Adaptive human-machine interface for persons with tremor

Author

Riviere, Cameron N. ; Thakor, Nitish V.

Author_Institution

Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1193

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

Keywords

adaptive filters; biocontrol; biomechanics; frequency modulation; handicapped aids; medical signal processing; physiological models; user interfaces; adaptive human-machine interface; computationally inexpensive algorithm; computer mice; computer pen input; human-machine control; involuntary motion; pathological tremor model; persons with tremor; reference input frequency; tremor amplitude; tremor frequency; tremor suppression; Adaptive filters; Cutoff frequency; Filtering; Frequency estimation; Frequency modulation; Low pass filters; Man machine systems; Pathology; Personal digital assistants; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579637

Filename

579637