Title :
A robust DSP integrator for accelerometer signals
Author :
Wu, Yan ; Mugler, Dale H.
Author_Institution :
Dept. of Math. Sci., Georgia Southern Univ., Statesboro, GA, USA
Abstract :
The need for an accepted method for determining position data from digital accelerometer readings with known frequency range is very important. The method of this paper uses spectral information and provides more stability and accuracy than classic methods for the DSP case. It even reduces to a classic method for the nonoscillatory case. Examples show the robustness of the method, overcoming the instability apparent with other integration methods.
Keywords :
accelerometers; biomedical measurement; digital filters; integration; medical signal processing; position measurement; signal sampling; transfer functions; Newton-Cotes integration; accelerometer signals; band-limited signal; cardiopulmonary resuscitation; chest compression estimation; digital accelerometer readings; digital filtering; error minimization method; known frequency range; nonoscillatory case; numerical integration; polynomials; position data; robust DSP integrator; signal sampling; spectral information; transfer function; trapezoidal rule; Acceleration; Accelerometers; Difference equations; Digital filters; Digital signal processing; Frequency; Polynomials; Robustness; Signal processing; Transfer functions; Acceleration; Algorithms; Motion; Movement; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Transducers;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2003.820372
