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Research Article | Open Access |

A Novel Internet of Things-enabled Approach to Monitor Patients’ Health Statistics

Author 1: Xi GOU
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 7 · Published 2023

DOI: https://doi.org/10.14569/IJACSA.2023.0140708

Abstract

Leveraging Internet of Things (IoT) technology in healthcare systems improves patient care, reduces costs, and increases efficiency. Enabled by IoT, telemedicine allows remote patient monitoring, vital sign tracking, and seamless data accessibility for doctors across multiple locations. This article presents a novel IoT-enabled approach that utilizes artificial neural networks with radial basis functions to detect patients' positions. This real-time tracking mechanism operates even without cellular connectivity, providing timely diagnoses and treatments. Our research aims to develop a smart and cost-effective healthcare approach, revolutionizing patient care. Mathematical analysis and experiments confirm the effectiveness of our proposed method, particularly in predicting patient location for the upcoming smart healthcare solution.

Keywords

How to Cite this Article

GOU, X. (2023). A Novel Internet of Things-enabled Approach to Monitor Patients’ Health Statistics. International Journal of Advanced Computer Science and Applications, 14(7). https://doi.org/10.14569/IJACSA.2023.0140708

GOU, Xi. "A Novel Internet of Things-enabled Approach to Monitor Patients’ Health Statistics." International Journal of Advanced Computer Science and Applications, vol. 14, no. 7, 2023, https://doi.org/10.14569/IJACSA.2023.0140708.

@article{GOU2023,
  title     = {A Novel Internet of Things-enabled Approach to Monitor Patients’ Health Statistics},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {7},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Xi GOU},
  doi       = {10.14569/IJACSA.2023.0140708},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140708}
}

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