The document describes a wireless sensor system for remote patient monitoring. The system uses various medical and environmental sensors connected to Arduino boards with XBee modules to collect data like heart rate, temperature, and battery level. The sensors transmit data via ZigBee to a Raspberry Pi server storing the information in a MySQL database. Healthcare professionals can access the remote data through a Java GUI. The system aims to safely and cost-effectively monitor patients, providing real-time alerts and flexible remote access to patient data.

1. Wireless Sensors in
Healthcare
Dmitrijus Ponomarenko
Team:
David Breen
Brian Ahern

2. Background
The Sunday Independent reported - “It's costing taxpayers €4m a week, to
keep elderly people languishing in hospital beds waiting for funding for a 'Fair
Deal' nursing home bed” (November, 2014).

3. Objective
Project objective:
Remotely, safely and economically monitor patients using evolving
technologies.

4. Goals
• Real-time remote monitoring
• Central Database
• Remote access
• Accuracy
• Real-time alerting
• Flexibility, mobility
• Affordability
System Concept

5. System Design
System provides a wireless, automated solution, for the homecare and medical sector.
System use:
 Different sensors (Medical and
Environmental)
 XBee wireless modules (ZigBee)
 Arduino UNO (Microcontroller board)
 Ethernet shield (Internet connection)
 XBee shield (ZigBee communication)
 Laptop PC (Display unit)
 Raspberry PI (Data Server)
 Java JDBC application (Remote login)

6. Implementation
Sensors node design and configuration

7. Implementation
Arduino board design and configuration
• Arduino UNO
• Ethernet shield
• Xbee shield
• Xbee S2 module

8. Implementation
Arduino sketch
• Read the data packets (Serial)
• Calculate Heart beats rate (BPM)
• Calculate temperature (Celsius)
• Calculate battery level (Voltage)
• Send data to the Processing (Serial)
• Send data to the WEB Server (HTTP post)

9. Implementation
Displaying data using Processing

10. Implementation
WEB server, PHP processor and MySQL database configuration

11. Implementation
Healthcare professionals GUI (Java JDBC)

12. Physical SystemView
ZigBee®/IEEE802.15.4 Serial/UART
HTTP/TCP/IP
JDBC
SMTP
Sensor node
Arduino UNO
Processing
Java application
Apache Web server, PHP processor, MySQL
email
Raspberry PI

13. Challenges Encountered
Power consumption
Sample rate
Data protection

14. Power Consumption
Battery Type Capacity (mAh)
D 13000
C 6000
AA 2400
AAA 1000
N 650
9 Volt 500
6 Volt Lantern 11000
Battery life depends of:
• Capacity
• Types of connection
o Serial
o Parallel
• Current load
Battery Life = Battery Capacity (mAh) / Load Current (mAh) * 0.70

15. Sample Rate (ZigBee)
Xbee modules sample rate table (XBee-Datasheet/sparkfun.com)
Xbee module sample rate getting through the test

16. Data Protection
ZigBee
Encryption key not enabled
Web server
HTTP post
MySQL and PHP admin
User name and Password

17. Conclusions
• Successfully designed a system to conduct real-time monitoring
• Providing accurate and timely data to a central database
• Providing real-time alert mechanism
• Successfully provided remote access to the database for secure third party
observation

18. Conclusions
We believe that this system design will greatly enhance quality of life, health,
and security for those in assisted-living communities.

19. ThankYou for yourTime
Questions & Answers