Time Bias Awareness in ECG-Based Multiple Source Data Matching

Albrecht U-V, Lawin D, Kuhn S, Kulau U (2022)
In: Advances in Informatics, Management and Technology in Healthcare. Mantas J, Gallos P, Zoulias E, Hasman A, Househ MS, Diomidous M, Liaskos J, Charalampidou M (Eds); Studies in Health Technology and Informatics. IOS : 91-94.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Herausgeber*in
Mantas, John; Gallos, Parisis; Zoulias, Emmanouil; Hasman, Arie; Househ, Mowafa S.; Diomidous, Marianna; Liaskos, Joseph; Charalampidou, Martha
Abstract / Bemerkung
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.
Erscheinungsjahr
2022
Buchtitel
Advances in Informatics, Management and Technology in Healthcare
Serientitel
Studies in Health Technology and Informatics
Seite(n)
91-94
ISBN
9781643682907
eISBN
9781643682914
ISSN
09269630
eISSN
18798365
Page URI
https://pub.uni-bielefeld.de/record/2964145

Zitieren

Albrecht U-V, Lawin D, Kuhn S, Kulau U. Time Bias Awareness in ECG-Based Multiple Source Data Matching. In: Mantas J, Gallos P, Zoulias E, et al., eds. Advances in Informatics, Management and Technology in Healthcare. Studies in Health Technology and Informatics. IOS ; 2022: 91-94.
Albrecht, U. - V., Lawin, D., Kuhn, S., & Kulau, U. (2022). Time Bias Awareness in ECG-Based Multiple Source Data Matching. In J. Mantas, P. Gallos, E. Zoulias, A. Hasman, M. S. Househ, M. Diomidous, J. Liaskos, et al. (Eds.), Studies in Health Technology and Informatics. Advances in Informatics, Management and Technology in Healthcare (pp. 91-94). IOS . https://doi.org/10.3233/SHTI220668
Albrecht, U. - V., Lawin, D., Kuhn, S., and Kulau, U. (2022). “Time Bias Awareness in ECG-Based Multiple Source Data Matching” in Advances in Informatics, Management and Technology in Healthcare, Mantas, J., Gallos, P., Zoulias, E., Hasman, A., Househ, M. S., Diomidous, M., Liaskos, J., and Charalampidou, M. eds. Studies in Health Technology and Informatics (IOS ), 91-94.
Albrecht, U.-V., et al., 2022. Time Bias Awareness in ECG-Based Multiple Source Data Matching. In J. Mantas, et al., eds. Advances in Informatics, Management and Technology in Healthcare. Studies in Health Technology and Informatics. IOS , pp. 91-94.
U.-V. Albrecht, et al., “Time Bias Awareness in ECG-Based Multiple Source Data Matching”, Advances in Informatics, Management and Technology in Healthcare, J. Mantas, et al., eds., Studies in Health Technology and Informatics, IOS , 2022, pp.91-94.
Albrecht, U.-V., Lawin, D., Kuhn, S., Kulau, U.: Time Bias Awareness in ECG-Based Multiple Source Data Matching. In: Mantas, J., Gallos, P., Zoulias, E., Hasman, A., Househ, M.S., Diomidous, M., Liaskos, J., and Charalampidou, M. (eds.) Advances in Informatics, Management and Technology in Healthcare. Studies in Health Technology and Informatics. p. 91-94. IOS (2022).
Albrecht, Urs-Vito, Lawin, Dennis, Kuhn, Sebastian, and Kulau, Ulf. “Time Bias Awareness in ECG-Based Multiple Source Data Matching”. Advances in Informatics, Management and Technology in Healthcare. Ed. John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos, and Martha Charalampidou. IOS , 2022. Studies in Health Technology and Informatics. 91-94.
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