Modeling and canceling tremor in human-machine interfaces

Cameron N. Riviere; Nitish V. Thakor

doi:10.1109/51.499755

Modeling and canceling tremor in human-machine interfaces

Cameron N. Riviere, Nitish V. Thakor

School of Medicine

Research output: Contribution to journal › Review article › peer-review

76 Scopus citations

Abstract

Zero-phase modeling and canceling of tremor can improve precision in human-machine control applications. The weighted-frequency Fourier linear combiner (WFLC) is an adaptive noise cancellor that precisely model tremor with zero phase lag. This paper presents the WFLC algorithm and describes its application to computer input filtering, clinical tremor quantification, and active tremor canceling for microsurgery.

Original language	English (US)
Pages (from-to)	29-36
Number of pages	8
Journal	IEEE Engineering in Medicine and Biology Magazine
Volume	15
Issue number	3
DOIs	https://doi.org/10.1109/51.499755
State	Published - May 1996

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/51.499755

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title = "Modeling and canceling tremor in human-machine interfaces",

abstract = "Zero-phase modeling and canceling of tremor can improve precision in human-machine control applications. The weighted-frequency Fourier linear combiner (WFLC) is an adaptive noise cancellor that precisely model tremor with zero phase lag. This paper presents the WFLC algorithm and describes its application to computer input filtering, clinical tremor quantification, and active tremor canceling for microsurgery.",

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AB - Zero-phase modeling and canceling of tremor can improve precision in human-machine control applications. The weighted-frequency Fourier linear combiner (WFLC) is an adaptive noise cancellor that precisely model tremor with zero phase lag. This paper presents the WFLC algorithm and describes its application to computer input filtering, clinical tremor quantification, and active tremor canceling for microsurgery.

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Modeling and canceling tremor in human-machine interfaces

Abstract

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