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IoT for Health Monitoring System Based on Machine Learning Algorithm

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Abstract

Internet of things (IoT) is one of the futuristic and upcoming technologies which have led to the concept of automation in many daily chores. IoT has placed its fame nearly in all possible platforms and the main idea is to enhance this technology in the current healthcare system, for the purpose of automatic monitoring of hospitals and patient’s health by spreading positive vibes to the vision of IoT. With the support of certain technologies such as Radio Frequency Identification (RFID), Brainsense headband, Wireless Sensor Network and smart mobile, by keeping the IoT as its connecting platform, a Smart E-Healthcare System is framed. A low power wireless personal area connection helps in incorporating these technologies together through a Constrained Application Protocol/IPv6. To track the state of the patient, Smart Healthcare Sensor (SHS) and RFID are used that are attached to the person’s wrist bands automatically by using electromagnetic fields. Each tag held by the person has a unique ID and it contains information that is electronically stored in a separate cloud environment. Based on the various information sensed by the SHS sensors, required prescription is given to the victim in the absence of doctors. This technology represents a significant step in the development of health care sectors. In this paper, we are proposing pro prediction algorithm for detecting the prescription for the patient.

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Authors and Affiliations

  1. Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    S. Balakrishnan

  2. Department of Information Technology, Saveetha Engineering College, Thandalam, Chennai, India

    K. Suresh Kumar

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

    L. Ramanathan

  4. Sharad Institute of Technology College of Engineering, Yadrav, Ichalkaranji, India

    S. K. Muthusundar

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  1. S. Balakrishnan
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  2. K. Suresh Kumar
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  3. L. Ramanathan
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  4. S. K. Muthusundar
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Correspondence to S. Balakrishnan.

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Balakrishnan, S., Suresh Kumar, K., Ramanathan, L. et al. IoT for Health Monitoring System Based on Machine Learning Algorithm. Wireless Pers Commun 124, 189–205 (2022). https://doi.org/10.1007/s11277-021-09335-w

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