Micro Predict Asthma BME Senior Design Dr Paul
Micro. Predict Asthma BME Senior Design Dr. Paul King Matthew J. Clemens Charles R. Houssiere IV Copyright 2003
Market • U. S. spends $6. 2 billion annually on asthma, not including lost work time Purpose • Alleviate the suffering caused by asthma and reduce the financial burden on the national economy
Detection Options Type Pros Cons Train the Asthmatic No Equipment Economical Implanted Sensor Closest to Signal Invasive Difficult to replace External Chest Sensor Easy to attach Easy to replace Copyright 2003 Takes time and effort People aren’t always awake Travel of signal effects accuracy of reading
Description of Signal • Lung-based wheeze approximately 300 seconds prior to asthmatic attack • 250 -3000 Hz Range, lasting 80 -200 ms • Estimated primary power frequency 2502500 Hz Copyright 2003
• Speech Frequencies www. csis. ul. ie/dafx 01/proceedings/papers/ottaviani. pdf • Not an Issue • Preliminary testing did not trigger the circuit when someone was talking. Copyright 2003
Filter Break Frequency High Pass 265 Hz Low Pass 3065 Hz Copyright 2003
Micro. Predict Filter Rectifier Copyright 2003 Comparator
CAM 350 • Layout program for surface mounting • Size of device – 0. 6 in by 0. 6 in (thumbnail) • 3 -Dimensional Programming Copyright 2003
Final Project Challenges • Actual Operations of Filter – Gain needs to be adjusted • Ergonomically Correct – Final packaging size ¾ in 2 – Attachment of sensor to chest still undetermined • Power Consumption and Microprocessor Copyright 2003
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