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Toward the Internet of Medical Things: Architecture, trends and challenges.
Niu, Qinwang; Li, Haoyue; Liu, Yu; Qin, Zhibo; Zhang, Li-Bo; Chen, Junxin; Lyu, Zhihan.
Afiliação
  • Niu Q; Department of Health Services and Management, Sichuan Engineering Technical College, Deyang 618000, China.
  • Li H; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110004, China.
  • Liu Y; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110004, China.
  • Qin Z; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110004, China.
  • Zhang LB; Department of Radiology, General Hospital of the Northern Theater of the Chinese People's Liberation Army, Shenyang 110004, China.
  • Chen J; School of Software, Dalian University of Technology, Dalian 116621, China.
  • Lyu Z; Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden.
Math Biosci Eng ; 21(1): 650-678, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38303438
ABSTRACT
In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and quick hospital treatments, which make it easier for the Internet of Medical Things (IoMT) to evolve. The study first presents an overview of the IoMT before introducing the IoMT architecture. Later, it portrays an overview of the core technologies of the IoMT, including cloud computing, big data and artificial intelligence, and it elucidates their utilization within the healthcare system. Further, several emerging challenges, such as cost-effectiveness, security, privacy, accuracy and power consumption, are discussed, and potential solutions for these challenges are also suggested.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Internet das Coisas Idioma: En Revista: Math Biosci Eng Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Internet das Coisas Idioma: En Revista: Math Biosci Eng Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
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