Paper
2 March 2001 Suppression of tremor: guidelines and algorithms
Carlo Alberto Avizzano, Massimo Bergamasco, Giuseppe Docile, Peter Feys
Author Affiliations +
Proceedings Volume 4195, Mobile Robots XV and Telemanipulator and Telepresence Technologies VII; (2001) https://doi.org/10.1117/12.417318
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
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 voluntary 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 presented and discussed.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlo Alberto Avizzano, Massimo Bergamasco, Giuseppe Docile, and Peter Feys "Suppression of tremor: guidelines and algorithms", Proc. SPIE 4195, Mobile Robots XV and Telemanipulator and Telepresence Technologies VII, (2 March 2001); https://doi.org/10.1117/12.417318
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KEYWORDS
Control systems

Computing systems

Haptic technology

Motion analysis

Human-machine interfaces

Visualization

Computer architecture

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