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.
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).
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)
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)
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
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.