Thesis Pre-Processing ECG & Respiratory Signals for Detection of Stress
T. Kuruoğlu (TU Delft - Electrical Engineering, Mathematics and Computer Science)
E. Kinaci (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Carolina Varon – Mentor (TU Delft - Signal Processing Systems)
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Abstract
The main purpose of this thesis is the removal of different kinds of artifacts from incoming signals and the identification of relevant information which can be utilized for further analysis. This thesis proposes two designs which are used for the pre-processing of the electrocardiogram (ECG) signal and the respiratory signal. The ECG signal system design consists of an artifact removal system, a three-step quality check at the initial stage and after pre-processing the raw signal. The respiratory signal system consists of a two-step quality check, a artifact removal part and a part which calculates the respiratory rate from the respiratory signal.