The research focuses on creating EEG electrode systems designed to work effectively with afro-textured hair, addressing key issues around signal clarity and accessibility. This involves combining principles from biomedical engineering, materials science, and neurophysiology to improve tools used in clinical gait and mobility studies.
Some highlights of this work include:
Using SolidWorks CAD to design 3D electrode attachments that fit comfortably on the scalp while accommodating different hair types, ensuring good contact and reducing movement-related signal noise.
Producing these electrodes with high-precision SLA resin 3D printing, choosing materials that are safe and durable for long-term use.
Bringing together EEG sensors with motion-tracking devices like inertial measurement units (IMUs) and pressure-sensitive insoles to gather detailed data on brain and body movement simultaneously.
Conducting comprehensive testing to optimize signal quality, from electrode placement to signal processing, following all institutional research ethics guidelines.
The ongoing goal is to make neuroimaging studies more inclusive and create rehabilitation tools that work well for everyone, regardless of hair type, ultimately contributing to fairer and more effective treatment options.
Currently also developing an in-vitro central nervous system (CNS) model focusing on a detailed 3D representation of the spinal cord. This project includes the dura mater, pia mater, nerve roots, and denticulate ligaments, allowing for accurate anatomical and physiological studies. The model is created using advanced CAD and 3D printing techniques to ensure anatomical realism and flexibility.
Other Projects :
Wearable sEMG device for myofascial detection
Magnetic biopsy capsule design
Tear-fluid glucose monitoring contact lens (wireless data)