In this project we will observe the cognition level of people in different CO2 concentration level environments. The aim is to link variability of different physiological measurements and standard cognitive test results to different CO2 concentration levels.
Indoor air quality has gained quite some interest recently since we spend ~90% of our time indoors. Elevated CO2 concentration is known to cause impaired attention, tiredness, drowsiness and headaches. This can affect employee efficiency, student productivity, and well-being at home, work, hospitals, elderly homes, schools and/or childcare facilities.
Within this project we will evaluate the cognition level of participants in relation to the indoor air quality. To investigate this relationship, you should design and set up a data collection protocol. The protocol should include cognitive testing, air quality monitoring and physiological measurements. The goal of the project will be to link variability of the different (physiological) measurements to the exhibited CO2 concentrations.
This thesis research includes the following steps: literature study to obtain an overview of the state-of-the-art on indoor air quality and related health effects, design of the experimental setup, cleaning of data and signal processing, and data analysis to analyze the relation between air quality and cognitive function. Within the project you will be analyzing (physiological and air quality) data. During the project you will interact with different experts on the topic. Finally, you are expected to give a presentation and write a report. Depending on the results a journal publication should be prepared.
- Literature study;
- Design of experiment;
- Data collection;
- Signal processing;
- Data analysis;
- Msc student in Biomedical Engineering or Computer Science and Engineering.
- Available for a period of 9 months.
- Basic knowledge of or affinity with physiology and interest in air quality.
- Followed courses on signal processing, data analysis and/or machine learning.
- Basic knowledge of Python and/or R and/or Matlab.
- Entitled to do an internship in the Netherlands.
- Motivated student eager to work independently and expand knowledge in the field.
- Good written and verbal English skills.
For all inquiries, please contact:
Ms Najat Loiazizi, HR Business Partner
Telephone number: +31 (0)40 40 20 675
Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.