Sampling rate and the estimation of ensamble variability for repetive signals
(2000) In Medical & Biological Engineering & Computing 38(5). p.540546 Abstract
 The measurement of ensemble variability in timealigned event signals is studied in relation to sampling rate requirements. The theoretical analysis is based on statistical modelling of time misalignment in which the time resolution is limited by the length of the sampling interval. For different signaltonoise ratios (SNRs), the sampling rate is derived which limits the misalignment effect to less than 10% of the noise effect. Each signal is assumed to be corrupted by additive noise. Using a normal QRS complex with a high SNR (≈ 30 dB), a sampling rate of approximately 3 kHz is needed for accurate ensemble variability measurements. This result is surprising since it implies that the Nyquist rate is far too low for accurate variability... (More)
 The measurement of ensemble variability in timealigned event signals is studied in relation to sampling rate requirements. The theoretical analysis is based on statistical modelling of time misalignment in which the time resolution is limited by the length of the sampling interval. For different signaltonoise ratios (SNRs), the sampling rate is derived which limits the misalignment effect to less than 10% of the noise effect. Each signal is assumed to be corrupted by additive noise. Using a normal QRS complex with a high SNR (≈ 30 dB), a sampling rate of approximately 3 kHz is needed for accurate ensemble variability measurements. This result is surprising since it implies that the Nyquist rate is far too low for accurate variability measurements. The theoretical results are supplemented with results obtained from an ECG database of 94 subjects for which the ensemble variability is computed at different sampling rates using signal interpolation. The ensemble variability is substantially reduced (40%) when increasing the rate from 1 to 3 kHz, thus corroborating the results suggested by the theoretical analysis. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/1758864
 author
 Laguna, P. and Sörnmo, Leif ^{LU}
 organization
 publishing date
 2000
 type
 Contribution to journal
 publication status
 published
 subject
 keywords
 Nyquist rate, Timealigned signals, Ensemble variability, Sampling rate, ECG database
 in
 Medical & Biological Engineering & Computing
 volume
 38
 issue
 5
 pages
 540  546
 publisher
 Springer
 external identifiers

 Scopus:0034281892
 ISSN
 01400118
 DOI
 10.1007/BF02345750
 language
 English
 LU publication?
 yes
 id
 57119625d6c948349db6b84041f749cc (old id 1758864)
 date added to LUP
 20110104 13:09:41
 date last changed
 20161013 04:33:20
@misc{57119625d6c948349db6b84041f749cc, abstract = {The measurement of ensemble variability in timealigned event signals is studied in relation to sampling rate requirements. The theoretical analysis is based on statistical modelling of time misalignment in which the time resolution is limited by the length of the sampling interval. For different signaltonoise ratios (SNRs), the sampling rate is derived which limits the misalignment effect to less than 10% of the noise effect. Each signal is assumed to be corrupted by additive noise. Using a normal QRS complex with a high SNR (≈ 30 dB), a sampling rate of approximately 3 kHz is needed for accurate ensemble variability measurements. This result is surprising since it implies that the Nyquist rate is far too low for accurate variability measurements. The theoretical results are supplemented with results obtained from an ECG database of 94 subjects for which the ensemble variability is computed at different sampling rates using signal interpolation. The ensemble variability is substantially reduced (40%) when increasing the rate from 1 to 3 kHz, thus corroborating the results suggested by the theoretical analysis.}, author = {Laguna, P. and Sörnmo, Leif}, issn = {01400118}, keyword = {Nyquist rate,Timealigned signals,Ensemble variability,Sampling rate,ECG database}, language = {eng}, number = {5}, pages = {540546}, publisher = {ARRAY(0xb605eb0)}, series = {Medical & Biological Engineering & Computing}, title = {Sampling rate and the estimation of ensamble variability for repetive signals}, url = {http://dx.doi.org/10.1007/BF02345750}, volume = {38}, year = {2000}, }