Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive 
Real-Time ICA

Waldert, S; Bensch, M; Bogdan, M; Rosenstiel, W; Schölkopf, B; Lowery , CL; Eswaran, H; Preissl, H

doi:10.1109/TBME.2007.895749

Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA

Waldert, S., Bensch, M., Bogdan, M., Rosenstiel, W., Schölkopf, B., Lowery, C., Eswaran, H., & Preissl, H. (2007). Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA. IEEE Transactions on Biomedical Engineering, 54(10), 1867-1874. doi:10.1109/TBME.2007.895749.

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アイテムのパーマリンク: https://hdl.handle.net/11858/00-001M-0000-0013-CBC1-8 版のパーマリンク: https://hdl.handle.net/21.11116/0000-0005-10E7-4

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Waldert, S, 著者
Bensch, M, 著者
Bogdan, M, 著者
Rosenstiel, W, 著者
Schölkopf, B^{1, 2}, 著者
Lowery , CL, 著者
Eswaran, H, 著者
Preissl, H, 著者

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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794

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要旨: Electrophysiological signals of the developing fetal brain and heart can be investigated by fetal magnetoencephalography (fMEG). During such investigations, the fetal heart activity and that of the mother should be monitored continuously to provide an important indication of current well-being. Due to physical constraints of an fMEG system, it is not possible to use clinically established heart monitors for this purpose. Considering this constraint, we developed a real-time heart monitoring system for biomagnetic measurements and showed its reliability and applicability in research and for clinical examinations. The developed system consists of real-time access to fMEG data, an algorithm based on Independent Component Analysis (ICA), and a graphical user interface (GUI). The algorithm extracts the current fetal and maternal heart signal from a noisy and artifact-contaminated data stream in real-time and is able to adapt automatically to continuously varying environmental parameters. This algorithm has been na
med Adaptive Real-time ICA (ARICA) and is applicable to real-time artifact removal as well as to related blind signal separation problems.

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日付: 出版: 2007-09

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識別子（DOI, ISBNなど）: DOI: 10.1109/TBME.2007.895749
BibTex参照ID: 4361

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出版物名: IEEE Transactions on Biomedical Engineering

種別: 学術雑誌

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出版社, 出版地: New York, NY : Institute of Electrical and Electronics Engineers

ページ: - 巻号: 54 (10) 通巻号: - 開始・終了ページ: 1867 - 1874 識別子（ISBN, ISSN, DOIなど）: ISSN: 0018-9294
CoNE: https://pure.mpg.de/cone/journals/resource/991042742034490

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