Article thumbnail
Location of Repository

Digitizing signals - a short tutorial guide

By D.M. Simpson and A. De Stefano

Abstract

Converting the analogue signal, as captured from a patient, into digital format is known as digitizing, or analogue to digital conversion. This is a vital first step in for digital signal processing. The acquisition of high-quality data requires appropriate choices of system and parameters (sampling rate, anti-alias filter, amplification, number of ‘bits’). Thus tutorial aims to provide a practical guide to making these choices, and explains the underlying principles (rather than the mathematical theory and proofs) and potential pitfalls. Illustrative examples from different physiological signals are provided

Topics: QC
Year: 2004
OAI identifier: oai:eprints.soton.ac.uk:171755
Provided by: e-Prints Soton
Sorry, our data provider has not provided any external links therefore we are unable to provide a link to the full text.

Suggested articles

Citations

  1. 5 Further details on the theory underlying sampling may be found in standard text books, such as
  2. (1988). Digital Signal Processing’; doi
  3. (1989). Discrete Time Signal Processing’;
  4. Extensions of the sampling theorem, including considerations on unequally spaced samples, can be
  5. (1977). The Shannon sampling theorem—its various extensions and applications: A tutorial review’; doi
  6. (1990). Titlebaum; ‘Sampling frequency of the electrocardiogram for spectral analysis of the heart rate variability’; doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.