{"title":"3D printing of wearable sensors with strong stretchability for myoelectric rehabilitation.","authors":"Jianan Zhan, Yueying Kong, Xi Zhou, Haihuan Gong, Qiwei Chen, Xianlin Zhang, Jiankai Zhang, Yilin Wang, Wenhua Huang","doi":"10.1039/d4bm01434k","DOIUrl":null,"url":null,"abstract":"<p><p>Myoelectric biofeedback (EMG-BF) is a widely recognized and effective method for treating movement disorders caused by impaired nerve function. However, existing EMG-feedback devices are almost entirely located in large medical centers, which greatly limits patient accessibility. To address this critical limitation, there is an urgent need to develop a portable, cost-effective, and real-time monitoring device that can transcend the existing barriers to the treatment of EMG-BF. Our proposed solution leverages polyvinyl alcohol (PVA) and polyvinylpyrrolidone (PVP) as core materials, ingeniously incorporating wood pulp nano celluloses (CNF-P)-Na<sup>+</sup> to enhance the structural integrity. Additionally, the inclusion of nano-silica particles further augments the sensor's capabilities, enabling the creation of a stress-sensitive mineral ionization hydrogel sensor. This innovative approach not only capitalizes on the superior rheological properties of the materials but also, through advanced 3D printing technology, facilitates the production of a micro-scale structural hydrogel sensor with unparalleled sensitivity, stability, and durability. The potential of this sensor in the realm of human motion detection is nothing short of extraordinary. This development can potentially improve the treatment landscape for EMG-BF offering patients more convenient and efficient therapeutic options.</p>","PeriodicalId":65,"journal":{"name":"Biomaterials Science","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomaterials Science","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1039/d4bm01434k","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Myoelectric biofeedback (EMG-BF) is a widely recognized and effective method for treating movement disorders caused by impaired nerve function. However, existing EMG-feedback devices are almost entirely located in large medical centers, which greatly limits patient accessibility. To address this critical limitation, there is an urgent need to develop a portable, cost-effective, and real-time monitoring device that can transcend the existing barriers to the treatment of EMG-BF. Our proposed solution leverages polyvinyl alcohol (PVA) and polyvinylpyrrolidone (PVP) as core materials, ingeniously incorporating wood pulp nano celluloses (CNF-P)-Na+ to enhance the structural integrity. Additionally, the inclusion of nano-silica particles further augments the sensor's capabilities, enabling the creation of a stress-sensitive mineral ionization hydrogel sensor. This innovative approach not only capitalizes on the superior rheological properties of the materials but also, through advanced 3D printing technology, facilitates the production of a micro-scale structural hydrogel sensor with unparalleled sensitivity, stability, and durability. The potential of this sensor in the realm of human motion detection is nothing short of extraordinary. This development can potentially improve the treatment landscape for EMG-BF offering patients more convenient and efficient therapeutic options.
期刊介绍:
Biomaterials Science is an international high impact journal exploring the science of biomaterials and their translation towards clinical use. Its scope encompasses new concepts in biomaterials design, studies into the interaction of biomaterials with the body, and the use of materials to answer fundamental biological questions.