功能材料和人工智能支持的帕金森病软机器人。

IF 7.7 Q1 ENGINEERING, BIOMEDICAL
BME frontiers Pub Date : 2025-07-02 eCollection Date: 2025-01-01 DOI:10.34133/bmef.0143
Hirak Mazumdar, Kamil Reza Khondakar, Suparna Das, Ajeet Kaushik
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引用次数: 0

摘要

进行性神经退行性疾病被称为帕金森病(PD),其特征是运动和非运动症状,严重降低生活质量。软机器人技术的最新发展提供了可定制的、舒适的、侵入性较小的辅助设备,为这些问题提供了有希望的答案。为了开发一种增强的PD患者支持系统,本文探讨了下一代软机器人技术的潜力,特别是水凝胶材料,与人工智能(AI)和增强现实(AR)相结合,为PD管理提供创新的解决方案。人工智能副驾驶的集成允许远程监控和实时调整,确保最佳性能和个性化护理。AR的使用增强了人机交互,为患者和医疗保健提供者提供了直观和身临其境的体验。通过利用这些先进技术,我们的方法旨在显著改善PD患者的运动功能,减轻症状,提高整体生活质量。本文概述了这种新方法的关键组成部分、益处和潜在影响,强调了将可穿戴机器人、人工智能和增强现实结合起来治疗帕金森病的变革潜力。这种多学科方法强调了通过结合软机器人、功能材料、物联网(IoT)和机器学习(ML)来创建新型医疗保健解决方案的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.

Progressive neurodegenerative disease known as Parkinson's disease (PD) is characterized by both motor and nonmotor symptoms that severely reduce the quality of life. Recent developments in soft robotics provide customizable, cozy, and less intrusive assistive devices, which provide promising answers to these problems. To develop an enhanced support system for people with PD, this article explores the potential of next-generation soft robotics, specifically hydrogel materials, integrated with artificial intelligence (AI) and augmented reality (AR) to provide an innovative solution for PD management. The integration of an AI copilot allows for remote monitoring and real-time adjustments, ensuring optimal performance and personalized care. The use of AR enhances human-computer interactions, offering an intuitive and immersive experience for both patients and healthcare providers. By leveraging these advanced technologies, our approach aims to substantially improve motor function, reduce symptoms, and enhance the overall quality of life for PD patients. This review outlines the key components, benefits, and potential impact of this novel approach, highlighting the transformative potential of combining wearable robotics, AI, and AR in the treatment of PD. The potential for creating novel healthcare solutions by combining soft robotics, functional materials, the Internet-of-Things (IoT), and machine learning (ML) is highlighted by this multidisciplinary approach.

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来源期刊
CiteScore
7.10
自引率
0.00%
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审稿时长
16 weeks
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