Time bias awareness in ECG-based multiple source data matching

Publikationstyp
Conference Paper
Publikationsdatum
2022-07
Sprache
English
Author
Albrecht, Urs-Vito 
Lawin, Dennis 
Kuhn, Sebastian 
Kulau, Ulf 
Institut
Smart Sensors E-EXK3 
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.
Schlagworte
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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