Title :
Nonparametric, low bias, and low variance time-frequency analysis of myoelectric signals
Author :
Farry, Kristin A. ; Baraniuk, R.G. ; Walker, Ian D.
Author_Institution :
NASA Johnson Space Center, Houston, TX, USA
Abstract :
The authors apply Thomson´s multiple window method (see D. Thomson “Spectrum Estimation and Harmonic Analysis”, Proc. of the IEEE, vol. 70, no. 9, p. 1055-96) to myoelectric signal time-frequency analysis for the first time. They extend Thomson´s spectral estimation methodology for stationary signals to a time-frequency analysis tool, which they call the short-time Thomson transform. They compare this time-frequency analysis approach with the short-time Fourier transform
Keywords :
Fourier transforms; electromyography; medical signal processing; spectral analysis; time-frequency analysis; Thomson´s multiple window method; Thomson´s spectral estimation methodology; electrodiagnostics; myoelectric signals analysis; nonparametric low bias low variance time-frequency analysis; short-time Fourier transform; short-time Thomson transform; stationary signals; Analysis of variance; Blood flow; Fourier transforms; Magnetic heads; Muscles; Production; Recruitment; Signal analysis; Spectrogram; Time frequency analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579397
