Theses and dissertations

This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Correlational Analysis Between Speech and Gait in Parkinson's Disease

Description
Parkinson’s Disease is one of the most complicated and abundantneurodegenerative diseases in the world. Previous analysis of Parkinson’s disease has identified both speech and gait deficits throughout progression of the disease. There has been minimal research looking into the correlation between both the speech and gait deficits in those diagnosed with Parkinson’s. There…

Parkinson’s Disease is one of the most complicated and abundantneurodegenerative diseases in the world. Previous analysis of Parkinson’s disease has identified both speech and gait deficits throughout progression of the disease. There has been minimal research looking into the correlation between both the speech and gait deficits in those diagnosed with Parkinson’s. There is high indication that there is a correlation between the two given the similar pathology and origins of both deficits. This exploratory study aims to establish correlation between both the gait and speech deficits in those diagnosed with Parkinson’s disease. Using previously identified motor and speech measurements and tasks, I conducted a correlational study of individuals with Parkinson’s disease at baseline. There were correlations between multiple speech and gait variability outcomes. The expected correlations ranged from average harmonics-to-noise ratio values against anticipatory postural adjustments-lateral peak distance to average shimmer values against anticipatory postural adjustments-lateral peak distance. There were also unexpected outcomes that ranged from F2 variability against the average number of steps in a turn to intensity variability against step duration variability. I also analyzed the speech changes over 1 year as a secondary outcome of the study. Finally, I found that averages and variabilities increased over 1 year regarding speech primary outcomes. This study serves as a basis for further treatment that may be able to simultaneously treat both speech and gait deficits in those diagnosed with Parkinson’s. The exploratory study also indicates multiple targets for further investigation to better understand cohesive and compensatory mechanisms.
ContributorsBelnavis, Alexander Salvador (Author) / Peterson, Daniel (Thesis advisor) / Daliri, Ayoub (Committee member) / Berisha, Visar (Committee member) / Arizona State University (Publisher)
Created2022
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A Secure Protocol for Contact Tracing and Hotspots Histogram Computation

Description
Contact tracing has been shown to be effective in limiting the rate of spread of infectious diseases like COVID-19. Several solutions based on the exchange of random, anonymous tokens between users’ mobile devices via Bluetooth, or using users’ location traces have been proposed and deployed. These solutions require the user…

Contact tracing has been shown to be effective in limiting the rate of spread of infectious diseases like COVID-19. Several solutions based on the exchange of random, anonymous tokens between users’ mobile devices via Bluetooth, or using users’ location traces have been proposed and deployed. These solutions require the user device to download the tokens (or traces) of infected users from the server. The user tokens are matched with infected users’ tokens to determine an exposure event. These solutions are vulnerable to a range of security and privacy issues, and require large downloads, thus warranting the need for an efficient protocol with strong privacy guarantees. Moreover, these solutions are based solely on proximity between user devices, while COVID-19 can spread from common surfaces as well. Knowledge of areas with a large number of visits by infected users (hotspots) can help inform users to avoid those areas and thereby reduce surface transmission. This thesis proposes a strong secure system for contact tracing and hotspots histogram computation. The contact tracing protocol uses a combination of Bluetooth Low Energy and Global Positioning System (GPS) location data. A novel and deployment-friendly Delegated Private Set Intersection Cardinality protocol is proposed for efficient and secure server aided matching of tokens. Secure aggregation techniques are used to allow the server to learn areas of high risk from location traces of diagnosed users, without revealing any individual user’s location history.
ContributorsSurana, Chetan (Author) / Trieu, Ni (Thesis advisor) / Sankar, Lalitha (Committee member) / Berisha, Visar (Committee member) / Zhao, Ming (Committee member) / Arizona State University (Publisher)
Created2021