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Time Bias Awareness in ECG-Based Multiple Source Data Matching
Urs-Vito Albrecht, Dennis Lawin, Sebastian Kuhn, Ulf Kulau
91 - 94
10.3233/SHTI220668
Research Article
Studies in Health Technology and Informatics
Volume 295: Advances in Informatics, Management and Technology in Healthcare
Abstract

For cardiological datasets acquired via different methodologies, ECG signals that are recorded in parallel allow for relatively accurate matching. Some research issues, e.g., the identification of timings of the cardiac cycle in seismocardiography, require higher temporal resolutions. Therefore, we introduce a method derived from a feasibility study to determine deviations and factors influencing the merging of signals simultaneously recorded with different modalities.

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