Health
The Fulton Schools’ efforts in health innovation range from understanding the causes behind Alzheimer’s disease and improving methods for predicting epileptic seizures to developing advanced biosensors, bioassays and lab-on-a-chip devices for clinical diagnostics. Additional areas of research exist in novel biological materials, neural engineering, biomedical informatics, drug-delivery systems, health care systems analysis and modeling, health monitoring devices and human rehabilitation technologies.
Intelligent Urine Detection System
Urine sensing diaper technology designed to reduce adult diaper dermatitis and other related conditions in memory care facilities. Additional functions are patient location and diaper usage tracking. Video Research poster View the poster Sponsor Advisor James AberleFaculty AssociateSchool of Electrical, Computer and Energy [email protected]
Haptic fashion technology
Our team created a product that can help guide the visually impaired community through non-intrusive technology. Our product contains a camera, raspberry pi 5, 5v 4a lithium ion batteries, and 5 haptic motors. Using OpenCV and YOLOv12, Our teams device can identify potential hazards and can help guide the user to safety. Video Research poster…
Gesture-Controlled Laparoscopic Camera System
A gesture-controlled laparoscopic camera system that uses head movements for real-time, hands-free control, enhancing surgical precision and autonomy through machine learning and simulation tools. Demo Day Zoom link: https://asu.zoom.us/j/87337852784 Video Research poster View the poster Sponsor Advisor Chao Wang (Assoc Prof)Associate ProfessorSchool of Electrical, Computer and Energy [email protected]
Fault-tolerant Design of Passive Biomedical Implants
This project involves the design and implementation of a fault-tolerant, wireless energy harvester for a cardiac stimulator. The system uses RF energy at 2.4 GHz to power the implantable device which delivers controlled monophasic pulses for therapeutic stimulation. The redesign prioritizes fault tolerance, enabling the system to maintain continuous operation even in the presence of…
Design for manufacturing of a Sub-Millimeter Scale, Wireless, Neurostimulator for Peripheral Nervous System
The project aims to develop a durable, biocompatible and reliable implant for monitoring intracranial pressure (ICP) and providing real-time therapeutic stimulation. This device is powered by wireless RF energy, removing the need for batteries or invasive surgeries, making it suitable for long-term use. Demo Day Zoom link: https://asu.zoom.us/j/81713317786 Video Research poster View the poster Sponsor…
Brain NMR Metabolomics Using Extracted Liquid Samples vs Focused Beam Microwave Fixed Solid Tissues
Magic Angle Spinning (MAS) Nuclear Magnetic Resonance (NMR) Spectroscopy is known for its ability to produce sharper, more resolved peaks compared to traditional liquid chemical extraction NMR. The broad, poorly resolved peaks typically observed in liquid NMR average out in solid-state MAS, resulting in higher quality data, especially when applied to complex samples such as…
Local Field Potential Modulations in the Motor Cortex Arising from Different Tactile Cues and Visual Feedback in a Mixed Reality Environment
Multisensory integration is a complex integration of multiple senses used to form percepts that are critical for interacting with one’s surroundings. Mixed reality platforms are a way to study multisensory integration. In a recent study from the lab, a mixed reality platform was used to examine effects of different tactile cues and arm visual feedback…
Discovering the 6th Degree of Freedom: How to Incorporate the Electrode Lead in the DBS Automatic Leksell Frame Adjuster Device
Deep brain stimulation (DBS) is a neurosurgical treatment that uses electrical stimulation to targeted portions of the brain to treat conditions such as Parkinson’s disease, epilepsy, Tourettes, OCD, and obesity. The current Leksell frame Adjuster is an antiquated device that neurosurgeons have been using that is very tedious and outdated for them. I will be…
Assessing Cognitive Performance during Dynamic Activities with Varying Insole Textures
Assessing the data quality and overall presence of current excited signal is an important stage of screening and processing the data produced from Magnetic Resonance Electrical Impedance Tomography (MREIT) experiments. To do this, Signal to Noise (SNR) analysis and two methods of subtractive comparison were utilized. The data analyzed consisted of previously collected MREIT scans…
Similarity of Subtracted Current Excitation of Off-Plane Magnetic Resonance Electrical Impedance Tomography
Assessing the data quality and overall presence of current excited signal is an important stage of screening and processing the data produced from Magnetic Resonance Electrical Impedance Tomography (MREIT) experiments. To do this, Signal to Noise (SNR) analysis and two methods of subtractive comparison were utilized. The data analyzed consisted of previously collected MREIT scans…