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  4. Time bias awareness in ECG-based multiple source data matching
 
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Time bias awareness in ECG-based multiple source data matching

Citation Link: https://doi.org/10.15480/882.4482
Publikationstyp
Conference Paper
Date Issued
2022-07
Sprache
English
Author(s)
Albrecht, Urs-Vito  
Lawin, Dennis  
Kuhn, Sebastian  
Kulau, Ulf  
Institut
Smart Sensors E-EXK3  
TORE-DOI
10.15480/882.4482
TORE-URI
http://hdl.handle.net/11420/13231
First published in
Studies in health technology and informatics  
Number in series
295
Start Page
91
End Page
94
Citation
Studies in Health Technology and Informatics 295: 91-94 (2022)
Contribution to Conference
20th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2022  
Publisher DOI
10.3233/SHTI220668
Scopus ID
2-s2.0-85133300898
PubMed ID
35773814
Publisher
IOS Press
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.
Subjects
analog-digital
seismocardiography
synchronisation
time delays
DDC Class
004: Informatik
600: Technik
610: Medizin
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc/4.0/
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