Neuro-imaging Using Low Cost Devices and Technologies
Electronics and embedded system design for neuro-engineering
Project description
Historically, functional near-infrared spectroscopy (fNIRS) is with a large size and high cost that limiting the widespread adoption. In this project, we will study an integrated wireless fNIRS headband system equipped with a single LED source and 3-4 detectors. The system comes with accompanying data collection software for computers and smartphones and has been validated using classic fNIRS tasks. This design is scalable for more channels, facilitating the easy collection of fNIRS data during routine activities in natural settings.
Project outcome
Create a low-cost fNIRS system for neuro-imaging.
Project details
| Length of commitment | Year-long (10-12 months) |
| Start time | Anytime |
| In-person, remote, or hybrid? | In-Person Project |
| Level of collaboration | Individual student project |
| Benefits | Academic credit Stipend |
| Who is eligible | All undergraduate students who have experience or taken hardware and computer engineering courses |
Core partners
- UBMD
Project mentor
Wenyao Xu
Professor
Computer Science and Engineering
Start the project
- Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
- After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.)
Preparation activities
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
The student needs to read through the paper attached. There are open sources in the attached.
Neuroimagingusinglowcostdevicesandtechnologies_79406182_fnirs1.pdf | Powered by Box
Keywords
medical device; computer engineering