Medical Signal Processing

   
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To measure signals of the heart or the brain with a high temporal resolution, usually electrical based measurement types as Electrocardiography (ECG) resp. Electroencephalography (EEG) or magnetic based measurement types as Magnetocardiography (MCG) resp. Magnetoencephalography (MEG) are used. Since both types of measurements have their advantages and disadvantages both methods should be used for clinical diagnosis. Unfortunately, the operation of suitable super-conducting quantum interference devices (SQUIDs) for magnetic based measurements is in general very expensive.

In order to provide an alternative, sensors have been developed based on the ME-effect in recent years in the collaborative research groups at Kiel University. These sensors have the potential to be an appropriate alternative to SQUIDs. Unfortunately, these sensors also record mechanical vibrations, whereby the desired signals are often superimposed by unwanted signal components. To reduce this effect, an adaptive cancellation approach using non-magnetic noise reference sensors is realized by us. This approach is realized in real-time using our own tool (for details see here).

These sensors are utilized for magnetoneurography analysis. This approach provides an alternative and also very attractive technology to the electrode-based nerve conduction studies called Electroneurography. The main objective of this modern technique is to optimize the diagnostic specificity of neuropathies by developing a spatially continuous scanning of nerves with a magnetic field sensor. This approach will increase and also combine the spatial resolution and functional information. In summary, this will further improve the treatment.

Furthermore, we work on brain-computer interfaces (right now based on pure electrical interfaces, but hopefully soon also using magneto-electric sensors). On the picture on the right you see one of our brain-computer interfaces that is used for controlling a TV set (beside the brain modality also speech can be used for controlling the device).

Finally we also research on the analysis of Parkinson speech. Morbus Parkinson is a wide spread disease especially in the age group above 50 years. Besides several motor disorders also speech disorders accompany this disease. The dysarthria expresses itself, among other symptoms, by a too low speech level and a mumbling voice. Probably due to a perception disorder, the patients do not realize their dysfunction in speech production. The investigation of the efficacy of these therapies has been and is still a very interesting research topic. In contrast, not yet established is the investigation of the origin and location of the problem in speech production. This would help to adapt the speech therapy to the specific needs of the individual patient. This can be realized by an evaluation of the patient’s speech using technical measures. Further, these measures can be used instead of auditive assessments to classify the severity of the patients dysarthria. The goal is the development of a tool that is capable to perform such analyses. It includes the recording equipment that is needed to make reliable recordings of the patients, as well as a recording environment, implemented in a real-time signal processing toolkit, measures to evaluate the speech disorder, and, finally, the verification of the selected measures.

Details about the projects can be found on the links below:

 

Corresponding Publications:

   

P. Weede, P.D. Smietana, G. Kuhlenbäumer, G. Deuschl, G. Schmidt: Two-Stage Convolutional Neural Network for Classification of Movement Patterns in Tremor Patients, Information, 15(4): 231, 2024, doi: https://doi.org/10.3390/info15040231

   

M. J. Finck, K. Krüger, A. Helmers, S. Paschen, G. Schmidt: Analyzing Impaired Speech in Context of Magnetic Resonance-guided Focused Ultrasound Using Convolutional Neural Networks, Proc. DAGA, Hannover, Germany, 2024

   

I. S. Schiller, K. Krüger, P. Weede, M. Sopha and G. Schmidt: Real-Time Modification of Voice Quality using VQ-Synth: Exploring Our Perception of Acoustic Voice Perturbations,  Proc. DAGA, Hannover, Germany, 2024

   

I. S. Schiller, K. Krüger, F. Bin Ismail, S. J. Schittmeier and G. Schmidt: Voice Quality Alteration and Its Potential Implications for Voice Therapy, Acoustics 23, Sydney, Australia, 2023

   

R. Romijnders, F. Salis, C. Hansen, ..., G. Schmidt, W. Maetzler on behalf of Mobilise-D Consortium: Ecological Validity of a Deep Learning Algorithm to Detect Gait Events from Real-Life Walking Bouts in Mobility-Limiting Diseases, Frontiers in Neurology, Oct 2023, doi: 10.3389/fneur.2023.1247532

   

J. Hoffmann, C. Bald, T. Schmidt, M. Boueke, E. Engelhardt, K. Krüger, E. Elzenheimer, C. Hansen, W. Maetzler, G. Schmidt: Designing and Validating Magnetic Motion Sensing Approaches with a Real-time Simulation Pipeline, Current Directions in Biomedical Engineering, vol. 9, no. 1, 2023, pp. 455-458, doi: 10.1515/cdbme-2023-1114

