Internship | Real time vital signs monitoring algorithm from BCG
Education typeuniversity (wo)
TypeInternship and graduation project
Hours a weekFulltime – 40
A Multidisciplinary project to develop a real time algorithm to extract respiratory and cardiovascular features from ballistocardiograph data recorded with piezoelectric sensors. The aim of this student project is to create an algorithm which extracts respiratory and cardiovascular features in real time. Primary focus will be on the breathing rate, heartrate and heartrate variability. There parameters will be extracted from a ballistocardiograph (BCG), which is obtained unobtrusively using printed piezoelectric sensors. To gather the dataset which is needed for algorithm development, a volunteer study will be performed which measures the BCG as well as a reference data consisting of chest wall expansion measured with a commercial chest band and as reference ECG with commercial electrodes. The student will (partially) assist during the execution of the volunteer tests, but will focus on the data analysis and further development of currently in-house created algorithms. The student will try to extract as accurate as possible different parameters correlated to the vital signs. The algorithm developed for this task should be developed in such a way that it will be applicable during real time measurements. The student will evaluate the performance of its developed algorithm in comparison to other measuring techniques found in literature. You will be working in a multidisciplinary team and in particular closely together with a student working on the same technology to measure posture information.
What will be your role?
How do you want to contribute to tomorrow's world? How big can your impact be? Come and work at TNO and envision it.
What we expect from you
- Background/literature research on BCG, RR and ECG characteristics and measurement techniques
- Creating and performing measurement for data gathering
- Analysis of the measured data in terms of quality and usability
- Creation of real time algorithm to analyze BCG data in python
- Testing/evaluating created algorithms in terms of performance
- Evaluate the outcome to give feedback for further development
- Participate in group meetings, provide feed-back, discuss results, and propose solutions to various challenging aspects
- Write technical internship report
What you’ll get in return
TNO as an employer
The selection process
After the first CV selection, the application process will be conducted by the concerning department. TNO will provide a suitable internship agreement. If you have any questions about this vacancy, you can contact the contact person mentioned below.
Due to Covid-19 and the consequent uncertainties and restrictions, students who are not residing in the Netherlands may currently not be able to start an internship or graduation project at TNO.
Has this job opening sparked your interest?
Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘apply now’ button.
Contact: Lars Rikken
Phone number: +31641099446