F12: Unified Wireless Health Monitoring System

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Unified Wireless Health Monitoring System

Abstract

Our project will take in sensor data (pulse sensor + temperature sensor) through the LPC2148 submit it to an online database. The purpose of the project is to simplify health monitoring for patients while allowing them some mobility. Both the patient and their doctor will be able to see the patient's progress via a WEB GUI.

Objectives & Introduction

Objectives

  • Create a mobile device that attaches to a user in order to retrieve health data from the user.
  • Use 2 health monitoring sensors to retrieve 2 different types of data.
  • Submit the sensor data wirelessly to an online database via Xbee & HTTP protocol.
  • Give verified users and their doctors access to their health data on the online database.
  • Display the health data from the online database to a WEB GUI, using charts to monitor progress.

Team Members

  • Gurpreet Singh
  • Michelle Chen
  • Hai Do

Roles & Responsibilities

Task Responsibility

Xbee Wireless Configuration

Gurpreet

Xbee UART driver for LPC2148

Gurpreet

PulseSensor A2D driver for LPC2148

Michelle

TMP102 I2C driver for LPC2148

Michelle

UART to SQL data conversion on PC-End

Hai

Online Database Configuration

Hai

Web GUI Configuration

Hai

Schedule

Week Number Scheduled Items Actual

1

  • Create and test LPC2148 I2C driver for TMP102.
  • Create and test LPC2148 A2D driver for PulseSensor.
  • Create and test LPC2148 UART driver for Xbee.
  • I2C driver written to read in TMP102 data.
  • UART driver written to communicate with Xbee modules.
  • A2D driver written to read in voltage data from Pulse Sensor.

2

  • Configure the Xbees to talk to each other.
  • Program the Pulse sensor to properly read in data.
  • Create Tasks for the I2C and A2D drivers, and use for sensors/Xbee.
  • Xbees configured to properly communicate with each other and tested with LPC2148 UART1.
  • Heart rate being read from PulseSensor.
  • Tasks created for Pulse Sensor ADC and Xbee User Interface.

3

  • Retrieve sensors data from LPC2148 and send to Xbee.
  • Receieve wireless UART data from Xbee and log to a Computer.
  • Convert UART data into SQL data for online database.
  • LPC2148 correctly sends UART data to Xbee.
  • UART to SQL Parser written and correctly sends data to XAMPP.
  • Successfully received wireless UART data from Xbee and parse to SQL.

4

  • Initialize and setup online database.
  • Test and log in Xbee UART data into SQL online database.
  • Local database created with proper tables and users.
  • SQL data logged and tested for multiple users.

5

  • Setup Web GUI interface for creating charts.
  • Call in Google Charts or Highcharts API for creating charts.
  • Properly display online database values in Web Gui.
  • Web interface set up and tested.
  • FusionCharts used to view data for temp. and pulse.
  • Data tables are properly displayed for each user.

6

  • Ensure project is fully tested and functioning properly for final demo.
  • Web GUI interface displays patient's information.
  • Hardware properly polls sensor data and transmits data wirelessly via Zigbee Protocol.
  • Project fully tested and working with single patient login.

Parts List & Cost

Part Quantity Cost
Xbee Series 1 Module
2
$50
LPC2148 CPU + MP3 Development Board
1
$60
Plastic Enclosure + Accessories
1
$25
Xbee USB Adapter
1
$25
Pulse Sensor
1
$28
I2C Digital Temperature Sensor
1
Free!

Design & Implementation

Hardware Design

Discuss your hardware design here. Show detailed schematics, and the interface here.

Hardware Interface

In this section, you can describe how your hardware communicates, such as which BUSes used. You can discuss your driver implementation here, such that the Software Design section is isolated to talk about high level workings rather than inner working of your project.

Software Design

  • MySQL Database
The database will be used to collect and record data from both our temperature and pulse sensor. A database called "user" and a table called "patient" was created using phpMyAdmin. The patient table comprises of id, temperature, pulse, comments, and time stamp. Every time a string of data is received,it gets parsed and updated into their respective columns in the table. This table is shown below:
CmpE146 F12 UWHMS Database-Table.jpg
Figure X: Records Table in MySQL Database


In order to set up MySQL Database, XAMPP, an open source package which includes Appache HTTP Server, MySQL database, PHP, and Perl, will be used. With XAMPP installed, we are able to create a localhost PHP website that pulls data from our database.
The following settings must be set to utilize XAMPP:
CmpE146 F12 UWHMS XAMPP-Control.jpg
Figure X: XAMPP Control Panel


  • Web GUI
The Web GUI is a bridge between the clients and the server. It translates the data from the database into a form where users can visually see their real time temperature and heart beat. The Web GUI is a monitoring system for the patient to see their body temperature and heart rate. Also, the monitoring system can be accessed anywhere with an internet connection so the patient doesn't have to be hooked up to machines. Other users can also view patient data such as their prescribing doctors. The doctors are able to leave feedback to their patients and monitor their health situation without physically being in the hospital to do so.

