by Jessica Lourdes Felix, Joshua Julian Sale, and Wanisha Siripakdi

Increasing Sound Wave Feedback in Ultrasound Imaging 

By Arthur Paquia and Calvin Saechao
Traditional ultrasound imaging devices rely on far-field (FF) sound wave data to generate an image but these devices fail to capture data from evanescent/near field (NF) sound waves that exist within the diffraction limit. The “acoustic hyperlens”, a device constructed using a metamaterial, can transform NF waves to FF waves due to its anisotropic properties. Prior metamaterial research has focused on sound wave propagation through air gaps between radial fins made of dense material such as brass. Our research changes the fin geometry to further explore the sound wave propagation under different anisotropic conditions. Using Finite Element Analysis (FEA) and re-orienting the fins perpendicular to the sound source, we observed two unique properties; enhancement of the sound wave and re-direction of the sound wave back to the source. The benefits of our research can potentially increase sound wave feedback through the reflection of the sound waves back to the transducer.

CP Hand Splint

Abdul Hashimi AnhThu LePhuoc Thuan Pham Troy Sambyal 

Cerebral palsy (CP) is a non-progressive disorder caused by abnormal development in the brain during pregnancy. CP affects one of every 1000 children globally, causing deficiencies in mobility, posture, and motor function. Spastic hand cerebral palsy, the most common form, causes hyperflexion of wrist and hand resulting in lack of motor grip and control. CP has a much higher incident rate in developing countries occurring in one of every 500 children. This affected patient population lacks the necessary treatment options to regain grip strength and motor function. Due to the fact that there are no current accessible hand orthotics for spastic CP patients in developing countries, our team will prototype, revise, and implement the accessible 3D printed hand orthotic. This custom orthotic will reduce the hyperflexion of the hand and wrist. Patient-feedback surveys on comfort, support, and usability will also help determine revisions necessary and effectiveness of the device. Designing for manufacturability and current 3D printing technology will allow the rapid implementation of the device in developing nations.

Automated IV Alignment System
Anh-Thy Nguyen

Intravenous (IV) insertion is the most commonly performed drug infusion procedure on people of all ages. In the US, IV insertion failure rates are estimated at 28% for adults and can range from 47%-70% for pediatric and geriatric patients. IV insertion failure leads to multiple attempts of needle insertion causing discomfort for the patient or potential nerve damage. Technology such as near-infrared light makes visualizing the vein for practitioners easier, however, these devices lack the ability to insert an IV. Here, we will evaluate the impact of integrating a near-infrared imaging system with an automated alignment system on successful IV insertions. Our testing shows that with the help of infrared imaging systems, our algorithm is able to locate bifurcations veins which allows our alignment system to move to the targeted bifurcation vein. The successful prototype and demonstration of this system may be the starting point of standardizing robotic IV insertions regardless of the patient’s physiology and practitioner’s skill.