To show proof of concept that soft robotics can be used to control flow rate of cerebrospinal fluid by constricting and expanding at a doctor's request to treat hydrocephalus
Amyotrophic Lateral Sclerosis (ALS) is a disease within the nervous system that causes limited muscle mobility in patients that have this disease. Patients with ALS struggle with carrying out many daily activities. For instance, one such activity is controlling the movement of their hospital bed. Therefore, we are developing a voice-controlled small-scale hospital bed prototype. The creation of such a device will enable ALS patients to easily control their hospital bed to their liking. It will also provide ALS patients with a feeling of independence — as they will be able to control their bed without the need of a caretaker.
So far, we have developed a voice-controlled small-scale hospital bed, using an Arduino, a motor, a hinge, and pieces of wood.
The next steps for us are to create a more robust bed design, improve the microphone’s ability to capture voices clearly, and design a stronger lifting system.
Project Members: Zaahi Hussaini (PM), Jaya Ganapathi (PM), Teddy Dulles, and Avni Varshney
Through this project, we designed and developed an automated device that detects concentration levels of various biomarkers (proteins, leukocytes, uric acid, etc.) to ease urine testing in Geriatric patients. The main objective was to create a system that is user-friendly and requires minimal efforts, so that patients can easily share data with healthcare providers via a digital user interface. We initially began with researching the components needed in the device, and decided to use a microscope, and UV-Vis spectrophotometer. Next, we developed a CAD model of the device using Fusion 360, and it resembles the shape of a toilet bowl, allowing easy attachment to an actual toilet and sanitation.
We envision making a mobile application to store and share the biomarker data from the spectrophotometer to doctors. More research needs to be done regarding the signal transmission mechanism, but we have ideas of using a React Native framework and C++ for backend software development.
Project Members: Soundarya Sivakumar, Renee Bhanvadia, Asmaa Mansour, Rey Jain, Zedong Hao, Chathurya Devineni
Stethopy is a one-of-a-kind project that combines software and hardware concepts to create a digital stethoscope to make telehealth and chronic care simpler for patients and doctors.
A patient-centric imaging device for cervical cancer screening to improve patient and gynaecologist experience.
The Smart Balance Board project is working on creating a balance board capable of providing patients and physical therapists with feedback to help with ankle therapy. The patient should receive instant feedback and the therapist should be able to indicate desired angles/positions remotely. Our Smart Balance Board team were awarded the Outstanding RSO exhibit at UIUC's annual Engineering Fair and Competition - Engineering Open House 2023.
This project was in partnership with winners of the Health-Make-a-Thon and their startup 'Sepsig' to develop a smart solution to monitor the vitals of sepsis patients. This was a project that combined both software and hardware concepts to create an app integrated with the Apple Watch which monitored blood pressure, heart rate, breathing rate and activity. These vitals are measured at frequent intervals of time to create a final spreadsheet detailing the vital fluctuations of the patients. Moreover, this tool also can generate alerts when vitals are outside of a prescribed interval as inputted by the user.
The IV Simulator project is working to develop an affordable and reusable IV simulator for medical training. We are seeking to design a wearable trainer for IV insertion with realistic user feedback including blood flashback.
We are working on creating a reusable IV bag that can be spiked multiple times for simulation use. The main goal is to prevent air bubbles from forming and entering the patients blood stream as this can be fatal.
A mask exchange platform designed for users with excess masks to donate/sell their masks to people in need of masks
Students are building a game application that helps those with violent tendencies heal their past traumas and reinforce positive behaviours
Our group is working with a family in the Champaign-Urbana community to design a more functional, portable solution for the son's wheelchair tray. We are utilizing 3D CAD skills and materials science knowledge in order to create a product that better assists our client's everyday needs.
Using Google's Flutter to build a cross platform mobile application to support widespread advertisement of UIUC Health Maker Lab and Health Make-a-Thon
Students are utilizing both 3D cad and 3D printing skills to design two knee braces for a 1.5 year-old dog with two CCL tears as a cheaper alternative to surgery.
The GIBuddy project is building a portable breathalyzer-like device that detects hydrogen in the breath to test for small intestine bacterial overgrowth (SIBO).
Creating a brace for a dog with torn CCL's.
The Reddit Tool team is utilizing natural language processing algorithms on the mental health forum r/SuicideWatch. The goal is to provide first responders with an automated breakdown of risk factors identified in suicidal posts to the forum, as well as recommended response strategies to help provide better support to those afflicted with suicidal ideation.
Designing affordable 3D printed prosthetic fingers catered to amputees in low resource communities.
To design a device that prevents strokes after Transcatheter Aortic Valve Replacement procedure
