2022
DOI: 10.1016/j.apmt.2022.101479
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Self-adhesive polyurethane via selective photo-polymerization for biocompatible epidermal soft sensor and thermal heater

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Cited by 7 publications
(2 citation statements)
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“…According to the working mechanism, soft sensors generally contain color, strain, capacitance, resistive, magnetic, temperature, chemical sensors, etc. For instance, Hwang et al [ 203 ] prepared a self-adhesive biocompatible soft strain sensor that could monitor the motion of human beings and the biosignals based on the combination of the self-adhesive polyurethane (SAPU) and the silver nanowires (Ag NWs). Herein, as shown in Figure 6 b, the deformation (strain) of the objects could be detected by the changing resistance.…”
Section: Applicationmentioning
confidence: 99%
See 1 more Smart Citation
“…According to the working mechanism, soft sensors generally contain color, strain, capacitance, resistive, magnetic, temperature, chemical sensors, etc. For instance, Hwang et al [ 203 ] prepared a self-adhesive biocompatible soft strain sensor that could monitor the motion of human beings and the biosignals based on the combination of the self-adhesive polyurethane (SAPU) and the silver nanowires (Ag NWs). Herein, as shown in Figure 6 b, the deformation (strain) of the objects could be detected by the changing resistance.…”
Section: Applicationmentioning
confidence: 99%
“… Application of the soft robots: ( a ) Schematic illustrating the working process and the real-time color-changing of the ELbot [ 15 ]. ( b ) The signal from the soft sensor that was attached to the wrist at different angles; Reprinted with permission from the study presented in [ 203 ], License Number: 5761821174596, 2022 Elsevier Ltd. All rights reserved. ( c ) The exploded graphic of a stretchable circuit system, the LED stretchable circuit on the fingers and the WPMP attached to the wrist of a human; Reprinted with permission from the study presented in [ 207 ], License Number: 5761840026438, 2021 Elsevier B.V. All rights reserved.…”
Section: Applicationmentioning
confidence: 99%