A recording and analysis system for human tremor

Measurement: Journal of the International Measurement Confederation

Volumn 40, Issue 3, 2007, Pages 288-293

  Engin, Mehmet ^a  

^a EGE UNIVERSITY   (Turkey)

Author keywords

Data acquisition; FFT; Higher order statistics; Statistical test; Tremor analysis

Indexed keywords

CONDITION MONITORING; DATA ACQUISITION; DISEASES; FAST FOURIER TRANSFORMS; NEUROMUSCULAR REHABILITATION; PARAMETER ESTIMATION; STATISTICAL TESTS;

FREQUENCY PARAMETERS; HIGHER-ORDER STATISTICS; TREMOR;

DATA RECORDING;

EID: 33947162818     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2006.05.015     Document Type: Article

References (6)

1. Kubowski J.J., Kwiatos K., Chwaleba A., and Osowski S. Higher-Order Statistics and Neural Network for Tremor Recognition. IEEE Transactions on Biomedical Engineering 49 2 (2002) 152-159
2. Michalski A., and Chwaleba A. Mathematical Approach to Tremor Recognition in Extrapyramidal Disease. IEEE Instrumentation and Measurement Magazine 6 1 (2003) 57-61
3. Lauk M., Timmer J., Lücking C.H., Honerkamp J., and Deuschl G. A Software for Recording and Analysis of Human Tremor. Computer Methods and Programs in Biomedicine 60 (1999) 65-67
4. http://www.analog.com.
5. Muthuswamy J., and Thakor N.V. Spectral Analysis Methods for Neurological Signals. Journal of Neuroscience Methods 83 (1998) 1-14
6. Spyers-Ashby J.M., Bain P.G., and Roberts S.J. A comparison of Fast Fourier Transform (FFT) and Autoregressive (AR) Spectral Estimation Techniques for the Analysis of Tremor Data. Journal of Neuroscience Methods 83 (1998) 35-43