Project B3

Inverse Solutions for Localization of Biomagnetic Activity in Heart and Brain

The project focuses on the development of applications of the ME sensors to the solution of the biomagnetic inverse problem of the heart and brain using state-of-the-art dynamical estimation methods based on state space modeling and Kalman filtering. These methods allow the fusion of simultaneously measured MCG/ECG or MEG/EEG data and the tracking of propagating heart or brain activity. The determination of the necessary number, distribution and orientation of the ME sensors through the solution of the aforementioned inverse problems will guide the construction of ME sensor arrays. Additionally, the project will work on the inverse problem of magnetic particle mapping with ME sensors.


Michael Siniatchkin
Prof. Dr.-med.
Lead of project B3
Ulrich Stephani
Prof. Dr.-med.
Lead of project B3
Andreas Galka
Nawar Habboush
Doctoral researcher
Laith Hamid
Doctoral researcher


Role within the Collaborative Research Centre

The proposed project B3 focuses on studying the quality of the recorded signals, provides feedback for the other projects concerning artifacts, signal-to-noise ratio, sensor behavior and signal stability, and validates the ME sensors by first applications to clinical (long-term) recordings. Close cooperation is planned with the following partners:

A8: The influence of ME sensor behavior and crosstalk characteristics of sensor arrays on inverse solutions as well as the effect of non-ideal, i.e. extended sensors with fabrication variations, on results of source reconstruction will be studied.
B2: The analyses of SNR (and its influence on inverse solution) and changes of sensor properties with time, and changing influence of external and internal artifacts during long-term recordings enable feedback concerning quality of analog and digital signal processing.
B5: MEG-EEG data recorded in patients with implanted deep brain stimulator by using variable ME sensor arrays will be provided by B5. For B5, the project B3 will investigate significance of the number, placement and orientation of ME sensors, perform source reconstruction using static and dynamic methods, and apply algorithms of fusion of simultaneously recorded MEG and EEG data.
B6: Inverse solutions will be provided to characterize activity in the nerve by using ME sensors in the second funding period. The project B3 will be involved in experiments to learn the behavior of ME signals from nerves.
B7: Magnetic particle mapping in the project B7 will use solutions for the inverse problem developed in B3.
Z2: Construction and further development of heart and head phantoms (more coils for multiple source activity), construction of ME sensor systems and arrays as well as ECG/EEG-ME sensor arrays, performing measurements with scanner).

Project B3 will participate in the focus groups F1 “Modeling” and F3 “Biomagnetic Signal Analysis”.

Project-related Publications

A.R. Anwar, M. Muthalib, S. Perrey, A. Galka, O. Granert, S. Wolff, U. Heute, G. Deuschl, J. Raethjen, and Muthuraman M: Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study, Brain Topogr. 2016 Jul 20.

Financial Support

The Collaborative Research Center 1261 is funded by the German Research Foundation (DFG).

SFB1261 Microsite

Click here to visit our Microsite with information for students, teachers and the public (German and English version available).

Recent Publications

J. Reermann, P. Durdaut, S. Salzer, T. Demming, A. Piorra, E. Quandt, N. Frey, M. Höft, and G. Schmidt: Evaluation of Magnetoelectric Sensor Systems for Cardiological Applications, Measurement (Elsevier), ISSN 0263-2241, 2017,

S. B. Hrkac, C. T. Koops, M. Abes, C. Krywka, M. Müller, M. Burghammer, M. Sztucki, T. Dane, Kaps, Y. K. Mishra,R. Adelung, J. Schmalz, M. Gerken, E. Lage, C. Kirchhof, E. Quandt, O. M. Magnussen, and B. M. Murphy: Tunable Strain in Magnetoelectric ZnO Microrod Composite Interfaces; ACS Appl. Mater. Interfaces, 2017, 9 (30), pp 25571–25577; DOI: 10.1021/acsami.6b15598




Prof. Dr. Eckhard Quandt

Kiel University
Institute for Materials Science


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