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Data Analysis and Interpretation in IoT-Based Systems for Critical Medical Services and Healthcare Applications

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Abstract

The use of Internet of things in health care is a major breakthrough as it can help us save a lot of lives that can be prevented because of prolonged commute distance to the hospital. We have improvised on pre-existing models to create this model. We were successfully able to achieve results on a small scale by transmitting relays of data over a Wi-Fi network. Our model will help reduce the travel time, as well as send data to prior to the hospitals so they can take necessary precautions to attend to the patient. We have come up with a two-step process to achieve. (1) Create a green corridor for an ambulance. (2) Send the patient details (blood group, the reason for emergency, pulse rate, etc.) to the respective hospital.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

    Aanshi Rustagi, Mansi Shukla, FCD Samuel, S. Ananda Kumar & L. Ramanathan

  2. Microelectronic Technologies and Devices-Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Amit Banerjee

  3. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

    Sangeetha Ramaswamy

Authors
  1. Aanshi Rustagi
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  2. Mansi Shukla
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  3. FCD Samuel
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  4. S. Ananda Kumar
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  5. Amit Banerjee
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  6. Sangeetha Ramaswamy
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  7. L. Ramanathan
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Correspondence to S. Ananda Kumar.

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Rustagi, A., Shukla, M., Samuel, F. et al. Data Analysis and Interpretation in IoT-Based Systems for Critical Medical Services and Healthcare Applications. Wireless Pers Commun 118, 933–948 (2021). https://doi.org/10.1007/s11277-020-08052-0

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  • DOI: https://doi.org/10.1007/s11277-020-08052-0

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