Smart Home Healthcare System Based on Middleware and Counter Neural Network
In recent years, with the upsurge of the smart city construction, smart communities and smart medical services have also witnessed rapid development. The development of smart home has achieved remarkable results. The new term of smart home medical treatment is also accompanied by intelligent
home into people’s lives. Smart home health is to improve the smart home to bring new experiences of the public life, combined with the wisdom of the medical under another kind of human considerations. The emergence of smart medical treatment is accompanied by smart home and in an attempt
to solve the current imbalance in the relationship between doctors and also patients in China, especially the common medical sanitation in hospitals with high sanction, and the heavy workload of hospitals and the contradiction between doctor-patient relationships. Under this general background,
this paper proposes smart home healthcare system based on the middleware and counter neural network model. The simulation proves the efficiency.
Keywords: Fully Intelligence; Home Systems; Medical Imaging; Middleware; Neural Networks; Smart Healthcare
Document Type: Research Article
Affiliations: 1: College of Mechanical Science and Engineering, Jilin University, Changchun, 130025, P. R. China 2: School of Mechanical Engineering, Tianjin University of Technology, No. 391, Binshuixidao, Xiqing District, Tianjin, 300384, China 3: The First Hospital of Jilin University, Changchun, Jilin Province, 130000, China
Publication date: 01 May 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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