The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

A new adaptive filter has been developed to model pathological tremor during human-machine interaction. Operating online, the system suppresses tremor to improve precision in human-machine control. Offline, the system processes recorded data to quantify tremor for clinical use. The filter estimates tremor frequency as well as amplitude, adapting the reference input frequency to follow frequency modulation of tremor. The algorithm is computationally inexpensive and simple to implement in many human-machine interface applications. Experimental results are presented.

Notes

Associated Center(s) / Consortia: Medical Robotics Technology Center

Associated Lab(s) / Group(s): Surgical Mechatronics Laboratory

Associated Project(s): Micron: Intelligent Microsurgical Instruments

Text Reference

Cameron Riviere and N. V. Thakor, "Adaptive human-machine interface for persons with tremor," Proceedings of the 17th Annual Conference of the IEEE Engineering in Medicine and Biology Society, September, 1995, pp. 1193 - 1194.

BibTeX Reference

@inproceedings{Riviere_1995_1263,
   author = "Cameron Riviere and N. V. Thakor",
   title = "Adaptive human-machine interface for persons with tremor",
   booktitle = "Proceedings of the 17th Annual Conference of the IEEE Engineering in Medicine and Biology Society",
   pages = "1193 - 1194",
   month = "September",
   year = "1995",
   volume = "2",
}

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