Advances in Head-Derived Multi-Modal Signals for Biomedical Applications

Master Thesis (2025)
Author(s)

L.P.J. de Klerk (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

P. Pawelczak – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

V.K.P. Dsouza – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

H.S. Hung – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2025
Language
English
Graduation Date
26-08-2025
Awarding Institution
Delft University of Technology
Programme
Computer Science
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Embedded wearable systems increasingly enable the continuous monitoring of physiological signals in everyday environments. In this work, we use a new on-body embedded sensing system to gather accelerometer and barometer signals to estimate two physiological signals in the head-area.

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File under embargo until 31-08-2027