P(<scp>LLA‐co‐PDO</scp>) copolymers with random and block architectures: Synthesis and characterizations

Yin, Junyi; Zhao, Quan; Shen, Ya; Zhang, Zhuangzhuang

doi:10.1002/app.52410

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Multiple materials can be co‐electrospinning to obtain composite fibers, significantly increasing the diversity of nanofibers and broadening the selectivity of nanofibers for sensors. [ 42,51–55 ] In addition, electrospinning has a high degree of freedom. By changing the spinning fluid parameters, the diameter, structure, orientation, and morphology of the fibers and fiber‐based strain sensors can be designed with various structures and properties.…”

Section: Introductionmentioning

confidence: 99%

Advances in Wearable Strain Sensors Based on Electrospun Fibers

Xiao

Carlo

Yin

et al. 2023

Adv Funct Materials

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Wearable strain sensors with the ability of detecting physiological activities play an important role in personalized healthcare. Electrospun fibers have become a popular building block for wearable strain sensors due to their excellent mechanical properties, breathability, and light weight. In this review, the structure and preparation process of electrospun fibers and the conductive layer are systematically introduced. The impact of materials and structures of electrospun fibers on the wearable strain sensors with a following discussion of sensing performance optimization strategies is outlined. Furthermore, the applications of electrospun fiber‐based wearable strain sensors in biomonitoring, motion detection, and human‐machine interaction are presented. Finally, the challenges and promising future directions for the community of wearable strain sensors based on electrospun fibers are pointed out.

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Section: Introductionmentioning

confidence: 99%

Advances in Wearable Strain Sensors Based on Electrospun Fibers

Xiao

Carlo

Yin

et al. 2023

Adv Funct Materials

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“…The inherent characteristics of elastic materials [40,41] and unique geometric designs [42] can be used to achieve the bending of the driver. In addition, combining the flexible driver with fabrics [43][44][45], plastics [46,47], and reinforced fibers [48] can provide good conditions for finger movement. Existing flexible rehabilitation gloves can assist patients in rehabilitation training (Table S1), but there are still challenges to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Personalized and Safe Soft Glove for Rehabilitation Training

Meng,

Liu,

et al. 2023

Electronics

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Traditional hand rehabilitation devices present a challenge in providing personalized training that can lead to finger movements exceeding the safe range, resulting in secondary injuries. To address this issue, we introduce a soft rehabilitation training glove with the function of safety and personalization, which can allow patients to select training modes based on rehabilitation and provide real-time monitoring, as well as feedback on finger movement data. The inner glove is equipped with bending sensors to access the maximum/minimum angle of finger movement and to provide data for the safety of rehabilitation training. The outer glove contains flexible drivers, which can drive fingers for different modes of rehabilitation training. As a result, the rehabilitation glove can drive five fingers to achieve maximum extension/flexion angles of 15.65°/85.97°, 15.34°/89.53°, 16.78°/94.27°, 15.59°/88.82°, and 16.73°/88.65°, from thumb to little finger, respectively, and the rehabilitation training frequency can reach six times per minute. The safety evaluation result indicated an error within ±6.5° of the target-motion threshold. The reliability assessment yielded a high-intra-class correlation coefficient value (0.7763–0.9996). Hence, the rehabilitation glove can achieve targeted improvement in hand function while ensuring safety.

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Advances in Bioinspired Triboelectric Nanogenerators

Mayer

Xiao

Yin

et al. 2022

Adv Elect Materials

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Triboelectric nanogenerators (TENGs) have quickly become one of the most popular mechanisms for harvesting ambient mechanical energy due to their simple design, facile construction, abundance of material choices, and cost‐effectiveness. Over the past decade, TENG research has been heavily focused on methods of construction that improve output or function in specific applications. Recently many researchers have looked to the design of the world around them to create more advanced TENGs, investigating the unique qualities that organisms use to survive and thrive in their environments. These bioinspired TENGs are often more efficient, more environmentally friendly, or possess more capabilities than their standard TENG counterparts. Herein, this paper provides a review of recent advances in TENGs that utilize inspiration or novel materials from nature for use in biomonitoring, artificial intelligence texture detection, wind energy harvesting, blue energy harvesting and other applications. The unique qualities of these TENGs include sweat‐resistance, biodegradability, increased output parameters, and more. This review is organized into plant‐inspired, animal‐inspired, human‐inspired, and other bioinspired TENGs. Each study's source of inspiration, the problems they sought to address, and the output parameters of the device are discussed, followed by a discussion of current challenges and promising future directions for field advancement.

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P(LLA‐co‐PDO) copolymers with random and block architectures: Synthesis and characterizations

Cited by 7 publications

References 17 publications

Advances in Wearable Strain Sensors Based on Electrospun Fibers

Advances in Wearable Strain Sensors Based on Electrospun Fibers

Personalized and Safe Soft Glove for Rehabilitation Training

Advances in Bioinspired Triboelectric Nanogenerators

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