Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(2), P. 455 - 553

Published: Jan. 4, 2024

In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to connected global Internet due lack soft conformal biosensors. The fundamental challenge lies in fact that electronics and biology are distinct incompatible, as they based on different materials via functioning principles. particular, body is curvilinear, yet typically rigid planar. Recent advances design have generated tremendous opportunities wearable bioelectronics, which may bridge gap, enabling ultimate dream healthcare anyone, anytime, anywhere. We begin with a review historical development healthcare, indicating significant trend healthcare. This followed by focal point discussion about new design, particularly low-dimensional nanomaterials. summarize material types their attributes designing bioelectronic sensors; we also cover synthesis fabrication methods, top-down, bottom-up, combined approaches. Next, discuss energy challenges progress made date. addition front-end devices, describe back-end machine learning algorithms, artificial intelligence, telecommunication, software. Afterward, integration systems been applied various testbeds real-world settings, laboratories preclinical clinical environments. Finally, narrate remaining conjunction our perspectives.

Language: Английский

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High-stretchability and low-hysteresis strain sensors using origami-inspired 3D mesostructures

Science Advances, Journal Year: 2023, Volume and Issue: 9(34)

Published: Aug. 25, 2023

Stretchable strain sensors are essential for various applications such as wearable electronics, prosthetics, and soft robotics. Strain with high range, minimal hysteresis, fast response speed highly desirable accurate measurements of large dynamic deformations bodies. Current stretchable mostly rely on deformable conducting materials, which often have difficulties in achieving these properties simultaneously. In this study, we introduce capacitive sensor concepts based origami-inspired three-dimensional mesoscale electrodes formed by a mechanically guided assembly process. These exhibit up to 200% stretchability 1.2% degree <22 ms time, small sensing area (~5 mm 2 ), directional responses. To showcase potential applications, demonstrate the use distributed measuring multimodal continuum arm.

Language: Английский

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

ACS Nano, Journal Year: 2024, Volume and Issue: 18(3), P. 2520 - 2530

Published: Jan. 10, 2024

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

Language: Английский

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Tunable porous fiber-shaped strain sensor with synergistic conductive network for human motion recognition and tactile sensing

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 491, P. 151853 - 151853

Published: May 9, 2024

Language: Английский

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Toward an AI Era: Advances in Electronic Skins

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(17), P. 9899 - 9948

Published: Aug. 28, 2024

Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic capabilities of human skin, a multitude flexible/stretchable sensors that detect physiological environmental signals been designed integrated into functional systems. Recently, researchers increasingly deployed machine learning other artificial intelligence (AI) technologies to neural system for processing analysis sensory data collected by e-skins. Integrating AI has potential enable advanced applications robotics, healthcare, human–machine interfaces but also presents challenges such as diversity model robustness. In this review, we first summarize functions features e-skins, followed feature extraction different models. Next, discuss utilization design e-skin address key topic implementation e-skins accomplish range tasks. Subsequently, explore hardware-layer in-skin before concluding with an opportunities various aspects AI-enabled

Language: Английский

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AI-Driven Sensing Technology: Review

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 2958 - 2958

Published: May 7, 2024

Machine learning and deep technologies are rapidly advancing the capabilities of sensing technologies, bringing about significant improvements in accuracy, sensitivity, adaptability. These advancements making a notable impact across broad spectrum fields, including industrial automation, robotics, biomedical engineering, civil infrastructure monitoring. The core this transformative shift lies integration artificial intelligence (AI) with sensor technology, focusing on development efficient algorithms that drive both device performance enhancements novel applications various engineering fields. This review delves into fusion ML/DL shedding light their profound design, calibration compensation, object recognition, behavior prediction. Through series exemplary applications, showcases potential AI to significantly upgrade functionalities widen application range. Moreover, it addresses challenges encountered exploiting these for offers insights future trends advancements.

Language: Английский

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Dual-stream deep learning integrated multimodal sensors for complex stimulus detection in intelligent sensory systems

Nano Energy, Journal Year: 2024, Volume and Issue: 122, P. 109342 - 109342

Published: Feb. 1, 2024

Language: Английский

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High linearity and low hysteresis LMPs/MXene/AgNWs strain sensor for human motion detection

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(3)

Published: Jan. 20, 2025

Resistive strain sensors show great potential in motion detection, medicine and healthcare, human–machine interaction owing to their ease of fabrication, simple structure, adjustable electrical performance. However, developing high-performance flexible resistive with high sensitivity, linearity, low hysteresis remains a challenge. In this work, we report an LMPs (liquid metal particles)/MXene/AgNWs sensor (LMA sensor) sensitivity (GF = 6.339), linearity (R2 0.982 24), (0.452%). process, AgNWs act as bridge between the MXene nanosheets, change contact area nanosheets under stretching endows sensitivity. The aggregated function structural framework, capitalizing on intrinsic fluidic characteristics serve adhesive silver nanowires (AgNWs) nanosheets. This approach effectively minimizes interstitial spaces MXene. formation Ti-O → Ga3+ coordination bonds has strengthened interfacial interactions. Consequently, demonstrates superior hysteresis. addition, sensitive layer buckled structure is obtained by stretch-release. inhibits inhomogeneous irreversible connection losses material, further improving sensor's mechanical durability. LMA can accurately detect various human activities such breathing expression detection. work will provide avenue for sensors.

Language: Английский

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High-Resolution Stretchable Soft Liquid Metal Circuits Based on Cu–Ga Alloying and Femtosecond Laser Ablation

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Flexible electronic circuits are critical in biomedical devices, human–machine interfaces, and wearable sensing systems, which further require flexible conductive materials with high conductivity, stretchability, electrical stability. Liquid metal (LM) has attracted much attention due to its unique metallic conductivity room-temperature fluidic properties. However, LM's surface tension properties increase the difficulty of patterning processing. Here, we report a scalable simple fabrication method based on femtosecond laser ablation for facile patterned LM Cu composite electrodes (LM@Cu) substrates. The LM@Cu electrodes, fabricated utilizing exceptional micro–nanoprocessing precision three-dimensional capabilities lasers, exhibit resolution (approximately 5 μm), superior (4.08 × 104 S/cm), enhanced In addition planar circuits, successfully 3D-patterned electrode PDMS hemispheres. presence ultrathin copper foils significantly improves wettability substrate, occurrence alloying reactions between circumvents challenges posed by pattern fabrication. We investigated electromechanical under twisting, bending, stretching detail. addition, serve as an interface rigid devices When suffering external damage, remain working after brush coating excellent fluidity LM. To explore this approach's potential, demonstrate various applications electronics, including stretchable luminous wristbands, strain sensors, "visible" thermotherapy panels relieving aching joints.

Language: Английский

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Highly stretchable and sensitive sensing composite yarn based on multidimensional structure modulation for wearable E-textiles

Applied Materials Today, Journal Year: 2025, Volume and Issue: 42, P. 102591 - 102591

Published: Jan. 11, 2025

Language: Английский

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