Biomedical signal processing (in four parts)
- 615 Downloads
This is the first of a series of four tutorial papers on biomedical signal processing. It provides an introduction to terminology and basic ideas for testing for randomness and trend, and for the determination of basic signal properties in the time domain, given the uncertainties associated with the estimation process. Techniques outlined in the paper are: the coherent average, cross-correlation and covariance, autocorrelation and phase-shift averaging.
KeywordsAveraging Biomedical Correlation Covariance Estimation Signal processing Time domain
Unable to display preview. Download preview PDF.
- Challis, R. E. andKitney, R. I. (1982) The design of digital filters for biomedical signal processing (in three parts). Part 1.J. Biomed. Eng.,4, 267–278.Google Scholar
- Challis, R. E. andKitney, R. I. (1983a) The design of digital filters for biomedical signal processing (in three parts) Part 2.5, 19–30.Google Scholar
- Challis, R. E. andKitney, R. I. (1983b) The design of digital filters for biomedical signal processing (in three parts). Part 3.,5, 91–102.Google Scholar
- Chatfield, C. (1970)Statistics for technology. Penguin Books, U.K.Google Scholar
- Hoel, P. G. (1971)Introduction to mathematical statistics, 4th edn. John Wiley, New York.Google Scholar
- Kendall, Sir M. (1976)Time series, 2nd edn. Charles Griffin.Google Scholar
- Lynn, P. A. (1973)An introduction to the analysis and processing of signals. Macmillan, London.Google Scholar
- Rompelmann, O. andRos, H. H. (1986) Coherent averaging technique: a tutorial review.J. Biomed. Eng.,8, 24–35.Google Scholar
- Woody, C. D. (1967) Characterisation of an adaptive filter for the analysis of variable latency neuroelectric signals.Med. & Biol. Eng.,5, 539–553.Google Scholar