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Biological Cybernetics|August 24, 2004
An adaptive neuro-fuzzy method (ANFIS) for estimating single-trial movement-related potentialsD D Ben Dayan Rubin, G Baselli, G F Inbar, et al.International Journal of Bio-Medical Computing|May 1, 1985
AR identification and spectral estimate applied to the R-R interval measurementsF Bartoli, G Baselli, S CeruttiBiological Cybernetics|January 1, 1987
Single sweep analysis of visual evoked potentials through a model of parametric identificationS Cerutti, G Baselli, D Liberati, et al.Computers and Biomedical Research, an International Journal|December 1, 1985
Autoregressive modeling and power spectral estimate of R-R interval time series in arrhythmic patientsG Baselli, D Bolis, S Cerutti, et al.Medical Engineering & Physics|March 14, 2002
Short and long term non-linear analysis of RR variability seriesG Baselli, S Cerutti, A Porta, et al.European Journal of Applied Physiology and Occupational Physiology|January 1, 1990
The influence of exercise intensity on the power spectrum of heart rate variabilityR Perini, C Orizio, G Baselli, et al.IEEE Transactions on Bio-Medical Engineering|March 1, 1995
Pole-tracking algorithms for the extraction of time-variant heart rate variability spectral parametersL T Mainardi, A M Bianchi, G Baselli, et al.Journal of the Autonomic Nervous System|December 1, 1993
Power spectrum analysis of cardiovascular variability monitored by telemetry in conscious unrestrained ratsR Rubini, A Porta, G Baselli, et al.IEEE Transactions on Bio-Medical Engineering|November 14, 1997
Spectral decomposition in multichannel recordings based on multivariate parametric identificationG Baselli, A Porta, O Rimoldi, et al.Pacing and Clinical Electrophysiology : PACE|November 24, 1998
Assessment of the coupling between RTapex and RR interval as an index of temporal dispersion of ventricular repolarizationF Lombardi, A Colombo, A Porta, et al.Pageof 28