Abstract

Electrodermal activity (EDA) is a popular index of mental stress. State-of-the-art EDA sensors suffer from obstructiveness on the palm or low signal fidelity off the palm. Our previous invention of sub-micron-thin imperceptible graphene e-tattoos (GET) is ideal for unobstructive EDA sensing on the palm. However, robust electrical connection between ultrathin devices and rigid circuit boards is a long missing component for ambulatory use. To minimize the well-known strain concentration at their interfaces, we propose heterogeneous serpentine ribbons (HSPR), which refer to a GET serpentine partially overlapping with a gold serpentine without added adhesive. A fifty-fold strain reduction in HSPR vs. heterogeneous straight ribbons (HSTR) has been discovered and understood. The combination of HSPR and a soft interlayer between the GET and an EDA wristband enabled ambulatory EDA monitoring on the palm in free-living conditions. A newly developed EDA event selection policy leveraging unbiased selection of phasic events validated our GET EDA sensor against gold standards.

Designing efficient sensing devices for ambulatory use remains a challenge. Here, the authors demonstrate heterogeneous serpentine ribbons enable a stretchable and robust interface between sub-micron thin graphene e-tattoos and thick and rigid printed circuit boards, which allows ambulatory electrodermal activity monitoring on the palm.

Details

Title
Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons
Author
Jang, Hongwoo 1 ; Sel, Kaan 2   VIAFID ORCID Logo  ; Kim, Eunbin 1 ; Kim, Sangjun 3 ; Yang, Xiangxing 4 ; Kang, Seungmin 5 ; Ha, Kyoung-Ho 3 ; Wang, Rebecca 6 ; Rao, Yifan 6   VIAFID ORCID Logo  ; Jafari, Roozbeh 7   VIAFID ORCID Logo  ; Lu, Nanshu 8   VIAFID ORCID Logo 

 The University of Texas at Austin, Texas Materials Institute, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 Department of Electrical and Computer Engineering at Texas A&M University, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 The University of Texas at Austin, Department of Mechanical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 The University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 The University of Texas at Austin, Department of Biomedical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 The University of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 Department of Electrical and Computer Engineering at Texas A&M University, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082); Department of Biomedical Engineering at Texas A&M University, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082); Department of Computer Science and Engineering at Texas A&M University, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082) 
 The University of Texas at Austin, Texas Materials Institute, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924); The University of Texas at Austin, Department of Mechanical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924); The University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924); The University of Texas at Austin, Department of Biomedical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924); The University of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2731636844
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.