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Team VOD
Vaso-Occlusion Detection
        Matthew Plaisance
        Madison McLeod
         Francois Decuir
         Uttam Dhodary
Deliverable

• Week 6 deliverable
  • Become familiar with sickle cell disease before the
    immersion at St. Francis
  • Conduct research on sickle cell disease
Research

Treatment
  •   Fluid therapy
  •   Oxygen Therapy
  •   Blood transfusions
  •   Hydroxyurea
Research

How it occurs
  • Obstruction of a vessel by sickled erythrocytes.
  • Damaged endothelial walls of blood vessels
  • Leukocytes and platelets reducing the availability
    of chemicals that dilate the vessel
Research

Frequency of occurrence
  •   Varies from patient to patient
  •   Anywhere from once a year to once a month
Research

Current methods of detection
  • X-Rays
  • MRI
  • CT
Research

Size of area affected
   The size of the area that can be affected by
   vaso-occlusion is unknown
Research

• Time it takes to clear Varies from patient to
  patient
• Can last from hours or days to weeks
• Sustain episodes of vaso-occlusion can cause
  • Multiple Organ Failure
  • Bone Pain
  • Splenic Crisis
Research

Physiological implication of occurrence
• Pain
• Swollen hands and feet
• Swollen spleen
• Stroke
• Pulmonary Hypertension
• Abnormal Chest X-Ray
• Low O2 levels
• Infections
Deliverable

• Decide on a configuration for the arm band
  using a decision matrix
Decision Matrix Armband
      Configuration
Deliverable

• Construct a decision matrix to determine
  which type of LEDs and photodiodes to buy
Decision Matrix 780 nm
Decision Matrix 780 nm

• Results
Decision Matrix 940 nm
Decision Matrix 940 nm
Decision Matrix 660 nm
Decision Matrix 660 nm
Decision Matrix Photodiode
Decision Matrix Photodiode
Construct an Armband




IR LED   LED
               Photodiode
Construct an Armband

• Black nylon cloth
• Adjustable for
  varying arm size
• 3 Emitters
• 1 Detector
Pulse Oximeter Circuit

• Parts
  •   Multivibrator(CD4047BE)
  •   Binary counter (MM74HC393N)
  •   3-to-8 bit decoder (74F138PC)
  •    Operational Amplifiers (LM324N and LM741CN)
  •   Sample and Hold Chips (LF398N)
  •   Data Acquisition (DAQ) (NI USB-6009)
  •   Voltage Regulator (KMT15-51515)
  •   LEDs (660 nm, 805 nm, 940 nm)
  •   Photodiode (S6931-01)
Pulse Oximeter Circuit
Multivibrator
Binary
Counter
Decoder
Inverter
Quadruple
Op-amp
Sample
and
Hold
Operational
amplifier
Voltage
Regulator
LabView
LabView

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Deliverable week 6 final

Editor's Notes

  1. Here we see a table showing the specifications used to determine which 780 nm wavelength LED to buy.
  2. When placed in the decision matrix, the Justar LED was the best choice for the 780 nm wavelength.
  3. In this slide we see the specification used for the 940 nm LEDs.
  4. When placed into the decision matrix, the TaoYuan LED was the best choice at 940 nm.
  5. Here we see the specifications for the 660 nm LEDs
  6. When placed in the decision matrix, the Vanktronics 660 nm LED was our choice for this specific wavelength
  7. For photodiodes, the decision matrix was based on Noise-Equivalent Power, size, Peak wavelength, and cost.
  8. Of the photodiodes chosen, the S7509 was selected.
  9. The armband prototype was a very simple model. 3 pairs of LEDs and IR LEDs were place in one section of the arm band. The photodiode was place on the opposite section of the armband.
  10. The materials need to construct the armband included, black nylon cloth, velcro to account for varying arm size, 3 Emitters, and 1 Detector.