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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.
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1 The University of Texas at Austin, Texas Materials Institute, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
2 Department of Electrical and Computer Engineering at Texas A&M University, College Station, USA (GRID:grid.264756.4) (ISNI:0000 0004 4687 2082)
3 The University of Texas at Austin, Department of Mechanical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
4 The University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
5 The University of Texas at Austin, Department of Biomedical Engineering, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
6 The University of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
7 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)
8 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)