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Monitoring and Real Time Diagnosis of Diabetes

Author

Listed:
  • JS R ao

    (Department of Bioinformatics, The Vibration Institute of India, India)

Abstract

Human diagnostics and machine diagnostics follow the same principles. Machinery diagnostics has progressed considerably to real time expert systems based on the continuous monitoring to protect machinery, yet human diagnostics remains in the hands of specialist doctors. In fact machinery diagnostics has moved to the reality of Prognostics with a possible prediction of life within few seconds providing a margin to save the machine. A parallel between the two systems is drawn first and the possibility of real time diagnostics for humans remotely is suggested based on machinery diagnostics advances.

Suggested Citation

  • JS R ao, 2017. "Monitoring and Real Time Diagnosis of Diabetes," Current Trends in Biomedical Engineering & Biosciences, Juniper Publishers Inc., vol. 4(3), pages 36-43, May.
    • Handle: RePEc:adp:jctbeb:v:4:y:2017:i:3:p:36-43
    DOI: 10.19080/CTBEB.2017.04.555639
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