Development Heart Rate Monitoring System Using Zigbee

Rozaina, Kasim (2013) Development Heart Rate Monitoring System Using Zigbee. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, have a few systems that provide a continuous health monitoring service for people or patient. Where, the device is a large and cannot suitable bring at anywhere. A portable wireless technology heart rate monitor is a personal monitoring device which allows a subject to measure heart rate value in real or record heart rate for analysis at any time and any place. Advancement in wireless technology nowadays has allowed the creation of various remote control systems, one of which is the famous Heart Rate monitor concept. This project is to implement an Electrocardiogram (ECG) and Digital Heart Rate counter using ZigBee (Xbee) wireless protocol and portable unit. The main challenges include amplifying the desired weak signal in the presence of noise from other muscles and electrical sources. The device is most useful if it is portable and it can be monitored from distant location. This requires a battery to be able to power all of the necessary components as well as the power output of the battery to be regulated. Implementation of the heart monitor involves low cost amplifier and filter components coupled with a microcontroller unit and LCD screen to display the output. Results were successful for the amplifier filter stage of the implementation with an ECG successfully detected and recorded but the calculation and display of the actual rate. Generally, the project software application together with its Graphical User Interface (GUI) was developed using Microsoft Visual Studio in VB language for the computer platform. The microcontroller, PIC16F877A located on the main circuit board was programmed in C language using MPLAB IDE software and debugged together with the circuit design using Proteus 7 ISIS. The final prototype of the system was built to demonstrate the proposed functionality of the system. The limitation of this project only detects the value of normal and abnormal condition. It cannot detect the diseases and what the category of diseases.

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