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- All Subjects: Mechanical Engineering
ContributorsRamirez, Kenia (Performer) / Novak, Gail (Pianist) (Performer) / ASU Library. Music Library (Publisher)
Created2022-03-24
ContributorsSchwerzmann, Magda (Performer) / Buck, Elizabeth (Performer) / ASU Library. Music Library (Publisher) / Campbell, Andrew (Pianist) (Performer)
Created2022-02-06
ContributorsPayne, Jared (Performer) / Payne, Kayla (Performer) / Phillips, Lorin (Performer) / Su, Huixian (Performer) / Noren, Lilian (Performer) / Sharp, Rodney (Performer) / ASU Library. Music Library (Publisher)
Created2022-01-26
ContributorsKatje, Abby (Performer) / Novak, Gail (Pianist) (Performer) / Chang, Hoon (Performer) / Biswas, Debashis (Performer) / Cox, Mason (Performer) / Monroe, Zachary Lynn (Performer) / ASU Library. Music Library (Publisher)
Created2022-03-19
Description
Spirometry is a type of pulmonary function test that measures the amount of air volume and the speed of air flow from a patient's breath in order to assess lung function. The goal of this project is to develop and validate a mobile spirometer technology based on a differential pressure sensor. The findings in this paper are used in a larger project that combines the features of a capnography device and a spirometer into a single mobile health unit known as the capno-spirometer. The following paper discusses the methods, experiments, and prototypes that were developed and tested in order to create a robust and accurate technology for all of the spirometry functions within the capno-spirometer. The differential pressure sensor is set up with one inlet measuring the pressure inside the spirometer tubing and the other inlet measuring the ambient pressure of the environment. The inlet measuring the inside of the tubing is very sensitive to its orientation and position with respect to the path of the air flow. It is found that taking a measurement from the center of the flow is 50% better than from the side wall. The sensor inlet is optimized at 37 mm from the mouthpiece inlet. The unit is calibrated by relating the maximum pressure sensor voltage signal to the peak expiratory flow rate (PEF) taken during a series of spirometry tests. In conclusion, this relationship is best represented as a quadratic function and a calibration equation is computed to provide a flow rate given a voltage change. The flow rates are used to calculate the four main spirometry parameters: PEF, FVC, FEV1, and FER. These methods are then referenced with the results from a commercial spirometer for validation. After validation, the pressure-based spirometry technology is proven to be both robust and accurate.
ContributorsMiller, Dylan (Author) / Forzani, Erica (Thesis advisor) / Trimble, Steve (Committee member) / Xian, Xiaojun (Committee member) / Arizona State University (Publisher)
Created2013
Description
The project is mainly aimed at detecting the gas flow rate in Biosensors and medical health applications by means of an acoustic method using whistle based device. Considering the challenges involved in maintaining particular flow rate and back pressure for detecting certain analytes in breath analysis the proposed system along with a cell phone provides a suitable way to maintain the flow rate without any additional battery driven device. To achieve this, a system-level approach is implemented which involves development of a closed end whistle which is placed inside a tightly fitted constant back pressure tube. By means of experimentation pressure vs. flowrate curve is initially obtained and used for the development of the particular whistle. Finally, by means of an FFT code in a cell phone the flow rate vs. frequency characteristic curve is obtained. When a person respires through the device a whistle sound is generated which is captured by the cellphone microphone and a FFT analysis is performed to determine the frequency and hence the flow rate from the characteristic curve. This approach can be used to detect flow rate as low as low as 1L/min. The concept has been applied for the first time in this work to the development and optimization of a breath analyzer.
ContributorsRavichandran, Balaje Dhanram (Author) / Forzani, Erica (Thesis advisor) / Xian, Xiaojun (Committee member) / Huang, Huei-Ping (Committee member) / Arizona State University (Publisher)
Created2012
ContributorsChang, Hoon (Performer) / Nelson, Samuel (Publisher) / Roderer, Laurana Wheeler (Performer) / Mokofisi, Maya (Performer) / Shute, Hannah (Performer) / Katje, Abby (Performer) / ASU Library. Music Library (Publisher)
Created2022-10-28
ContributorsWarren, Alexia (Performer) / Novak, Gail (Pianist) (Performer) / ASU Library. Music Library (Publisher)
Created2022-10-30
ContributorsCullen, Audrey (Performer) / Goulet, Christopher (Performer) / Yu, Wan-Ting (Performer) / ASU Library. Music Library (Publisher)
Created2022-10-27
ContributorsHartwig, Tiffin Noel (Performer) / Hickman, Miriam, 1955- (Performer) / Borer, Melissa (Performer) / Duckles, Andrew (Performer) / Fuhrman, Kevin (Performer) / Ruiz, Arnold (Performer) / ASU Library. Music Library (Publisher)
Created1992-04-03