{"title":"A digital twin enabled wearable device for customized healthcare","authors":"Zhengxu Zhu, Ray Y Zhong","doi":"10.12688/digitaltwin.17717.1","DOIUrl":null,"url":null,"abstract":"Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Twin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/digitaltwin.17717.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.
期刊介绍:
Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.
The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches.
The scope of Digital Twin includes, but is not limited to, the following areas:
● Digital twin concepts, architecture, and frameworks
● Digital twin theory and method
● Digital twin key technologies and tools
● Digital twin applications and case studies
● Digital twin implementation
● Digital twin services
● Digital twin security
● Digital twin standards
Digital twin also focuses on applications within and across broad sectors including:
● Smart manufacturing
● Aviation and aerospace
● Smart cities and construction
● Healthcare and medicine
● Robotics
● Shipping, vehicles and railways
● Industrial engineering and engineering management
● Agriculture
● Mining
● Power, energy and environment
Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.