Jasmine Battikha, Morgan Lyon, Mai Landry, Thomas Morris, Rachel Wright
Premature babies in the neonatal intensive care units (NICUs) are frequently exposed to high noise levels, including alarms, ventilators, and other medical equipment. These noises often exceed the recommended sound limit of 45dB, which can disrupt critical sleep cycles and contribute to long-term cognitive and attention-related challenges, such as ADHD. Additionally, premature infants miss out on key auditory stimulation and development that normally occurs in-utero. Therefore, there is a need for a solution that not only reduces stressful noise but also delivers physiologically relevant sounds that mimic the in-utero environment for premature infants.
Catherine Hawkins, Noah Phillips, Michael Shore, Lennard Buluran, Jude Blouin
This project supports interventional pulmonologists by addressing the need for more efficient tissue capture during endobronchial ultrasound procedures. A novel needle with lumen grooves and an integrated electronic system were developed to reduce biopsy passes, save procedure time, and minimize tissue trauma.
Collette Barnor, Cody Begg, Kashia Palmer, Livia Woelfle
Access to quality gynecological care is critical for early diagnosis and treatment of cervical and reproductive health conditions. However, in patients with increased vaginal sidewall laxity—commonly observed in individuals with obesity and multiparity—standard speculums often fail to provide adequate visualization of the cervix, complicating examinations and procedures. Women’s Health care providers need a better way to view the cervix and collect viable cervical cells samples without compromising sterility or patient comfort. To address this issue, our senior design team has developed a novel accessory device that clips onto the disposable plastic speculum, to effectively improve cervical visualization in these cases.
Saul Chavez, Koios Sheperd, Max Dunn, Ben Hochberg
The AI Biomimicry Hand is an option for over the wrist amputees to recover functionality and enhance their quality of life. The most advanced prosthetic in the market use myoelectric signals to operate, cost tens of thousands of dollars a piece, and in return only offer patients with the ability to switch between a few preset hand positions and configurations. Our device revolutionizes prosthetics by introducing a completely new kind of sensory input, surface skin stretch.
Measuring the small changes in skin strain that occurs when we move our hands, and processing that data using deep learning machine models, we are able to replicate the movements of the hand at a higher resolution. The AI aspect, makes the prosthetic not only highly personalized, but also gives it the ability to become more and more efficient as the patient uses it more and more. Furthermore, the software is written in such a way to make it easy in increase and decrease the number of inputs or outputs, making the current prototype easily adaptable to better sensing technologies.
