• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Network Modeling Analysis in Health Informatics and Bioinformatics >Data management and visualization of wearable medical devices assisted by artificial intelligence
【24h】

Data management and visualization of wearable medical devices assisted by artificial intelligence

机译：Data management and visualization of wearable medical devices assisted by artificial intelligence

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

With the development of information technology and artificial intelligence technology, medical wearable devices are becoming more and more intelligent. At the same time, the continuous progress of information technology and artificial intelligence technology also makes intelligent medical wearable devices more and more complex, and the data generated by corresponding medical devices are also more and more huge. To further standardize the health data management of the corresponding wearable medical device monitoring management and improve the user stickiness and intelligence of wearable devices, this paper will study the scientific management and visualization technology of wearable medical device data based on artificial intelligence technology. This paper first analyzes the structure of the data ecosystem based on wearable devices, and constructs the corresponding system on this basis. At the same time, it innovatively proposes the data mining technology combined with the time series cycle mode, and manages and analyzes the corresponding device data based on this technology. At the same time, in the actual data processing process, we pay attention to the data preprocessing technology to realize the compressed storage and management of data size. In the aspect of visualization of wearable device data management, this paper will realize data collection, sending, and receiving display based on Android platform, and realize data cloud storage. In the experimental part, this paper designs a wearable medical device data management and visualization software based on a lung function monitoring tracker. Experimental results show that the corresponding algorithm has obvious advantages.

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号