Wireless Sensors in Health Care
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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.
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The market for sensors in home healthcare applications will explode from $559M in 2013 to $1.2B by 2018!
Sensors for home care will explode over the next five years
From 2000 - 2050, the proportion of the world's population aged 60 and over will grow from about 16% to 25% -- an increase linked to a marked growth of chronic diseases (Alzheimer's, diabetes, cancers, etc.). Healthcare systems’ rising costs and a physicians’ shortage are paving the way for increased home care.
Sensors previously developed for non-medical applications are transitioning to home care applications, and the market for sensors dedicated to home care applications is poised to grow from $559M in 2013 to $1.2B by 2018.
During Yole's research, the following sensors were investigated: accelerometers, barometers, electrochemical biosensors, flow sensors, gyroscopes, humidity sensors, IR temperature sensors, magnetometers, microfluidic chips, microphones, photodetectors, pressure sensors, proximity IR sensors, RF MEMS, RFID, and strain sensors. For each sensors, Yole’s Home Care Report provides market data and unit/value forecasts.
Collectively, these sensors have numerous applications in the home care market, from fall detection systems to tremor monitoring in Parkinson’s disease.
Today, the three most-used sensors are photodetectors, pressure sensors and electrochemical sensors.
A highly segmented market
Home care, also called home healthcare, refers to the at-home care provided to a person with special needs. This includes people who are ageing, chronically ill, recovering from surgery, or disabled.
Transferring a patient from a hospital to his/her home implies a relocation of care systems. In order to maintain the same level of care quality with less human involvement, home care sensors are vital replacements for specific applications ordinarily performed by nurses, such as guaranteeing the patient’s comfort, ensuring their safety, monitoring body parameters and treatments, and drug delivery.
Using a disruptive segmentation, Yole’s analysts have gathered all of the information necessary for understanding each application’s market needs.
More information on that report at http://www.i-micronews.com/reports/Sensors-Home-Healthcare-Applications-Market-Analysis/1/409/
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Project monitoring and evaluation involves collecting data on project processes, outputs, and outcomes to track progress and inform stakeholders. Monitoring is continuous and internal, while evaluation is periodic and can be internal or external. The key aspects of monitoring include tracking inputs, activities, the process, and outputs, while evaluation assesses outcomes, impacts, efficiency, effectiveness and sustainability. Both use qualitative and quantitative data and involve stakeholders. Participatory monitoring and evaluation engages local people and beneficiaries to better understand impacts and ensure the process is learning-focused and adaptive.
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Wireless Sensors in Health Care
- 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