Senior Design Expo 2022
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Biomedical Engineering<br />
NeuroNotice<br />
Golda Daphna, Luis Muncharaz Duran, Kalsoum Mbacke,<br />
Rhea Sablani, Elaine Tan<br />
Peripheral neuropathy (PN) is a common consequence of diabetes marked by damage to peripheral<br />
nerves. PN usually originates in the extremities (hands and feet,) and if left undiagnosed can lead<br />
to infections, amputation, and life-threatening illness. Current diagnostic procedures include<br />
electromyograms and nerve conduction studies. However, the high cost, inconvenience, and<br />
invasiveness associated with these procedures may deter at-risk patients from regularly getting<br />
checked for PN. We propose NeuroNotice, an affordable, at-home, and user-friendly solution that<br />
allows patients to monitor symptoms of PN. NeuroNotice is a size-adjustable device that randomly<br />
stimulates, via vibration, regions of the foot. Users respond based on whether they detect the<br />
stimulation, indicating potential loss of sensation that would occur with PN. Acquired data will be<br />
presented in a simple graphical interface. Initial prototype testing demonstrates that NeuroNotice<br />
can successfully determine a difference between healthy and simulated symptomatic feet, thereby<br />
allowing for frequent tracking of PN and supporting physicians’ continuous monitoring of<br />
neuropathy.<br />
deSTIgma: A Digital STI Test Recommendation Platform<br />
Susanna Baek, Katharyn Fatehi, Andy Garcia, Vivian Shi, Ruxandra Tonea<br />
Despite the many medical advances of the last decade, sexually transmitted infections and diseases<br />
(STIs) continue to pose a significant public health issue, with cases increasing continuously for 7<br />
years up to 2020. STI testing, which typically requires an in-person clinic visit, can be inaccessible<br />
due to time, travel, and financial limitations. Due to a lack of education and awareness, STIs are<br />
also highly stigmatized. The deSTIgma STI Test Recommendation Digital Platform streamlines<br />
the STI test-seeking process with a test recommendation questionnaire, clinic map, and educational<br />
resources in an app and website. The questionnaire uses relevant medical history, sexual activity<br />
history, and symptoms to inform and guide users to appropriate tests and resources in NYC. The<br />
machine-learning-based algorithm, stored on a HIPAA approved platform, may be trained with<br />
real patient data, pending IRB approval. deSTIgma aims to make STI testing an easily accessible<br />
component of regular healthcare for all.<br />
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