   

M. Boueke, J. Hoffmann, T. Schmidt, C. Bald, R. Bergholz, G. Schmidt: Model-based Tracking of Magnetic Sensor Gloves in Real Time, Current Directions in Biomedical Engineering, vol. 9, no. 1, 2023, pp. 85-88, doi: 10.1515/cdbme-2023-1022 , open access

   

T. Schmidt, J. Hoffmann, L. Klinkenbusch, R. Bergholz and G. Schmidt: An Iterative Algorithm for Magnetic Motion Tracking, Biomedical Engineering / Biomedizinische Technik, Volume 68, Number 4, 2023

   

J. Hoffmann, S. Roldan-Vasco, K. Krüger, F. Niekiel, C. Hansen, W. Maetzler, J. Orozco-Arroyave, G. Schmidt: Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators, Sensors 2023, 23(7), 3594, doi: 10.3390/s23073594, open access

   

P. Fuchs, K. Krüger, G. Schmidt: Parkinson’s Disease Speech Analysis – Machine-Learning-based Evaluation of Speech Impairments, Proc. DAGA, Hamburg, Germany, 2023

   

E. Elzenheimer, P. Hayes, L. Thormählen, E. Engelhardt, A. Zaman, E. Quandt, N. Frey, M. Höft, G. Schmidt: Investigation of Converse Magnetoelectric Thin Film Sensors for Magnetocardiography, IEEE Sensors Journal, Volume 23, Number 6, Pages 5660-5669, March 2023, doi: 10.1109/JSEN.2023.3237910

   

C. Hansen, B. Chebil, J. Cockroft, E. Bianchini, R. Romijnders, W. Maetzler: Changes in Coordination and Its Variability with an Increase in Functional Performance of the Lower Extremities, Biosensors, Jan 2023, doi: 10.3390/bios13020156

   

S. Paschen, C. Hansen, J. Welzel, J. Albrecht, A. Atrsaei, K. Aminian, K.E. Zeuner, R. Romijnders, E. Warmerdam, P.P. Urban, D. Berg, W. Maetzler: Effect of Lower Limb vs. Abdominal Compression on Mobility in Orthostatic Hypotension: A Single-Blinded, Randomized, Controlled, Cross-Over Pilot Study in Parkinson’s Disease, Journal of Parkinson's Disease, Dec 2022, doi: 10.3233/JPD-223406

   

H. Wang, J. Arbustini, E. Elzenheimer, V. Schell, M. Höft, E. Quandt, G. Schmidt, H. Heidari, A. Bahr: Study of Chopping Magnetic Flux Modulation on Surface Acoustic Wave Based Magnetic Sensor, 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2022, pp. 1-4, doi: 10.1109/ICECS202256217.2022.9970973

   

J. Muñoz, J. Arbustini, E. Elzenheimer, M. Höft, A. Bahr: Digital Approaches on Frequency Tuning for Magnetoelectric Sensors, 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2022, pp. 1-4, doi: 10.1109/ICECS202256217.2022.9970973

   

E. Engelhardt, A. Zaman, E. Elzenheimer, N. Frey, G. Schmidt: Towards Analytically Computable Quality Classes for MCG Sensor Systems, Current Directions in Biomedical Engineering, vol. 8, no. 2, 2022, pp. 691-694, doi: 10.1515/cdbme-2022-1176, open access

   

J. Winter, K. Krüger, P. Piepjohn, G. Schmidt: Objective Measures for Speech Evaluation, Biosignale Workshop, 2022, Dresden, Germany

   

R. Romijnders, E. Warmerdam, C. Hansen, G. Schmidt, W. Maetzler: A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts, Sensors, May 2022, doi: 10.3390/s22103859

   

J. Hoffmann, C. Hansen, W. Maetzler, G. Schmidt: A Concept for 6D Motion Sensing with Magnetoelectric Sensors, Current Directions in Biomedical Engineering, vol. 8, no. 2, 451-454, 2022, doi: 10.1515/cdbme-2022-1115, open access

   

E. Elzenheimer: Analyse stimulationsevozierter Muskel- und Nervensignale mithilfe elektrischer und magnetischer Sensorik, Reihe: Arbeiten über digitale Signalverarbeitung und Systemtheorie, Shaker Verlag, Düren, 2022, ISBN: 978-3-8440-8515-0

