and high-fidelity bioelectronic interfaces, enabling advances in wearable sensing and neuromodulation technologies.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Neuroscience and Neural Engineering · Muscle activation and electromyography studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical Engineering, Center for Remote Health Technologies and Systems
Texas A&M University
Department of Electrical and Computer Engineering
Department of Neurosurgery, Center for Neuroregeneration
Houston Methodist Research Institute
Funding
Division of Engineering Education and Centers · National Institute of General Medical Sciences
References (46)
Show source-provided references
1. 10.1021/acs.chemrev.8b0057310.1021/acs.chemrev.8b00573 ↗
2. 10.1039/C7LC00914C10.1039/C7LC00914C ↗
3. 10.1002/adsr.20220004910.1002/adsr.202200049 ↗
4. 10.1161/CIRCULATIONAHA.106.18020010.1161/CIRCULATIONAHA.106.180200 ↗
5. 10.1002/9781119082934.ch0210.1002/9781119082934.ch02 ↗
6. Teplan M. · Meas. Sci. Rev. · 2002 · 2 · 1
7. 10.1016/j.nut.2024.11260110.1016/j.nut.2024.112601 ↗
8. 10.1073/pnas.250427812210.1073/pnas.2504278122 ↗
9. 10.1002/adma.20150415510.1002/adma.201504155 ↗
10. 10.1126/scirobotics.aap977010.1126/scirobotics.aap9770 ↗
11. 10.1002/adma.20150415010.1002/adma.201504150 ↗
12. 10.1126/science.118238310.1126/science.1182383 ↗
13. 10.1038/s41467-022-28027-y10.1038/s41467-022-28027-y ↗
14. 10.1016/j.device.2024.10067610.1016/j.device.2024.100676 ↗
15. 10.1021/acsnano.4c1553010.1021/acsnano.4c15530 ↗
16. 10.1126/science.120615710.1126/science.1206157 ↗
17. 10.1038/nnano.2017.12510.1038/nnano.2017.125 ↗
18. 10.1002/adma.20190192410.1002/adma.201901924 ↗
19. 10.1038/s41467-020-18503-810.1038/s41467-020-18503-8 ↗
20. 10.1002/adfm.20230268110.1002/adfm.202302681 ↗
21. 10.1038/s41551-019-0347-x10.1038/s41551-019-0347-x ↗
22. 10.1038/s41528-022-00170-y10.1038/s41528-022-00170-y ↗
23. 10.1002/advs.20190081310.1002/advs.201900813 ↗
24. 10.20517/ss.2022.0710.20517/ss.2022.07 ↗
25. 10.1016/j.device.2025.10078110.1016/j.device.2025.100781 ↗
26. 10.1038/s41467-021-25152-y10.1038/s41467-021-25152-y ↗
27. 10.1126/sciadv.ads441510.1126/sciadv.ads4415 ↗
28. 10.1021/acsami.1c0053710.1021/acsami.1c00537 ↗
29. 10.1016/j.polymer.2004.10.00110.1016/j.polymer.2004.10.001 ↗
30. 10.1023/A:101898412141510.1023/A:1018984121415 ↗
31. 10.1016/j.matt.2025.10240910.1016/j.matt.2025.102409 ↗
32. 10.70401/bmeh.2025.000410.70401/bmeh.2025.0004 ↗
33. 10.1109/10.8359110.1109/10.83591 ↗
34. 10.1002/adma.20130192110.1002/adma.201301921 ↗
35. 10.1002/admt.20230015810.1002/admt.202300158 ↗
36. 10.1002/admt.20230140710.1002/admt.202301407 ↗
37. Sodolski T. · Cardiol. J. · 2007 · 14 · 115
38. 10.1016/j.amjhyper.2004.10.00910.1016/j.amjhyper.2004.10.009 ↗
39. 10.1038/hr.2008.2010.1038/hr.2008.20 ↗
40. 10.1111/j.1469-7793.2000.t01-1-00263.x10.1111/j.1469-7793.2000.t01-1-00263.x ↗
41. 10.1016/j.neurot.2024.e0033010.1016/j.neurot.2024.e00330 ↗
42. 10.2147/MDER.S12346410.2147/MDER.S123464 ↗
43. 10.1101/2023.12.22.57311910.1101/2023.12.22.573119 ↗
44. 10.3389/fpsyg.2016.0146610.3389/fpsyg.2016.01466 ↗
45. Grimnes S. · 2008
46. 10.1016/j.jpain.2023.06.01510.1016/j.jpain.2023.06.015 ↗