The measuring set and signal processing method for the characterization of human hand tremor

Author

Chwaleba, Augustyn ; Jakubowski, Jacek ; Kwiatos, Krzysztof

Author_Institution

Inst. of Electron. Fundamentals, Mil. Univ. of Technol., Warsaw, Poland

fYear

2003

fDate

18-22 Feb. 2003

Firstpage

149

Lastpage

154

Abstract

The paper presents an attempt to discriminate the most often observed three types of human tremor with objective techniques by measuring the acceleration of the hand and by calculating some characteristic features of these time series. Different mathematical descriptions have been adopted in order to generate the features. They have come from both second and higher-order statistics. A simple neural classifier has enabled the recognition of these three kinds of tremor with 3.6% error rate.

Keywords

acceleration measurement; bioelectric potentials; higher order statistics; medical signal processing; multilayer perceptrons; neurophysiology; pattern classification; signal classification; spectral analysis; time series; Parkinson´s disease; autocorrelation functions; essential tremor; hand acceleration; higher-order statistics; human hand tremor characterization; multilayer perceptron; neural classifier; objective techniques; optimal learning rate; physiological tremor; rhythmic involuntary oscillatory movement; second-order statistics; signal processing method; spectral analysis; time series; tremor recognition; Acceleration; Accelerometers; Frequency; Humans; Medical diagnostic imaging; Medical treatment; Parkinson´s disease; Pathology; Signal processing; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

CAD Systems in Microelectronics, 2003. CADSM 2003. Proceedings of the 7th International Conference. The Experience of Designing and Application of

Print_ISBN

966-553-278-2

Type

conf

DOI

10.1109/CADSM.2003.1255010

Filename

1255010