   

C.Hansen, C. Ortlieb, R. Romijnders, E. Warmerdam, J. Welzel, J. Geritz, W. Maetzler: Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases, Sensors, March 2022, doi: 10.3390/s22062304

   

P. Piepjohn, C. Bald, G. Kuhlenbäumer, J.S. Becktepe, G. Deuschl, G. Schmidt: Real-time classification of movement patterns of tremor patients, Biomedical Engineering / Biomedizinische Technik, vol. 67, no. 2, 2022, pp. 119-130. doi: https://doi.org/10.1515/bmt-2021-0140

   

J. Hoffmann, E. Elzenheimer, C. Bald, C. Hansen, W. Maetzler, G. Schmidt: Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup, Sensors 2021, 21(23), 8000, doi: 10.3390/s21238000, open access

   

E. Warmerdam, R. Romijnders, C. Hansen, M. Elshehabi, M. Zimmerman, F. Metzger, A.-K. von Thaler, D. Berg, G. Schmidt, W. Maetzler: Arm swing responsiveness to dopaminergic medication in Parkinson’s disease depends on task complexity, npj Parkinson's Disease, October 2021, doi: 10.1038/s41531-021-00235-1

   

C. Bald, G. Schmidt: Processing Chain for Localization of Magnetoelectric Sensors in Real Time. Sensors 2021, 21, 5675. DOI: doi.org/10.3390/s21165675

   

E. Warmerdam, R. Romijnders, J. Geritz, M. Elshehabi, C. Maetzler, J. C. Otto, M. Reimer, K. Stuerner, R. Baron, S. Paschen, T. Beyer, D. Dopcke, T. Eiken, H. Ortmann, F. Peters, F. von der Recke, M. Riesen, G. Rohwedder, A. Schaade, M. Schumacher, A. Sondermann, W. Maetzler, C. Hansen: Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol, Sensors, August 2021, doi: 10.3390/s21175833

   

R. Romijnders, E. Warmerdam, C.Hansen, J. Welzel, G. Schmidt, W. Maetzler: Validation of IMU-Based Gait Event Detection During Curved Walking and Turning in Older Adults and Parkinson’s Disease Patients, Journal of NeuroEngineering and Rehabilitation, February 2021, doi: 10.1186/s12984-021-00828-0

   

A. Pilotto, M. Rizzetti, A. Lombardi, C. Hansen, M. Biggi, G. Verzeroli, A. Martinelli, R. Romijnders, B. Borroni, W. Maetzler, A. Padovani: Cerebellar rTMS in PSP: a Double-Blind Sham-Controlled Study Using Mobile Health Technology, The Cerebellum, February 2021, doi: 10.1007/s12311-021-01239-6

   

E. Warmerdam, R. Romijnders, J. Welzel, C. Hansen, G. Schmidt, W. Maetzler: Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation, Sensors, October 2020, doi: 10.3390/s20205963

   

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

   

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

   

R. Romijnders, C. Hansen, G. Schmidt, W. Maetzler: Detection of Walking Bouts from Low Back Accelerometry in a Home-Like Assessment, Biosignale Workshop, 2020, Kiel, Germany

   

Y. Zhou, R. Romijnders, C. Hansen, J. van Campen, W. Maetzler, T. Hortobagyi, C. Lamoth: The detection of age groups by dynamic gait outcomes using machine learning approaches, Scientific Reports, March 2020, doi: 10.1038/s41598-020-61423-2

   

E. Warmerdam, R. Romijnders, F. Marin, G. Schmidt, W. Maetzler: Quantification of arm swing during walking, Biosignale Workshop, 2020, Kiel, Germany

   

J. Hoffmann, E. Elzenheimer, C. Bald, C. Hansen, W. Maetzler, G. Schmidt: Magnetoelektrische Sensoren zur Bewegungsdetektion und -analyse, Biosignale Workshop, 2020, Kiel, Germany

   

E. Warmerdam, J. M. Hausdorff, A. Atrsaei, Y. Zhou, A. Mirelman, K. Aminian, A. J. Espay, C. Hansen, L. J. W. Evers, A. Keller, C. Lamoth, A. Pilotto, L. Rochester, G. Schmidt, B. R. Bloem, W. Maetzler: Long-term Unsupervised Mobility Assessment in Movement Disorders, The Lancet Neurology, February 2020, doi: 10.1016/ S1474-4422(19)30397-7