Implementation

This section includes implementation, but again, not the details, just the high level. For example, you can list the steps it takes to communicate over a sensor, or the steps needed to write a page of memory onto SPI Flash. You can include sub-sections for each of your component implementation.

  • Web GUI
The patients are able to access the website and check up on their temperatures and heart rates. Charts are also available to the patients along with the tables. The web GUI displays the data in real time. The values from both the table and charts are pulled from the MySQL database.
CmpE146 F12 UWHMS Table.jpg
Figure X: Health Records


CmpE146 F12 UWHMS Temp-chart.jpg
Figure X: Temperature Chart


CmpE146 F12 UWHMS Pulse-chart.jpg
Figure X: Heart Rate Chart


To get the data, the comport has to be initialized to receive the incoming data from the xbee. If the comport is opened, then it is ready to receive incoming data. If it's closed, a message will display indicating that the comport it is unavailable to receive data. The data, in the form of a string, will be received and parsed using a split function and delimiters. The delimiters indicate separation between values so it can be inserted into the appropriate fields in the MySQL database. The parsed data will be displayed on the console as well as the charts on the web GUI. To be able to display the data, the charts and table are retrieving the data values from the database in real time. This is a continuous loop that will keep retrieving data until either the client or server side stops the process.
CmpE146 F12 UWHMS Software-flowchart.jpg
Figure X: Software Flowchart

Testing & Technical Challenges

Describe the challenges of your project. What advise would you give yourself or someone else if your project can be started from scratch again? Make a smooth transition to testing section and described what it took to test your project.

Technical Challenges

  • Pulse Sensor - Our first problem was that our pulse sensor wasn't able to successfully get accurate data and it was very sporadic. We had to replace the pulse sensor with a different one. Even then, the calibration was off and we had to manually change the gain of the sensor until it reached our desired range. Also, the sensor wasn't functioning properly on certain people.


  • Temperature Sensor - We tested the temperature sensor through the console and it wasn't giving the right temperature. The parsed data from the temperature sensor wasn't sending the correct approximation over to the database.


  • Parsing - In the beginning, we weren't able to parse decimal values because of our delimiters. We also didn't know what technique to use to split the data values being sent and how to update the database using the given strings.


  • MySQL - We had trouble connecting to MySQL because of incorrectly identifying the user that held ownership to the specified database.


  • Retrieving real time data using charts - The data was not retrieved correctly through the charts and table because the the web GUI was connecting to the wrong database.


If we were to restart this project from scratch, we would connect to only one database instead of many to make things simpler and easier to work around. For parsing, we might try using fewer delimiters.

Include sub-sections that list out a problem and solution, such as:

Wifi Connection Issues

Many wifi connection issues were encountered. To solve this problem, a dedicated task was created to re-connect to wifi if the connection was ever lost.

Conclusion

It was very fulfilling to work in a large scale project such as this since no one in our group had encountered such a long term project before. It has taught us a tremendous amount about ourselves and how we behave in a group over the course of the year. We have learned to work with each other as well learned a great amount of life lessons when encountering such a long-term project.
For the future, we hope to increase the scalability of the health monitoring system, as well as giving it the ability to go completely wireless on a possible 4G network, as well as different types of sensors used. Also, we would like to include a section where the doctors are able to sign in so they can view their patients online. The doctors will then be able to write comments about their patients in the comments section. The patients will then be able to read the comments left by the doctor(s) and will be able to get meaningful feedback. We would also like to create a registration form where new users/patients will be able to sign up. They are then able to monitor their health status online. The registration will work hand in hand with the log in system by updating and retrieve users' information so they can view their data via web GUI.


Project Video

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Project Source Code

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References

Acknowledgement

Thanks goes to the following persons for their contribution to the project:

  • Preetpal Kang
  • Sant Soy
  • Shweta Nehra
  • Ankita Gauri

References Used

List any references used in project.

Appendix

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