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Microcontroller Based Diagnostic Smart Inhaler

Steller, Andrew
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445615167

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
The primary objective of this thesis is to develop a prototype for a smart/diagnostic inhaler system for use by asthma patients. Asthma is a chronic condition that affects the lungs, airways, and breathing of the individual. The condition requires continuous monitoring of symptoms in order to provide effective treatment. Treatment regiments must be strictly maintained to ensure accurate entrapment is being prescribed. The smart inhaler has been developed with the tracking of symptoms and adherence to medicine regiments in mind. The information can then be provided to the physician so they can more accurately diagnose and prescribe further courses of treatment. The smart inhaler has several major features built in. These features include: spirometry measurements, tracking of medicine usage, and a blue tooth link up to a smart phone for user interfacing. Other features include non-volatile memory storage of user data and alarm functionality to help enforce medicine regiments and schedule spirometry tests. Data can be retrieved through an upload via blue tooth or directly reading the memory so that physician can have access to a much larger set of data to assist in diagnostics and treatments for the patient. The system is based around a PIC24 microcontroller, a microSD card, a differential pressure sensor, and an RN-42 blue tooth module. Supporting hardware includes battery management and voltage regulation on a separate power supply, along with several buttons and LEDs to complete the user interface. All of the devices are designed to be packaged in a hand held plastic inhaler body. This thesis details design, implementation, and testing of the prototype device.
Fred Beyette, Ph.D. (Committee Chair)
Carla Purdy, Ph.D. (Committee Member)
Philip Wilsey, Ph.D. (Committee Member)
49 p.
Electrical Engineering
Micocontroller; Inhaler; Smart Device; Spirometry

Recommended Citations

Citations

  • Steller, A. (2015). Microcontroller Based Diagnostic Smart Inhaler [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445615167

    APA Style (7th edition)

  • Steller, Andrew. Microcontroller Based Diagnostic Smart Inhaler. 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445615167.

    MLA Style (8th edition)

  • Steller, Andrew. "Microcontroller Based Diagnostic Smart Inhaler." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1445615167

    Chicago Manual of Style (17th edition)

ucin1445615167
1,122
© 2015, some rights reserved.Creative Commons License Microcontroller Based Diagnostic Smart Inhaler by Andrew Steller is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.