Die Zukunft in der Diagnostik des sensorischen Nervensystem: welchen Vorteil bringen moderne neurophysiologische Messverfahren?

PD Dr. med. Philipp Hüllemann, University Hospital Schleswig-Holstein, Department of Neurology

Details

  • Date: 29.04.2019
  • Time: 17:00 h
  • Place: Faculty Club, Building C, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

Abstract (in German)

Das somatosensorische Nervensystem ist in der Lage verschiedene Empfindungen über unterschiedliche Rezeptoren auf unterschiedlichen Nervenfasern weiterzuleiten, welche im Gehirn dekodiert und interpretiert werden. Entsprechend wird eine Berührung über dick myelinisierte A-Beta-Fasern übermittelt, ein Kaltreiz über dünn myelinisierte Kälte-leitende A-delta-Fasern, Hitzereize über Hitze-sensitive dünn myelinsierte A-delta-Fasern (AMH II), mechanische Reize/-Schmerzreize über mechano-sensitive dünn myelinisierte A-delta-Fasern (AMH I) und Wärmereize über nicht myelinisierte langsam leitende C-fasern. Die zentrale Verarbeitung dieser unterschiedlichen Empfindungen findet in Thalamus, somatosensorischem Kortex, präfrontalem Kortex, cingulärem Kortex, und anderen Teilen des limbischen Systems statt.

In den letzten Jahren wurden unterschiedliche elektrophysiologische Verfahren entwickelt, um jede einzelne Nervenfaserfunktion objektiv zu messen. Einige dieser Verfahren wie beispielsweise die somatosensorisch evozierten Potentiale zur Messung der Berührungsfasern oder die Laser evozierten Potentiale zur Messung der Hitzefasern werden bereits in der klinischen Routinediagnostik angewendet. Andere Verfahren wie beispielsweise die Wärme-, Kälte- oder Pinprick-evozierten Potentiale werden bisher ausschließlich in Forschungslaboren zum Verständnis unterschiedlicher Nervenfaserfunktionen eingesetzt.

Bisher wird in der klinischen Routinediagnostik das sensorische Nervensystem durch Ableitung somatosensorischer Potentiale im EEG gemessen. Dabei werden die Nervenfasern durch Stromimpulse erregt. Das Verfahren zeigt teilweise nicht-reproduzierbare Befunde, zudem können ausschließlich Aussagen über die Integrität der A-beta-Fasern (Berührungsfasern) getroffen werden, welche nur 20% des sensorischen Nervensystems ausmachen. Das schmerzleitende System (A-delta- und C-fasern) kann mit der Routinediagnostik nicht gemessen werden.

Durch neuere technische Entwicklungen können inzwischen alle klinisch relevanten sensorischen Modalitäten wie Vibration, Berührung, Pinprick (spitze Nadelreize), Hitze, Wärme und Kälte durch Stimulus-Synchronisation mit dem EEG in Form evozierter Potentiale abgebildet werden. Somit kann zum einen die Integrität des Hinterstrangsystem und des spinothalamischen Systems, zum anderen die Funktion der dick-, dünn- und unmyelinisierten Nervenfasern objektiv gemessen werden. Das sensorische Profil kann sowohl zur Phänotypisierung für klinische Studien genutzt werden als auch in der klinischen Routine wertvolle diagnostische Hinweise liefern.

Speech Analysis for the Automatic Detection and Monitoring of Parkinson's Disease

Prof. Dr. Juan Rafael Orozco-Arroyave, University of Antioquia, Colombia

Details

  • Date: 23.09.2019
  • Time: 10:00 h
  • Place: Aquarium, Building D, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

 

Abstract

Parkinson's diseae (PD) is second most common neurodegenerative disorder worldwide. It affects the control of muscles and limbs in the body and typically has negative impact on the speech production. Other motor activities like handwriting and gait are also affected. This talk will start with a general description of several neurodegenerative disorders including PD, Alzheimer's, and Aphasia. Typical speech disorders suffered by PD patients will be discussed and a methodology to automatically model those symptoms is also introduced. The suitability of such a methodology for the automatic detection and monitoring of PD is also discussed. In the final part of the talk, an extension of the methodology is presented considering other bio signals like handwriting and gait

 

Short CV

Juan Rafael Orozco-Arroyave was born in Medellín, Colombia in 1981. He is Electronics Engineer from the University of Antioquia (2004). From 2004 to 2009 he was working for a telco company in Medellín, Colombia. In 2011 he finished the MSc. degree in Telecommunications from the Unversidad de Antioquia. In 2015 he finished the PhD in Computer Science in a double degree program between the University of Erlangen (Germany) and the University of Antioquia (Colombia). Currently Juan Rafael Orozco-Arroyave is associate Professor at the University of Antioquia and adjunct researcher at the Pattern Recognition Lab at the University of Erlangen.

Nonlinear Echo Suppression

Ingo Schalk-Schupp, Nuance Communications, Ulm, Germany

Details

  • Date: 10.04.2017
  • Time: 17:15 h
  • Place: Aquarium, Building D, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

 

Abstract

This presentation provides a short overview concerning acoustic echo cancellation and acoustic echo suppression methods followed by a more in-depth discussion of new methods dealing with Hammerstein-type nonlinear distortions.

The Hammerstein system is divided into a linear and a parallel nonlinear part by an alternative way to define of the linear one. The implications of this separation definition and its relation to linear acoustic echo cancellation are illuminated.

