DTU Studieprojekt - Classifying mental workload using AI with a brain computer interface device

Classifying mental workload using AI with a brain computer interface device

Udbyder
Vejleder
Sted
København og omegn
Industry MSc Project
Insai is a medical device startup based in Copenhagen.

Our company is working on developing better diagnostics and treatments for neuropsychiatric disorders.
Insai is building a medical device that can monitor brain activity and deliver targeted neuromodulation to restore healthy neural function. The Nexus headband enables take-home, tailored, and remotely supervised brain therapy that can scale to patientsin need.
ProjectThe objective of this project is to classify mental workload using AI with a wearable brain computer interface. The project involves conducting a pilot study to collect data from healthy subjects as they perform a series of cognitive tasks with varying levels of difficulty.

The task will then be to build a classifier to distinguish EEG data based on the cognitive workload. This will involve exploring the state of the art signal processing and classification methods. The project will involve all of the steps required from data collection to data analysis and result in determining the most performant model.
This project presents the prospective student with an opportunity to work with real EEG data and gain experience working in a startup environment. Throughout the project, the student will work with a range of brain-computer interface devices, ranging from consumer-focused devices to research-grade devices.

Project start: Spring Semester 2023

Contact information: Kaleem Corbin, [email protected] no of students per report (1-4): Up to 2 students I samarbejde med
Insai ApS

Forudsætninger
Experience with EEG and/or biometric signal processing, Experience with Machine Learning/Deep Learning, Experience with Python

Emneord

• Bioteknologi og biokemi
• Elektroteknologi
• Medicin og medicoteknik
• Antenner
• Elektromagnetisme
• Elektronik
• Lyd
• Mikrobølgeteknologi
• Robotteknik og automation
• Energisystemer
• Billedanalyse
• Hardware og komponenter
• Telekommunikation
• Fysiologisk modellering
• Høreapparater
• Hospitalsindretning
• Kunstige organer
• Medicinske apparater og systemer
• Nanomedicin
• Radioaktive lægemidler og isotoper
• Sundhed og sygdomme
• Rumteknologi og instrumenter
• Satellitter

• BrainComputerInterface

Navn
Nina Kjærgaard Hendel

Stilling
Chefkonsulent

Mail
[email protected]

Vejleder-info
Kandidatuddannelsen i Medicin og Teknologi
Vejleder
Nina Kjærgaard Hendel

Type
Kandidatspeciale

Kandidatuddannelsen i Elektroteknologi
Vejleder
Nina Kjærgaard Hendel

Type
Kandidatspeciale