Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards

@article{Costa2018InternetOH,
  title={Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards},
  author={Cristiano Andr{\'e} da Costa and Cristian F. Pasluosta and Bj{\"o}rn Eskofier and Denise Bandeira da Silva and Rodrigo da Rosa Righi},
  journal={Artificial intelligence in medicine},
  year={2018},
  volume={89},
  pages={
          61-69
        }
}
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115 Citations
Highly Influential Citations
3
Background Citations
39
Methods Citations
3

115 Citations

Citation Type

Citation Type

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A Cloud-Based Patient Health Monitoring System Using the Internet of Things
  • R. Murugan
  • Computer Science
    Handbook of Research on Cloud Computing and Big Data Applications in IoT
  • 2019
To conquer medical carelessness, a novel framework will be created on the grounds that daily medicinal services are essential. This framework conveys equipment, and Android application, the pulse,…
Special Issue on Medical Imaging Technologies for IoT Based Wireless Patient Monitoring.
TLDR
Internet of Things (IoT) plays a vital role in medical imaging technologies to enable fast access to information about patient health and continuous monitoring through the wireless environment to avoid complexity in data transmission.
A data fusion algorithm for clinically relevant anomaly detection in remote health monitoring
TLDR
This work proposes a system for detection and evaluation of medical emergencies, using Wireless Body Sensor Network as its network infrastructure, able to distinguish real emergencies from other cases by considering a risk estimation from each sampled data.
Research on the Smart Medical System Based on NB-IoT Technology
TLDR
An intelligent medical plan based on NBIoT technology is proposed and a smart hospital information management system is developed in view of the problems faced by the hospital.
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
TLDR
A novel framework based on computer supported diagnosis and IoT to detect and monitor heart failure infected patients, where the data are attained from various other sources and the proposed model is validated by numerical examples on real case studies.
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References

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