Sponsored by: Dept. of Veterans Affairs Group #5 Samuel Rodriguez Daniel Thompson Chadrick Williams Giselle Borrero

 Wireless monitoring pulse oximeter, blood oxygen concentration (SpO 2 ) and fall detection  Consists of four units ◦ Receiving Display unit (RDU) ◦ 3 Transmitting Sensor Units (TSU)  All units will be worn by the patient  Finger sensor will obtain pulse and SpO 2 and transmit  Chest and thigh sensor will determine patients posture information  Waist display will receive data, display data, and transmit emergency signals

 Ultimately to monitor patients for chronic heart and related health conditions  Remotely contact emergency services  Provide location to emergency services of patient  More affordable than existing wireless units  Ideal for a variety of users  Maximum protection at minimal to no cost

Transmitting Sensor Units (TSU)  To be worn on the finger, wrist, chest and right thigh  Battery powered  Control the pulse oximeter sensor  Make calculations to achieve pulse and oxygen concentration data  Determine the posture of the patient  Measure patient’s angular velocity and acceleration  Monitor unit’s battery life  Transmit data wirelessly to the waist unit (RDU) Receiving Display Unit (RDU)  Receive data wirelessly from TSUs  Display patient’s pulse and oxygen concentration  Contact emergency services  Monitor unit’s battery life  Audible and visual alerts for critical conditions, loss of signal and battery life, and display personal information

Hand Unit Chest Unit Waist Unit Thigh Unit

Non-invasive optical measurement of heart rate and blood oxygen saturation Hemoglobin is the red colored substance in blood and is the carrier of oxygen Red and infrared light are attenuated less by the body tissues and more by blood (600nm, 940nm) Light shines through finger and strikes a photodiode, which creates a very small current based on the amount of light incident on the photodiode This determine attenuation of light based on the output of the photodiode

 Sensor ◦ Generate alternating pulses of light at 600nm (red) and 940nm (infrared) ◦ Photodiode must detect light in the range of 600nm to 940nm ◦ Convert photodiode current to voltages values between 0V to 2.3V ◦ Accuracy of ±2% (70% - 100%) ◦ ±2 BPM for pulse  Transmit a maximum of 10 ft  MCU ◦ Two DACs 12-bits ◦ Three ADCs 12-bits ◦ 12 GPIOs

 To calculate pulse oximetry the photodiode current must be converted to a voltage  This voltage has both a DC and AC component that represents attenuation of light  DC-constant volume of blood used for auto gain control  AC – ebbing and flowing of blood used for measurements

 Control alternating pulses by pair of LED select lines (STG3155)  Common power lines  DAC controls current through system to avoid damage to LEDs

 Determine the patient’s position (sitting, standing or laying down)  Measure angular velocity and acceleration of patient  Have a range of ±6g acceleration.  Have an accuracy of angular velocity between ±300˚/s to ±500˚/s  Have a sampling rate of at least 120Hz

 Consist of: ◦ Two 3-axis gyroscopes (ITG-3200) ◦ Two 3-axis accelerometers (MMA7631L) ◦ One of each in the center of the chest and right thigh  MCU MSP430FG438 ◦ Three 12-bit ADCs ◦ 34 GPIOs  RF Transceiver CC1101

 RF transponder receives information from peripheral units  Multicontroller stores past data and makes decisions about patient status  16x2 LCD displays patient information, alerts, emergencies, or system status  Buzzer and LEDs provide visual and auditory stimulus for alerts

Part numberComponent size (mm 2 ) Number of I/O pinsExtra built-in features Cost ($) JN51488 x GHz transceiver, 12-bit ADC, 12- bitDAC, 4 wire audio interface 20 CC4309 x Sub 1GHz transceiver, 12-bit ADC, CC * MSP430F23312 X bit ADC2.50* MSP430F x 12 or 14 x14 48 or 6412-bit ADC, 12-bit DAC, DMA controller 5.85* MSP430FG43714 x bit ADC, 2x 12-bit DAC,3x Op Amps, Analog comparator, DMA, SVS, LCD driver 5.15*

 Separate unit from the MCU  Built-in display controller  May display pulse, blood oxygen content, patient’s name, or alarm information

 Green LED- Blinks if a fall is detected  Blue LED- Blinks if RDU loses signal from peripherals  Red LED- Blinks if emergency is active or user has indicated panic  Piezoelectric Buzzer- Pulses if emergency is active

 All units powered by a battery, through a DC/DC buck converter  3.3V supply to MCU, RF transceiver, and all sensor units  5V supply to LCD  Battery voltage monitored by built-in comparator in the MSP430FG43x

 3.3V output supplies MCU and sensors, directed through another buck converter to upgrade to 5V for the LCD anode

 Analog comparator internal to MCU  Output to Red-Yellow- Green LED  Voltage divider from battery, scaled with the MCU’s maximum output voltage

 Language: C  Testing: DevC++ V  Implementation: Code Composer Studio V  Wireless: SimpliciTI  Schematics: Cadsoft EAGLE V

MSP-FET430UIFEM430F6137RF900

Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer- Derived Posture Information

 The linear acceleration and rotational rate of the chest and thigh for: ◦ Standing ◦ Walking ◦ Sitting ◦ Running

CC1101 Evaluation Module 433MHz Example SimpliciTI Structure Cc1101: 4mm x 4mm

 Finish and order PCB design  Transferring code on boards  Bluetooth interfacing  Coding for the oximeter  Interfacing system clocks  Lots and lots of testing!

Original budget Current spending