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A new healthcare diagnosis system using an IoT-based fuzzy classifier with FPGA

  • Sambit SatpathyEmail author
  • Prakash Mohan
  • Sanchali Das
  • Swapan Debbarma
Article
  • 21 Downloads

Abstract

In this study, an Internet of Things (IoT)-based analysis system is proposed, which can be used to design a consumer electronic device. This IoT-based analysis system will alert the user when any of the parameters related to his/her health is above or below the normal range. The data collected using this system are uploaded to the cloud using a mobile application and then transferred to the field-programmable gate array (FPGA) analysis system. The raw data are computed and processed by the FPGA system, and pathological conditions are displayed on the patient’s wearable IoT device. The novelty of this work lies in the development of a fuzzy classifier, which indicates the pathological conditions of diseases with a higher accuracy. The FPGA implementation of the fuzzy classifier results in a lower execution time in comparison with that of previous models, such as K-nearest neighbour, decision tree, support vector machine, and naive Bayes.

Keywords

IoT Healthcare system Disease prediction classification FPGA 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Sambit Satpathy
    • 1
    Email author
  • Prakash Mohan
    • 2
  • Sanchali Das
    • 1
    • 2
  • Swapan Debbarma
    • 1
  1. 1.CSENIT AgartalaJirania, AgartalaIndia
  2. 2.Data Science and Analytics CenterKarpagam College of EngineeringCoimbatoreIndia

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