internet of things
  • Home
  • Abstract
  • Overview
    • Introduction
    • Continuous Glucose Monitoring System
    • Continuous Intravenous (IV) Fluid Infusion System
    • Patient Control Systems
    • Medical Personnel Control System
  • State of the Art
    • Introduction
    • Insulin Syringes/Needles
    • Insulin Pumps
    • IV Based: Yale Insulin Infusion Protocol
    • IV Based Insulin: Glucommander Algorithm
    • Continuous Glucose Monitoring (CGM) Technology: Glucoset™
    • How Our Product is Different
  • Detailed Description
    • Introduction
    • Continuous IV Health Monitoring System
    • Continuous IV Fluid Infusion System
    • Exchanges Between the Patient Control System and the Medical Personnel Control System
  • Results
    • Our simulation
    • Challenges and our approach
  • Future Work
  • Conclusion
  • Appendix
  • Contact us

overview

Introduction

For our project have conceptualized a sophisticated medical device, which we call the Glucosystem IV, in order to 

(1) effectively manage patient blood glucose levels through 

        a. continuous glucose monitoring (CGM) and 

        b. continuous intravenous IV fluid infusion involving correct dosage calculations, and

(2) improve medical care and enhance the experience of patients by lessening the time spent by medical personnel on routine tasks, such as monitoring patient glucose levels, changing and administering intravenous insulin doses, through Internet of Things connectivity,

Our prior art research shows that this kind of device or any related embodiments still do not exist in the market (See ‘State of the Art’). We will show how the Glucosystem IV functions through simulating the device using the Raspberry Pi, Parse Cloud, and Handheld Device simulators available on Macintosh. Because we cannot use actual patients or intravenous devices (which cost thousands of dollars), we will hardwire blood glucose data over a typical two hour digestion cycle as well as typical basal glucose (fasting glucose), and basal insulin levels into the raspberry pi.

Unlike existing intravenous insulin delivery systems and protocols, the Glucosystem IV allows the drug to be administered or concentrations to change continuously and gradually. Continuous as opposed to a discrete interval drug delivery provides for a more effective medical treatment. Finally, connectivity via the Internet of Things allows doctors, medical personnel, and close family members to distantly keep track of the patient’s health. This holds medical personnel more accountable and minimizes the risk of medical malpractice.

Glucosystem IV consists of four features: 

      Continuous Glucose Monitoring System

      Continuous Intravenous (IV) Fluid Infusion System

      Patient Control Systems

      Medical Personnel Control System

For both the patient and medical personnel control systems, information must be relayed to Parse Cloud before it is used to update the computation taking place in the Raspberry Pi.

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  • Home
  • Abstract
  • Overview
    • Introduction
    • Continuous Glucose Monitoring System
    • Continuous Intravenous (IV) Fluid Infusion System
    • Patient Control Systems
    • Medical Personnel Control System
  • State of the Art
    • Introduction
    • Insulin Syringes/Needles
    • Insulin Pumps
    • IV Based: Yale Insulin Infusion Protocol
    • IV Based Insulin: Glucommander Algorithm
    • Continuous Glucose Monitoring (CGM) Technology: Glucoset™
    • How Our Product is Different
  • Detailed Description
    • Introduction
    • Continuous IV Health Monitoring System
    • Continuous IV Fluid Infusion System
    • Exchanges Between the Patient Control System and the Medical Personnel Control System
  • Results
    • Our simulation
    • Challenges and our approach
  • Future Work
  • Conclusion
  • Appendix
  • Contact us