Diagnosis and monitoring of ulnar nerve lesions

  • Jürgen Rahmel
  • Christian Blum
  • Peter Hahn
  • Björn Krapohl
Diagnostic Problem Solving
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)


In this paper we introduce a novel approach for diagnosis and monitoring of ulnar nerve lesions, affecting the coordination of movement of the ring and little finger of the human hand. Based on data generated by ultrasound measurements, we developed suitable preprocessing methods for automatic extraction of relevant features from the movement pattern to be examined. The partial absence of class information even for the pattern in the training set requires the use of unsupervised methods for the learning and class assignment procedures. For that reason, we use a new dynamic and hierarchic neural network for the analysis of the generated pattern vectors. The dynamically structured architecture of the network satisfies the special needs of this medical task, such as providing variable levels of generalization and efficient retrieval of similar cases.


Movement Pattern Ulnar Nerve Finger Movement Topological Defect Class Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jürgen Rahmel
    • 1
  • Christian Blum
    • 1
  • Peter Hahn
    • 2
  • Björn Krapohl
    • 2
  1. 1.Centre for Learning Systems and ApplicationsUniversity of KaiserslauternKaiserslauternGermany
  2. 2.Neustadt Hand CentreBad NeustadtGermany

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