   

E. Elzenheimer, H. Laufs, W. Schulte-Mattler, G. Schmidt: Magnetic Measurement of Electrically Evoked Muscle Responses with Optically Pumped Magnetometers, IEEE Transactions on Neural Systems and Rehabilitation Engineering, January 2020, doi: 10.1109/TNSRE.2020.2968148

   

E. Elzenheimer, H. Laufs, W. Schulte-Mattler, G. Schmidt: Signal Modeling and Simulation of Temporal Dispersion and Conduction Block in Motor Nerves, IEEE Transactions on Biomedical Engineering, November 2019, doi: 10.1109/TBME.2019.2954592

   

E. Elzenheimer, H. Laufs, W. Schulte-Mattler, G. Schmidt: Magnetic Measurement of Electrically Evoked Muscle Responses with Optically Pumped Magnetometers (OPMs), New opportunities in biomagnetism using OPMs, Biomedical Engineering / Biomedizinische Technik, 64, 39 (2019), doi: 10.1515/bmt-2019-6008

   

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

   

H. Falk, F. Hopfner, P. Wiegand, P. Piepjohn, G. Schmidt, G. Deuschl, G. Kuhlenbäumer: Sind Smartphones zur akzelerometrischen Messung von Tremores geeignet?, DGN Stuttgart, September 2019

   

J. Reermann, E. Elzenheimer and G. Schmidt: Real-time Biomagnetic Signal Processing for Uncooled Magnetometers in Cardiology, IEEE Sensors Journal, Volume 15, Number 10, Pages 4237-4249, June 2019, doi: 10.1109/JSEN.2019.2893236

   

A. Baumann, A. Nebel, O. Granert, K. Giehl, S. Wolff, W. Schmidt, C. Baasch, G. Schmidt, K. Witt, G. Deuschel, G. Hartwigsen, K. Zeuner, T. van Eimeren: Neural Correlates of Hypokinetic Dysarthria and Mechanisms of Effective Voice Treatment in Parkinson Disease, Neurorehabilitation and neural repair, Vol. 32, Nov. 2018

   

E. Elzenheimer, H. Laufs, T. Sander-Thömmes, G. Schmidt: Magnetoneurograhy of an Electrically Stimulated Arm Nerve, Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials, Volume 63, Number 12, Pages 363-366, September 2018

   

E. Warmerdam, M. H. Pham, C. Hansen, W. Maetzler: P 130—The Influence of Different Settings on Accuracies of Gait Algorithms,  Poster,  Gait and Posture, 2018

   

M. H. Pham, E. Warmerdam, M. Elshehabi, C. Schlenstedt, L. Bergeest, M. Heller, L. Haertner, J. J. Ferreira, D. Berg, G. Schmidt, C. Hansen, W. Maetzler: Validation of a Lower Back “Wearable”-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson’s Disease and Older Adults in a Home-Like Environment, Front. Neurol., 2018 (doi: 10.3389/fneur.2018.00652)

   

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

   

E. Elzenheimer, F. Weitkamp, H. Laufs, T. Sander-Thömmes, G. Schmidt: Magnetoneurografie eines elektrisch stimulierten Armnervs, Biosignale Workshop, 2018, Erfurt, Germany

   

F. Weitkamp, E. Elzenheimer, W. Schulte-Mattler, G. Schmidt, H. Laufs: Multimodal Mapping of Nerve Pathology with a Multichannel Approach, DGKN, 2018, Berlin, Germany

   

F. Spitz, C. Baasch, G. Schmidt, U. Heute, A. Nebel, G. Deuschl: Hörgeräte-basierte Parkinson-Sprachanalyse, Proc. DAGA, Germany, 2018

   

L. Haertner, M. Elshehabi, L. Zaunbrecher, M. H. Pham, C. Maetzler, J. M. T. van Uem, M. A. Hobert, S. Hucker, S. Nussbaum, D. Berg, I. Liepelt-Scarfone, W. Maetzler: Effect of Fear of Falling on Turning Performance in Parkinson’s Disease in the Lab and at Home, Front. Aging Neurosci., 10:78, 2018 (doi: 10.3389/fnagi.2018.00078)

   

S. Kratzenstein, E. Elzenheimer, E. Suresh, G. Schmidt: Automatische Verfahren zur Bestimmung des neuromuskulären Aktivitätsbeginns in Anhängigkeit von der Signalqualität, GAMMA, Hamburg, Germany

