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Integrated Wound Recognition in Bandages for Intelligent Treatment
Advanced Healthcare Materials ( IF 10.0 ) Pub Date : 2020-10-05 , DOI: 10.1002/adhm.202000941
Xuecheng He 1 , Shijie Yang 1 , Conghui Liu 2 , Tailin Xu 1 , Xueji Zhang 1, 2
Affiliation  

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.

中文翻译:

用于智能治疗的绷带中的综合伤口识别

不规则伤口和固定敷料之间的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准确或不完整。互联网,物联网和材料科学的不断发展对精确伤口治疗提出了更高的要求。在此,通过提取特定的不规则伤口的数字几何信息来展示综合伤口识别策略。这种在线伤口图像扫描和识别与离线智能材料制造集成在一起,可以大大减少不完全的伤口闭合或对伤口部位周围正常组织的潜在刺激。作为概念证明,绷带上的Ag改性明胶活性基质在实际应用中显示出令人鼓舞的抗菌性能。体内小鼠实验表明,伤口定制带能够精确地贴合在不规则伤口床上,从而加快伤口愈合效率。绷带中的此类伤口识别涉及多学科技术,包括图像识别,计算机建模纳米材料的制造和修饰,为各种临床应用提供了个性化伤口保健的广泛潜力。
更新日期:2020-11-18
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