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RFID for Health Care Tracking and Monitoring

Jack Jean Dept. of Computer Science and Engineering Wright State University jack.jean@wright.edu. RFID for Health Care Tracking and Monitoring. Outline. FastFind Zigbee -Based Body Temperature Sensor Node Bluetooth-Based Fall Detection Sensor Node. FastFind : RFID Asset/People Tracking.

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RFID for Health Care Tracking and Monitoring

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  1. Jack Jean Dept. of Computer Science and Engineering Wright State University jack.jean@wright.edu RFID for Health CareTracking and Monitoring

  2. Outline • FastFind • Zigbee-Based Body Temperature Sensor Node • Bluetooth-Based Fall Detection Sensor Node

  3. FastFind: RFID Asset/People Tracking • for hospital/nursing home use • track, manage, and optimize the usage of assets • track personnel and patients • monitor events that need special care.

  4. RF Code M200 RFID Reader and TRENDnet Wireless Camera

  5. RF Code A750 Room Locator • Uses 36 KHz IR to transmit a 3 digit octal ID for room location • Uses a form of bi-phase encoding • Take the first 9 of 15 bits for room ID

  6. Healthcare Monitoring Devices • Hospitals/Nursing Homes/Assisted Living Communities/Home Care • Zigbee-Based Body Temperature Sensor Node with IR Capability • Bluetooth-Based Fall Detection Sensor Node with IR Capability

  7. Wireless Protocol Choice * : can be much longer with different Bluetooth class.

  8. Temperature Sensor Node

  9. Temperature Sensor: • Microchip TC77 with an SPI interface • Meets ASTM Standard for electronic thermometer • Microcontroller: • Microchip PIC24F16KA102 • sleep mode at 500 nA • 1.8 to 3.6 V

  10. Right-hand side: a failed attempt to further improve the device.

  11. Fall Detection Sensor-Phase 1 • The sensors were made as a shield mounted on top of the Arduino Uno development board. • The shield has the following components: • Bluesmirf gold Bluetooth module (class 1). • ADXL335 3-axes accelerometer. • 36KHZ Infrared Receiver.

  12. Fall Detection Sensor-Phase 2 • PCB and a new panic button • Operating Environment: • Typical input voltage 9.0 Volts. • Typical transmission range for the Bluetooth module : 200 feet.

  13. Fit the board to an enclosure that has a 9-volt battery compartment and a belt clip to easily attach the device on the waist • An ON/OFF switch, and a panic button

  14. Accelerometer data analysis • Matlab was used to interface with the fall detection device to analyze the accelerometer values in the x,y,z directions. • Future work will include human subject testing to find the thresholds values for daily life activates, to be able to have a concise algorithm that can differentiate between falls and daily life activities .

  15. Assisted Living

  16. Independent Living for the Elderly • The device communicates through Bluetooth to an Android phone in case of a fall or if the panic button is pressed. The phone can call 911 directly for medical help, or call a family member.

  17. Android Phone Interface pairing the Android app with the fall detection device. Received command “P” for panic, calling a family member or call 911 Received command “F” for fall, dial a number to request help

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