Abstract
The aim of this study was to develop and evaluate a model based upon four identified characteristics of the power spectral density associated with isometric force at a range of constant force levels (5-95% maximum voluntary contraction). The characteristics modeled were: (1) a low-frequency resonant peak located at about 1 Hz; (2) a region of 1/f-like fractional Gaussian noise (fGn); (3) the resonant peak in the 8-12 Hz region on the PSD; and (4) Gaussian white noise resulting from a combination of neural as well as equipment noise. When superimposed, these components were used in a direct fit to the isometric force data to generate a linear predictor that resulted in residual values on the order of the white noise present in the original force time series.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 137-144 |
| Number of pages | 8 |
| Journal | Biological Cybernetics |
| Volume | 102 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2010 |
All Science Journal Classification (ASJC) codes
- Biotechnology
- General Computer Science