Based on this approach, and assuming a converged linear echo canceller, a suppression approach for nonlinearly distorted acoustic echo signal components is introduced, the essential component of which is the nonlinear echo power spectral density estimation, which depends on one unknown real scalar parameter.

Subsequently, an identification algorithm for said parameter is presented, which results in a usable nonlinear echo suppressor still under the assumption of a converged linear echo canceller. Moreover, a generic comprehensive evaluation method for suppressor-type algorithms is advertised.

Finally, the challenge of concurrently adaptive linear echo canceller and nonlinear echo suppressor is analyzed and a solution for a full system is presented. After listening to several audio examples, the audience is invited to discuss the presentation’s contents.

 

Short biography

Ingo Schalk-Schupp studied systems engineering and technical cybernetics at Otto von Guericke University in Magdeburg, Germany. He graduated as a diploma engineer (Diplomingenieur) in 2012 with a diploma thesis titled “Speech Signal Enhancement in Automotive Environments” composed at Nuance Communications in Ulm, Germany. The thesis comprised two patent applications and was granted the best thesis award by the “Magdeburger Kybernetiker e.V.” Since 2012, he has been a PhD student with Nuance in Ulm and is supervised by Professor Andreas Wendemuth, Chair of Cognitive Systems at Otto von Guericke University Magdeburg. This presentation reflects the author’s findings from his PhD research.

25 Years of Audio Coding: How We Arrived at Audio Playback on iPhone and its Underlying Technology

Dr. Akihiko (Ken) Sugiyama

Details

  • Date: 06.12.2016
  • Time: 17:15 h
  • Place: Aquarium, Building D, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

 

Abstract

This lecture presents the 25-year history of audio coding technology. Focusing on MPEG Audio Coding that is the most widely used international standard in our daily life, some im-portant techniques we contributed are explained along the history. Recent standardization activities are briefly touched to show the unlimited potential of audio coding. An encounter of the Silicon Audio, developed in 1994 and the real ancestor of iPod, is the highlight of this lecture, which cannot be experienced elsewhere. The audience will see how iPod started its function 20 years ago.

 

Short biography

Akihiko Sugiyama (a.k.a. Ken Sugiyama), affiliated with NEC Data Science Research Labs., has been engaged in a wide variety of research projects in signal processing such as audio coding and interference/noise control. His team developed the world's first Silicon Audio in 1994, the ancestor of iPod. He served as Chair of Audio and Acoustic Signal Processing Tech. Committee, IEEE Signal Processing Society (SPS) [2011-2012], as associate editors for several jour-nals such as IEEE Trans. SP [1994-1996], as the Secretary and a Member at Large to the Con-ference Board of SPS [2010-2011], as a member of the Awards Board of SPS [2015], and as the Chair of Japan Chapter of SPS [2010-2011]. He was a Technical Program Chair for ICASSP2012. He has contributed to 16 chapters of books and is the inventor of over 150 registered patents with more pending applications in the field of signal processing in Japan and overseas. He received 13 awards such as the 2002 IEICE Best Paper Award, the 2006 IEICE Achievement Award, and the 2013 Ichimura Industry Award. He is Fellow of IEEE and IEICE, and a Distinguished Lecturer in 2014 and 2015 for IEEE SPS. He is also known as a big host for a total of over 70 internship students.

Physiology of Peripheral Nerve Conduction from a Signal Analysis Point of View

Prof. Dr. med. Wilhelm Schulte-Mattler, Neurologische Klinik und Poliklinik, Universität Regensburg

Details

  • Date: 14.09.2017
  • Time: 17:00 h
  • Place: Aquarium, Building D, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

 

German title

Physiologie peripherer Nerven aus Sicht der Signalverarbeitung

 

Abstract

To transmit information, peripheral nerve fibers locally change their electrical membrane properties. The changed regions move along the fibers causing traveling electrical fields, causing changes in voltage over time that depend both on where the voltage is recorded and on the nerve’s properties. Things are complicated by the nerves being composed of many thousands of fibers.

A simple model that explains these voltage changes, namely the signals that are recorded from actively transmitting nerves, will be presented. These signals provide information about the nerve’s function. Both, the influence of the recording conditions and the influence of various nerve disorders on the recorded waveforms will be presented. The usefulness of simple measures, such as amplitude and duration, is established. More advanced signal analysis indeed provides more information about peripheral nerve disorders.

 

Short biography

Wilhelm Schulte-Mattler studied Mathematics and Physics, followed by Medicine. He graduated at the University of Würzburg in 1988. His thesis was on Quantification of recruitment in needle-EMG. He specialized in Neurology in 1993. After heading Clinical Neurophysiology in the Dept. of Neurology, University of Halle-Wittenberg; since the year 2000, he is head of Clinical Neurophysiology in the Dept. of Neurology, University of Regensburg. A significant part of his work is on waveform analysis in clinical neurophysiology, particularly in electromyography and in electroneurography.

Website News

07.08.2019: Talk from Juan Rafael Orozco-Arroyave added.

11.07.2019: First free KiRAT version released - a game for Parkinson patients

25.06.2019: About 30 pupils from the Isarnwohld-Schule in Gettorf visited us.

02.05.2019: Christin Baasch finished sucessfully her defense on the evaluation of Parkinson speech.

30.11.2018: New student project on driver distraction added.

Recent Publications

   

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

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

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