Title :
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
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;
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
DOI :
10.1109/CADSM.2003.1255010
