journal article·2025-08Open access

Electrical Metamaterial‐Based Interconnects‐Enabled Highly Stretchable Wireless Electrocardiography Circuit

Anan Zhang, Alexandra Tessier, Shideh Kabiri Ameri

Advanced Materials Technologies· Volume 10· Issue 16

Abstract

Abstract Advancement of truly stretchable wireless circuits is crucial for the development of high‐fidelity wearables for health monitoring, human‐machine interfaces and body‐sensor network applications. Reported stretchable wireless circuits are capable of reliable functioning under tensile strain of up to 30%, which is not sufficient for applications on the parts of the body with greater deformation. Here, a novel strategy is reported for forming highly stretchable interconnects, namely electrical metamaterial‐based interconnect (EMI), that can be integrated with electronic components to develop complex stretchable circuits for various applications including wearables. EMIs are 3D microfluidic channels embedded in hyperelastic polymers, filled with liquid metal, gallium indium (GaIn). Unlike other metal conductors and liquid metal‐based interconnects reported so far, EMI shows metamaterial‐like property of reduction of its electrical resistance under strain. Using EMIs a highly stretchable wireless electrocardiography wearable is developed that functions reliably under up to 100% strain. The circuit includes amplifiers, filters, Bluetooth components, and a rechargeable battery and attaches to soft sensor patches via magnetic connectors. The use of the soft and stretchable circuit with the Young's modulus of 0.65 MPa along with soft sensors results in minimizing the motion artifacts significantly making it ideal for reliable long‐term health monitoring.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering Queen's University Kingston ON K7L 3N6 Canada

Centre for Neuroscience Studies (CNS) Queen's University Kingston ON K7L 3N6 Canada

Funding

Natural Sciences and Engineering Research Council of Canada · Canada Foundation for Innovation

References (54)

Show source-provided references
1. 10.3390/s1808241410.3390/s18082414 ↗
2. 10.1002/advs.20210112910.1002/advs.202101129 ↗
3. 10.1016/j.ijhcs.2023.10315710.1016/j.ijhcs.2023.103157 ↗
4. 10.1016/j.future.2017.09.08210.1016/j.future.2017.09.082 ↗
5. Guerrero‐Ibañez A. · Electronics, (Basel) · 2023 · 12 · 3587
6. 10.1038/s42256-019-0091-710.1038/s42256-019-0091-7 ↗
7. 10.4258/hir.2017.23.1.410.4258/hir.2017.23.1.4 ↗
8. World Health Organization. Cardiovascular diseases (CVDs) https://www.who.int/news‐room/fact‐sheets/detail/cardiovascular‐diseases‐(cvds).2021.
9. K. A.Muneer InIEEE‐EMBS Int. Conf. on Biomedical and Health Informatics (BHI) IEEE Piscataway NJ2014 pp.269–272.10.1109/BHI.2014.6864355 ↗
10. N.Van Helleputte M.Konijnenburg H.Kim J.Pettine D. W.Jee A.Breeschoten R. F.Yazicioglu In2014 IEEE Int. Solid‐State Circuits Conf. Digest of Technical Papers (ISSCC) IEEE Piscataway NJ2014 pp.314–315.10.1109/ISSCC.2014.6757449 ↗
11. S.Heuer D. R.Martinez S.Fuhrhop J.Ottenbacher In2009 IEEE Biomed. Circuits and Systems Conference IEEE Piscataway NJ2009 pp.113–116.10.1109/BIOCAS.2009.5372067 ↗
12. 10.1038/s41928-018-0116-y10.1038/s41928-018-0116-y ↗
13. 10.1016/j.isci.2018.05.01310.1016/j.isci.2018.05.013 ↗
14. 10.1126/scitranslmed.aaf259310.1126/scitranslmed.aaf2593 ↗
15. 10.1126/science.125016910.1126/science.1250169 ↗
16. 10.1002/advs.20190093910.1002/advs.201900939 ↗
17. 10.1126/science.aau078010.1126/science.aau0780 ↗
18. 10.1002/adma.20210397410.1002/adma.202103974 ↗
19. 10.1038/nature1231410.1038/nature12314 ↗
20. 10.1126/science.115436710.1126/science.1154367 ↗
21. 10.1038/ncomms1589410.1038/ncomms15894 ↗
22. 10.1002/adfm.20221333510.1002/adfm.202213335 ↗
23. 10.1063/1.508394210.1063/1.5083942 ↗
24. 10.1080/15980316.2022.207029110.1080/15980316.2022.2070291 ↗
25. K.Matsubara H.Ota In2019 IEEE 32nd Int. Conf. on Micro Electro Mechanical Systems MEMS IEEE Piscataway NJ2019 pp.296–298.10.1109/MEMSYS.2019.8870779 ↗
26. 10.1038/s41551-018-0335-610.1038/s41551-018-0335-6 ↗
27. 10.1126/sciadv.160207610.1126/sciadv.1602076 ↗
28. 10.1038/nmat490410.1038/nmat4904 ↗
29. 10.1038/s41467-021-25008-510.1038/s41467-021-25008-5 ↗
30. 10.1002/adma.20180185210.1002/adma.201801852 ↗
31. 10.1002/admt.20170035110.1002/admt.201700351 ↗
32. 10.1126/sciadv.aaw284410.1126/sciadv.aaw2844 ↗
33. 10.1002/admi.20170159610.1002/admi.201701596 ↗
34. 10.1038/s41563-021-00921-810.1038/s41563-021-00921-8 ↗
35. 10.1038/s43246-021-00169-410.1038/s43246-021-00169-4 ↗
36. 10.1038/s41928-022-00914-810.1038/s41928-022-00914-8 ↗
37. 10.1002/adfm.20120240510.1002/adfm.201202405 ↗
38. 10.1073/pnas.211627111910.1073/pnas.2116271119 ↗
39. 10.1126/sciadv.abg404110.1126/sciadv.abg4041 ↗
40. 10.1002/adma.20150220010.1002/adma.201502200 ↗
41. 10.1002/adma.20160496510.1002/adma.201604965 ↗
42. 10.3389/fmats.2019.0030310.3389/fmats.2019.00303 ↗
43. 10.1126/science.abo663110.1126/science.abo6631 ↗
44. 10.1021/acsami.5b0746410.1021/acsami.5b07464 ↗
45. 10.1038/s41467-023-43574-810.1038/s41467-023-43574-8 ↗
46. 10.1002/advs.20150012510.1002/advs.201500125 ↗
47. 10.1002/app.4702510.1002/app.47025 ↗
48. 10.1021/acsnano.7b0218210.1021/acsnano.7b02182 ↗
49. 10.1002/smm2.111410.1002/smm2.1114 ↗
50. 10.1109/TCPMT.2021.308264710.1109/TCPMT.2021.3082647 ↗
51. 10.1016/j.medengphy.2007.06.01110.1016/j.medengphy.2007.06.011 ↗
52. 10.1007/BF0040641510.1007/BF00406415 ↗
53. 10.3390/s2101007810.3390/s21010078 ↗
54. K. T.Sweeney D.Kearney T. E.Ward S.Coyle D.Diamond In35th Ann. Int. Conf. of the IEEE Eng. in Medicine and Biology Society (EMBC) IEEE Piscataway NJ2013 977–980.10.1109/EMBC.2013.6609666 ↗