Health Care Monitoring using IoT with Pulse Oximeter

Description

Objective:

This paper proposes a wearable sensor node that enables the implementation of an autonomous biomedical monitoring system. 


Health Care Monitoring using IoT with Pulse Oximeter

Abstract:

Internet of Things (IoT) is a new technological paradigm that can connect things from various fields through the Internet. For the IoT-connected healthcare applications, the wireless body area network (WBAN) is gaining popularity as wearable devices spring into the market. This paper proposes a wearable sensor node that enables the implementation of an autonomous biomedical monitoring system. Multiple sensor nodes can be deployed on different positions of the body to measure the subject’s body temperature distribution, heartbeat, SPO2 levels and detect falls. 


Health Care Monitoring using IoT with Pulse Oximeter

Introduction:

ECG is a vital diagnosis device to detect heart disease abnormalities. Cardiovascular disease affects the cardiovascular system, specifically the blood vessels and the heart. Strokes and heart attacks are the most common cardiovascular diseases in the general public that require continuous monitoring. ECG is the most broadly used cardiovascular disease monitoring technique that measures the electrical activities of the heart. An ECG system is a non-invasive monitor for evaluating the heart’s electrical activity, measuring the regularity/rate of heartbeats, and identifying any damage to the heart. The ECG includes the placement of electrodes on the human body surface at convenient places. Such electrodes are linked to the ECG monitoring device via cables to detect and amplify the electrical impulses of the heart, where heart conditions change the ECG characteristic.


Existing System

  • The presented service integration approach using a simple message broker enabled a rapid system implementation and proved suitable for creating an integrated telemedicine system. 
  • The use of concepts like Enterprise Integration Bus might be a viable option to address this issue and is left for future work.

DISADVANTAGE

  • Only message broker was implemented 
  • The accuracy of output is less

Proposed System

  • Wireless devices have invaded the medical area with a wide range of capabilities. 
  • Monitor the patient details in periodic intervals is on overhead using existing technologies. 
  • To overcome this we have changed recent wireless sensor technologies. 
  • Added advanced sensors like pulse oximeter for measuring blood SPO2 level    

ADVANTAGE

  • A wide range of communication is available
  • Easy connectivity between modules
  • Easy to implement in real-time

Health Care Monitoring using IoT with Pulse Oximeter

Block Diagram:

Health Care Monitoring using IoT with Pulse Oximeter 1

 

Health Care Monitoring using IoT with Pulse Oximeter 2
Health Care Monitoring using IoT with Pulse Oximeter

Hardware Modules:

  • NODE-MCU
  • Temperature sensor
  • A pulse oximeter (SPO2)
  • Meme sensor
  • GPS module
  • Lora module

Software Modules:

  • Arduino-IDE
  • Embedded-‘C’

Applications

  • E-doctor 
  • Remote patient monitoring 
  • Disease prediction system

Health Care Monitoring using IoT with Pulse Oximeter

Reference:

  • M. Hong, Z. Yajun and H. Xiaoping, “Portable ECG measurement device based on MSP430 MCU,” in Proc. BMEI, 2008, pp. 667–671.
  • N. Ebrahim, M. J. Deen, and T. Mondal, “A wireless wearable ECG sensor for long-term applications,” IEEE Commun. Mag., vol. 50, no. 1, pp. 36–43, Jan. 2012.
  • J. M. Cano-Garcia, E. Gonzalez-Parada, V. Alarcon-Collantes and E. Casilari-Perez, “A PDA-based portable wireless ECG monitor for medical personal area networks,” in Proc. MELECON, 2006, pp. 713–716.
  • T. K. L. Hui, R. S. Sherratt, and D. Diaz Sanchez, “Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies,” Future Generation Computer Systems, vol. 76, pp. 358– 369, Nov. 2017.

 

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