Paper Info
Title
Adaptive filters for the suppression of tremor
Abstract
Intention tremor severely compromises everyday life tasks in patients suffering by Multiple Sclerosis or Parkinson's disease. The present paper reports the current achievements in the analysis of subjects' movements. The trajectories produced by patients affected by tremor are investigated. Indexing procedures for the evaluation of the tremor which is present in the trajectories are proposed. Such indexes should be sensitive to tremor while they are not to ordinary movements. The properties of the indexes have been verified both with analytical considerations and with numerical tests. An experimental setup has been realized for the analysis of tremor on patients affected by Multiple Sclerosis tremor. The data collected within this experiment have been compared with expected results. Furthermore the indexing procedure has been applied for the evaluation of a filtering system. The case of handwriting has been chosen as reference task for the evaluation of achieved results. The results on clinical tests will be presented. Finally the applicability of the index-based procedures to the control of filtering systems will be discussed. The control architecture in the case of force-feedback less interfaces as well as haptic interfaces will be pressented and discussed.
Year
DOI
Venue
2000
10.1109/ICSMC.2000.886371
IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
Keywords
Field
DocType
tremor,multiple sclerosis,filtering,haptic interfaces,motion analysis,performance indexes
Clinical tests,Intention tremor,Handwriting,Computer science,Search engine indexing,Adaptive filter,Artificial intelligence,Control system,Haptic technology,Simulation,Filter (signal processing),Speech recognition,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
1
0.63
References 
Authors
0
4
Name
Order
Citations
PageRank
Carlo Alberto Avizzano119636.19
Federico Barbagli256148.21
Massimo Bergamasco347573.59
Peter Feys4175.23