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集成伤口识别的绷带用于智能治疗。

Integrated Wound Recognition in Bandages for Intelligent Treatment.

机构信息

Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing, 100083, P. R. China.

Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.

出版信息

Adv Healthc Mater. 2020 Nov;9(22):e2000941. doi: 10.1002/adhm.202000941. Epub 2020 Oct 5.

Abstract

The mismatch between irregular wounds and fixed dressings is an important but long-neglected problem in wound management, which may cause imprecise or incomplete care outcomes. Continuous advances in the internet, Internet of Things, and materials science put forward higher requirements in precise wound treatment. Herein, an integrated wound recognition strategy is demonstrated by extracting digital geometric information of specific irregular wounds. Such online wound image scanning and recognition integrated with offline intelligent material fabrication can greatly reduce incomplete wound closure or potential irritation toward normal tissue around the wound site. As a proof-of-concept, an active matrix of Ag-modified gelatin on bandages demonstrates promising antibacterial properties for practical application. In vivo mouse experiment reveals that wound-customized bands enable precisely fitting in the irregular wound bed, resulting in accelerating wound healing efficiency. Such wound recognitions in a bandage involve multidisciplinary technology including image identification, computer modeling nanomaterial fabrication and modification, presenting a broad potential of personalized wound healthcare for a wide variety of clinical applications.

摘要

不规则伤口与固定敷料之间不匹配是伤口管理中一个重要但长期被忽视的问题,可能导致护理结果不精确或不完整。互联网、物联网和材料科学的持续进步对精确伤口治疗提出了更高的要求。在此,通过提取特定不规则伤口的数字几何信息,展示了一种综合的伤口识别策略。这种在线伤口图像扫描和识别与离线智能材料制造相结合,可以大大减少不完全的伤口闭合或对伤口周围正常组织的潜在刺激。作为概念验证,绷带中的 Ag 修饰明胶的有源矩阵展示了实际应用中具有前景的抗菌性能。体内小鼠实验表明,伤口定制的绷带能够精确贴合不规则的伤口床,从而加速伤口愈合效率。这种绷带中的伤口识别涉及包括图像识别、计算机建模、纳米材料制造和修饰在内的多学科技术,为各种临床应用提供了广泛的个性化伤口医疗保健的潜力。

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