   

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, https://doi.org/­10.1016/­j.measurement.2017.09.047, 2017

   

M. H. Pham, M. Elshehabi, L. Haertner, S. D. Din, K. Srulijes, T. Heger, M. Synofzik, M. A. Hobert, G. S. Faber, C. Hansen, D. Salkovic, J. J. Ferreira, D. Berg, A. Sanchez-Ferro, J. H. van Dieën, C. Becker, L. Rochester, G. Schmidt, and W. Maetzler: Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back, Front. Neurol. 8:457, 2017 (doi: 10.3389/fneur.2017.00457)

   

M. H. Pham, M. Elshehabi, W. Maetzler: Validation of Gait Detection and Analysis, Proc. EMBC, Jeju, Korea, 2017

   

P. Durdaut, J. Reermann, S. Zabel, Ch. Kirchhof, E. Quandt, F. Faupel, G. Schmidt, R. Knöchel, and M. Höft: Modeling and Analysis of Noises Sources for Thin-Film Magnetoekctric Sensors Based on the Delta-E Effect, IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 10, pp. 2771 - 2779, Oct. 2017

   

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, J. McCord, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, and M. Höft: Improved Magnetic Frequency Conversion Approach for Magnetoelectric Sensors, IEEE Sensors Letters, published online, 2017

   

M. H. Pham, M. Elshehabi, L. Haertner, T. Heger, M. A. Hobert, G. S. Faber, D. Salkovic, J. J. Ferreira, D. Berg, A. Sanchez-Ferro, J. H. van Dieën, W. Maetzler: Algorithm for Turning Detection and Analysis Validated under Home-Like Conditions in Patients with Parkinson’s Disease and Older Adults using a 6 Degree-of-Freedom Inertial Measurement Unit at the Lower Back, Front. Neurol. 8:135, 2017 (doi: 10.3389/fneur.2017.00135)

   

C. Baasch, G. Schmidt, U. Heute, A. Nebel, and G. Deuschl: Parkinson-Sprachanalyse - Erweiterungen zum Qualitätsmerkmal Formantdreieck, Proc. DAGA, Kiel, Germany, open access, 2017

   

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

   

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, P. Hayes, A. Piorra, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, M. Höft: Thermal-Mechanical Noise in Resonant Thin-Film Magnetoelectric Sensors, IEEE Sensors Journal, published online, 2017

   

V. Röbisch, S. Salzer, N. O. Urs,  J. Reermann, E. Yara, A. Piorra, C. Kirchhof, E. Lage, M. Höft, G. Schmidt, R. Knöchel, J. McCord, E. Quandt, and D. Meyners: Pushing the Detection Limit of Thin Film Magnetoelectric Heterostructures, Journal of Materials Research, published online, 2017

   

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

   

C. Baasch, G. Schmidt, U. Heute, A. Nebel, G. Deuschl: Parkinson-Speech Analysis: Methods and Aims, ITG Speech, October 2016

   

P. Caldero-Bardaji, X. Longfei, S. Jaschke, J. Reermann, K.G. Mideska, G. Schmidt, G. Deuschl, M. Muthuraman: Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis, EMBC 2016, Orlando, August 2016

   

J. Reermann, S. Zabel, Ch. Kirchhof, E. Quandt, F. Faupel, G. Schmidt: Adaptive Readout Schemes for Thin-Film Magnetoelectric Sensors Based on the delta-E Effect, IEEE Sensors Journal, Volume 16, Number 12, Pages 4891-4900, June 2016

   

S. Zabel, J. Reermann, S. Fichtner, C. Kirchhof, E. Quandt, B. Wagner, G. Schmidt, and F. Faupel: Multimode Delta-E Effect Magnetic Field Sensors with Adapted Electrodes, Applied Physics Letter, Volume 108, Number 22, 2016

   

C. Baasch, W. Schmidt, G. Schmidt, U. Heute, A. Baumann, A. Nebel, G. Deuschl, T. von Eimeren: Stimmtherapie für Parkinsonsprache: Akustische Analyse der Wirksamkeit, ESSV 2016, Leipzig, Germany

   

P. Hayes, S. Salzer, J. Reermann, E. Yarar, V. Röbisch, A. Piorra, D. Meyners, M. Höft, R. Knöchel, G. Schmidt, E. Quandt: Electrically Modulated Magnetoelectric Sensors, Applied Physics Letters, Volume 108, Number 18, 2016

