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M. Sc. Christin Bald

Room D-016
Kaiserstraße 2, 24143 Kiel, Germany
Phone: +49 431 880-6129
Telefax: +49 431 880-6128
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Research: Real-time Signal Processing for Magnetoelectric Sensors

To measure signals emitted by bio-medical sources like the heart or a skeleton muscle with a high temporal resolution, the generated electrical potentials on the body surface or the generated magnetic flux are usually measured. One big difference between the two measurement types (and the main advantage of the measurement of the magnetic flux) is that the magnetically measured signals are less distorted by surrounding materials of the source compared to their electric counterparts. Unfortunately, the operation of suitable state-of-the-art sensors, which are mainly based on super-conducting quantum interference devices (SQUIDs), is in general very expensive.

Sensors based on the magneto-electric (ME) effect have the potential to be a suitable alternative. During the last years the new ME sensors, developed in collaborative research groups at Kiel University, reached a sensitivity level which makes it possible to detect the human heart beat. Since no cooling is required for this sensor type, the operational cost are relative low. This could lead to an increased number of magnetic measurements for medical diagnostics in the future. In addition the sensors can be placed closer to the measured object and arrays of higher sensor probability can be built up, because the sensors are smaller in size.

The challenging part arises, because these sensors also record mechanical vibrations, whereby the desired signals are superimposed by unwanted signal components. To reduce this coupling effect and increase the usability of such sensors in measurement environments signal processing techniques are applied. Approaches are based on adaptive noise cancellers using non-magnetic noise reference sensors or intelligent sensor read-out schemes.

Related topics:

  • Noise cancellation and suppression
  • Signal combination
  • Beamforming
  • Signal analysis
  • Biomagnetic measurements

 

Further interests:

  • Real-time digital signal processing
  • Localization

 

Short CV

 
 
Time span   Details
  2017 - current   Research assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany  
  2016 - 2017   M.Sc. in Electrical Engineering and Business Administration at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany  
  2012 - 2016   B.Sc. in Electrical Engineering and Business Administration at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany  

 

Publications

  1.    

    C. Bald, N. Simoski, E. Elzenheimer, G. Schmidt: Aktive Schirmung optisch gepumpter Magnetometer mittels Helmholtzspulen, Biosignale Workshop, 2020, Kiel, Germany

  2.    

    P. Piepjohn, C. Bald, G. Kuhlenbäumer, G. Deuschl, G. Schmidt: Echtzeitklassifizierung von Bewegungsmustern von Tremorpatienten, Biosignale Workshop, 2020, Kiel, Germany

  3.    

    C. Bald, E. Elzenheimer, J. Reermann, T. Sander-Thömmes, G. Schmidt: Amplitudenverlauf des Herzmagnetfeldes als Funktion des Abstandes, Biosignale Workshop, 2018, Erfurt, Germany

  4.    

    J. Reermann, C. Bald, P. Durdaut, A.Piorra, D. Meyners, E. Quandt, M. Höft, and G. Schmidt: Adaptive mehrkanalige Geräuschkompensation für magnetoelektrische Sensoren, Proc. DAGA, Kiel, Germany, open access, 2017

  5.    

    J. Reermann, C. Bald, S. Salzer, P. Durdaut, A. Piorra, D. Meyners, E. Quandt, M. Höft, and G. Schmidt: Comparison of Reference Sensors for Noise Cancellation of Magnetoelectric Sensors, IEEE Sensors 2016, Orlando, November 2016

 

Poster

  1.    

    C. Bald, E. Elzenheimer, J. Kreisel, N. Simoski, A. Namenas, J. Reermann, T. Demming, N. Frey, G. Schmidt: Magnetocardiography with Optically Pumped Magnetometers Integrated in a Patient Bed, BMT Frankfurt, September 2019