Digitizing signals - a short tutorial guide
Digitizing signals - a short tutorial guide
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.
9-15
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
De Stefano, A.
103547f3-163d-4670-8839-1799a638e653
December 2004
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
De Stefano, A.
103547f3-163d-4670-8839-1799a638e653
Simpson, D.M. and De Stefano, A.
(2004)
Digitizing signals - a short tutorial guide.
Scope, 13 (4), .
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.
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sampling_tutorial.pdf
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Published date: December 2004
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Quarterly Magazine of the Institute of Physics and Engineering in Medicine (IPEM)
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Local EPrints ID: 171755
URI: http://eprints.soton.ac.uk/id/eprint/171755
PURE UUID: cde937e9-3e16-4e44-96c2-8d6741e574eb
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Date deposited: 20 Jan 2011 08:36
Last modified: 14 Mar 2024 02:47
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A. De Stefano
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