   

S. Salzer, R. Jahns, A. Piorra, I. Teliban, J. Reermann, M. Höft, E. Quandt, R. Knöchel: Tuning Fork for Noise Suppression in Magnetoelectric Sensors, Sensors and Actuators A: Physical, Volume 237, Pages 91-95, January 2016

   

J. Reermann, G. Schmidt, I. Teliban, S. Salzer, M. Höft, R. Knöchel, A. Piorra, E. Quandt: Adaptive Acoustic Noise Cancellation for Magnetoelectric Sensors, IEEE Sensors Journal, Volume 15, Number 10, Pages 5804-5812, October 2015

   

J. Reermann, G. Schmidt, S. Zabel, F. Faupel: Adaptive Multi-mode Combination for Magnetoelectric Sensors Based on the delta-E Effect, Procedia Engineering, Eurosensors 2015, Volume 120, Pages 536-539, September 2015

   

A. Baumann, G. Hartwigsen, A. Nebel, S. Wolff, W. Schmidt, C. Baasch, G. Schmidt, G. Deuschl, K. E. Zeuner, and T. van Eimeren: Neural effects of Lee Silvermann Voice Treatment in Parkinson`s disease (Poster), Congress of the European Academy of Neurology, 2015, Berlin, Germany

   

K. G. Mideksa, A. Santillan-Guzman, N. Japaridze, A. Galka, U. Stephani, G. Deuschl, U. Heute, M. Muthuraman: Validating the Effect of Muscle Artifact Suppression in Localizing Focal Epilepsy, Proc. EMBC 2014, IEEE-EMBS, Chicago, USA, 2014

   

K. G. Mideksa, N. Hoogenboom, H. Hellriegel, H. Krause, A. Schnitzler, G. Deuschl, J. Raethjen, U. Heute, M. Muthuraman: Impact of Head Modeling and Sensor Types in Localizing Human Gamma-band Oscillations , Proc. EMBC 2014, IEEE-EMBS, Chicago, USA, 2014

   

U. Heute, A. Santillán Guzmán: Removing "Cleaned" Eye-blinking Artifacts from EEG Measurement, Proc. SPIN '14, 2014, Delhi, India

   

F. Hinterleitner, C. R. Norrenbrock, S. Möller, U. Heute: Predicting the Quality of Text-To-Speech Systems from a Large-Scale Feature Set, Proc. Interspeech, Lyon, France, 2013

   

K. G. Mideksa, A. Khan, G. Deuschl, U. Heute, M. Muthuraman: Dipole Source Analysis for Identifying the Location of Deep Brain Stimulation Electrodes in Parkinson's Patients, Proc. EMBC 2013, JSMBE-EMBS, Osaka, Japan, 2013

   

K. G. Mideksa,H. Hellriegel, N. Hoogenboom, H. Krause, A. Schnitzler, G. Deuschl, J. Raethjen, U. Heute, M. Muthuraman: Dipole Source Analysis for Readiness Potential and Field using Simultaneously Measured EEG and MEG Signals, Proc. EMBC 2013, IEEE-EMBS, Osaka, Japan, 2013

   

A. Santillán Guzmán, U. Heute, M. Muthuraman, U. Stephani, and A. Galka: DBS Artifact Suppression using a Time-frequency Domain Filter, Proc. EMBC 2013, IEEE-EMBS, Osaka, Japan, 2013

   

A. Santillán Guzmán, M. Fischer, U. Heute, and G. Schmidt: Real-time Empirical Mode Decomposition for EEG Signal Enhancement, Proc. EUSIPCO 2013, Marrakesh, Morocco, 2013

   

A. Santillán Guzmán, U. Heute, U. Stephani, H. Muhle, and A. Galka: Hybrid Filter for Removing Power-supply Artifacts from EEG Signals, Proc. BioMed 2013, IAESTED, Innsbruck, Austria, 2013

   

A. Santillán Guzmán, A. Galka, U.Heute, U. Stephani: Application of State-Space Modeling to Instantaneous Independent Component Analysis, Proc. IEEE International Conference on Biomedical Engineering and Informatics 2011, Shanghai, China, 2011

   

K. Seget, A. Schulz, U. Heute: Maneuver-Adaptive Multi-Hypothesis Tracking for Active Sonar Systems, Proc. IEEE ISIF GI Workshop Sensor Data Fusion 2010, Leipzig, Germany, 2010