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Progress Report Spirometry Software

Progress Report Spirometry Software. Group 36 Abby Cohen Team mates: Jessie Butts, Olga Neyman Client: Dr. Klaesner. Need. 80% of developing countries lack access to spirometry equipment – World Health Organization.

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Progress Report Spirometry Software

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  1. Progress ReportSpirometry Software Group 36 Abby Cohen Team mates: Jessie Butts, Olga Neyman Client: Dr. Klaesner

  2. Need • 80% of developing countries lack access to spirometry equipment – World Health Organization • Factors like smoking and use of biomass fuels are increasing prevalence of respiratory diseases

  3. The Big Picture Results Record Data Troubleshooting Data Processing Data Analysis Server User’s Laptop Spirometer Hardware

  4. Audio Sensor

  5. MicrophoneOmnidirectional vs. Unidirectional Microphone diaphragm reaction depends of direction of sound Omnidirectional Unidirectional

  6. Audio Sensor

  7. Noise CancellationHardware Approach

  8. Noise CancellationMicrophone Location • Relationship between frequency • F1 = 2 * F2 • Analysis • Reynold’s Number • Boundary Layer Locatedin the obstacle valley Located in a side chamber

  9. Noise CancellationMicrophone Number • Differential noise cancellation • Average • Directed average • Low flow rates • Analysis • Microphone adapter • Accuracy Average/Directed Average Differential Noise Cancellation

  10. Noise CancellationPop Filter • Plosives • Max out microphone • Buffer • Analysis • Materials • Degradation Typical Use of a Pop Filter

  11. Noise CancellationHardware Approach

  12. Noise CancellationSoftware Approach

  13. Noise CancellationWindowing and Filters • Hanning Window • Moving Average Filter • Reduces effects of peaks of random noise • Low Pass Filter • Frequencies between 0-1000 Hz • Suppression Function • Iterative approach to noise cancellation

  14. Noise CancellationAveraging Multiple FFTs

  15. Noise CancellationSpectral Subtraction

  16. Noise CancellationSoftware Approach

  17. Software Flow Chart Spirometry Software Maneuver Training RecordSignal as WAV Open Website Download Recorder Patient Info Troubleshoot data Data acceptability Noise Cancellation Filtering and Windowing Averaging Suppression Predicted Values STFT and Plot Test Results

  18. Chosen Design to Implement • Hardware • Electret Condenser Mic (CMI-5247TF-K) • Pop filter for Noise cancellation • Software: Java platform with JSP framework • Downloadable component: WAV file • Web app component • Troubleshooting • Noise Cancellation • Filters • Windowing • Iterative approach • Averagin • Display • Reliability of data • Results showing predicted values, flow volume curves and derived values

  19. Updated Design Schedule

  20. Updated Team Responsibilities

  21. Questions?

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