增强神经肌肉传导:通过内在混合纳米发电机集成确认分析系统连接身体和认知实践

IF 23.2 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Asokan Poorani Sathya Prasanna, Monunith Anithkumar, Nagamalleswara Rao Alluri, Sang-Jae Kim
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引用次数: 0

摘要

计算机辅助智能神经疗法(CASNuT)是一项新兴技术,用于精神康复、神经康复和精神分裂症的治疗,以改善治疗和临床决策。所制备的 CASNuT 结合了心理练习(认知控制)和身体练习(弯曲手指)。它是利用多功能压电三元混合(PDMS/BCST)复合膜为基础的本征混合纳米发电机网络(作为智能手套的机械电传感器)和计算与接口电路/显示设备构建而成的。压电和三电荷的成功集成增强了本征混合纳米发电机的输出(426 V、1.72 mA/m2 和 368.66 µW/m2 ,100 MΩ)和传感性能。接着,它展示了康复治疗(通过 CASNuT)和使用机电智能医疗手套的智能医疗辅助。计算机辅助或辅助治疗计算可提供更好的帮助和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmented neuromuscular transmission: bridging physical and cognitive practices through intrinsic hybrid nanogenerator-integrated confirmation analysis system

Computer-assisted smart neurotherapy (CASNuT) is an emerging technology used for psychiatric rehabilitation, neurological rehabilitation, and schizophrenia to improve treatment and clinical decision-making. Combined mental practice (cognitive control) and physical practice (bending fingers) were incorporated into the prepared CASNuT. It is constructed using the network of multifunctional piezo-tribo hybrid (PDMS/BCST) composite film-based intrinsic hybrid nanogenerators (which acts as a mechano-electric sensor for the smart gloves) and computation with the interfacing circuit/display devices. Successful integration of piezoelectric and triboelectric charges enhanced the intrinsic hybrid nanogenerator output (426 V, 1.72 mA/m2, and 368.66 µW/m2 at 100 MΩ) and sensing properties. Next, it demonstrated rehabilitation treatment (via CASNuT) and smart medical assistance using a mechano-electric smart medical glove. Computer-aided or assisted therapy computes for better assistance and treatment.

Graphical abstract

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来源期刊
CiteScore
26.00
自引率
21.40%
发文量
185
期刊介绍: Advanced Composites and Hybrid Materials is a leading international journal that promotes interdisciplinary collaboration among materials scientists, engineers, chemists, biologists, and physicists working on composites, including nanocomposites. Our aim is to facilitate rapid scientific communication in this field. The journal publishes high-quality research on various aspects of composite materials, including materials design, surface and interface science/engineering, manufacturing, structure control, property design, device fabrication, and other applications. We also welcome simulation and modeling studies that are relevant to composites. Additionally, papers focusing on the relationship between fillers and the matrix are of particular interest. Our scope includes polymer, metal, and ceramic matrices, with a special emphasis on reviews and meta-analyses related to materials selection. We cover a wide range of topics, including transport properties, strategies for controlling interfaces and composition distribution, bottom-up assembly of nanocomposites, highly porous and high-density composites, electronic structure design, materials synergisms, and thermoelectric materials. Advanced Composites and Hybrid Materials follows a rigorous single-blind peer-review process to ensure the quality and integrity of the published work.
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