Response Regulation for Epidermal Fabric Strain Sensors via Mechanical Strategy

Bai, Yunzhao; Yin, Liting; Hou, Chunfeng; Zhou, Yunlei; Zhang, Fan; Xu, Zhangyu; Li, K.; Huang, YongAn

doi:10.1002/adfm.202214119

Cited by 36 publications

(6 citation statements)

References 78 publications

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“…Among them, the conductive active material allows the sensor to maintain favorable conductive properties and long-term sensing characteristics. For example, carbon-based materials − (carbon nanotubes, graphene), metal nanomaterials , (gold and silver nanowires), conductive polymers , (PEDOT: PSS), etc. have been widely used.…”

Section: Introductionmentioning

confidence: 99%

High-Fidelity, Low-Hysteresis Bionic Flexible Strain Sensors for Soft Machines

Li,

Yao,

Meng

et al. 2024

ACS Nano

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Stretchable flexible strain sensors based on conductive elastomers are rapidly emerging as a highly promising candidate for popular wearable flexible electronic and softmechanical sensing devices. However, due to the intrinsic limitations of low fidelity and high hysteresis, existing flexible strain sensors are unable to exploit their full application potential. Herein, a design strategy for a successive threedimensional crack conductive network is proposed to cope with the uncoordinated variation of the output resistance signal arising from the conductive elastomer. The electrical characteristics of the sensor are dominated by the successive crack conductive network through a greater resistance variation and a concise sensing mechanism. As a result, the developed elastomer bionic strain sensors exhibit excellent sensing performance in terms of a smaller overshoot response, a lower hysteresis (∼2.9%), and an ultralow detection limit (0.00179%). What's more, the proposed strategy is universal and applicable to many conductive elastomers with different conductive fillers (including 0-D, 1-D, and 2-D conductive fillers). This approach improves the sensing signal accuracy and reliability of conductive elastomer strain sensors and holds promising potential for various applications in the fields of e-skin and soft robotic systems.

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Section: Introductionmentioning

confidence: 99%

High-Fidelity, Low-Hysteresis Bionic Flexible Strain Sensors for Soft Machines

Li,

Yao,

Meng

et al. 2024

ACS Nano

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“…Therefore, elastomers have been widely utilized in manufacturing stretchable thin-film devices with open mesh designs that possess breathable characteristics [24]. An approach involves embedding metal nanowires into elastomers to manufacture breathable electrodes with deformability [40][41][42][43]. Another advantage of the design is its low mechanical stiffness, facilitating a close connection with highly textured skin [44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Skin Electrodes Based on TPU Fiber Scaffolds with Conductive Nanocomposites with Stretchability, Breathability, and Washability

Zhao,

Yang,

2024

Micromachines

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In the context of an aging population and escalating work pressures, cardiovascular diseases pose increasing health risks. Electrocardiogram (ECG) monitoring presents a preventive tool, but conventional devices often compromise comfort. This study proposes an approach using Ag NW/TPU composites for flexible and breathable epidermal electronics. In this new structure, TPU fibers are used to support Ag NWs/TPU nanocomposites. The TPU fiber-reinforced Ag NW/TPU (TFRAT) nanocomposites exhibit excellent conductivity, stretchability, and electromechanical durability. The composite ensures high steam permeability, maintaining stable electrical performance after washing cycles. Employing this technology, a flexible ECG detection system is developed, augmented with a convolutional neural network (CNN) for automated signal analysis. The experimental results demonstrate the system’s reliability in capturing physiological signals. Additionally, a CNN model trained on ECG data achieves over 99% accuracy in diagnosing arrhythmias. This study presents TFRAT as a promising solution for wearable electronics, offering both comfort and functionality in long-term epidermal applications, with implications for healthcare and beyond.

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“…Human skin is an advanced multimodal soft sensor that is capable of decoupling various external signals such as pressure, temperature, and moisture without signal interference. [1,2] Inspired by human skin, a variety of elegant soft sensors that can sense a variety of external stimuli including strain, [3][4][5][6] temperature, [7][8][9] and humidity have been developed. [10][11][12][13] These bioinspired soft sensors have been of great interest for competitive applications in the fields of, for instance, human-machine interfaces (HMIs), [14][15][16] wearable devices, [17][18][19][20][21] and soft robotics.…”

Section: Introductionmentioning

confidence: 99%

PEGgel‐Based Multimodal Soft Sensors Capable of Decoupling Thermal and Mechanical Stimuli

Chen,

Liu,

et al. 2024

Adv Materials Technologies

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Inspired by human skin, soft sensors that are capable of sensing various external signals have been an active area of research. However, the vast majority of the developed soft sensors still lag far behind human skin in terms of multimodal sensing capability. Herein, this work reports on a multimodal soft sensor that can decouple thermal and mechanical signals. The sensor is made of poly(ethylene glycol) gel (PEGgel) containing ionic liquid, which is stretchable and transparent and shows decent strain and temperature sensing performances. Importantly, analysis of the ion relaxation dynamics shows that the charge relaxation time and capacitance change of the sensor are independently sensitive to the variations of temperature and mechanical deformation, respectively. By measuring the charge relaxation time and capacitance, the thermal and mechanical signals detected by the PEGgel sensor can be nicely decoupled without signal interference. Such a multimodal soft sensor may serve as a starting point for the development of lifelike soft sensors for high‐tech applications in a variety of fields such as soft robotics, the internet of things, and human–machine interaction.

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Response Regulation for Epidermal Fabric Strain Sensors via Mechanical Strategy

Cited by 36 publications

References 78 publications

High-Fidelity, Low-Hysteresis Bionic Flexible Strain Sensors for Soft Machines

High-Fidelity, Low-Hysteresis Bionic Flexible Strain Sensors for Soft Machines

Skin Electrodes Based on TPU Fiber Scaffolds with Conductive Nanocomposites with Stretchability, Breathability, and Washability

PEGgel‐Based Multimodal Soft Sensors Capable of Decoupling Thermal and Mechanical Stimuli

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