Literature DB >> 75094

Signal to noise ratio and response variability measurements in single trial evoked potentials.

R Coppola, R Tabor, M S Buchsbaum.   

Abstract

Techniques were developed for measurement of signal to noise ratio and response variability in single trial evoked potentials. These techniques were extended and verified using a digital computer simulation of signal plus noise trials. When applied to real data the measures appear to have high reliability and to demonstrate that human evoked potentials are more variable than would be expected from background noise variation alone. Empirical equations are presented which can be applied to existing single trial EP data to estimate both signal-to-noise ratio and its expected variance.

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Year:  1978        PMID: 75094     DOI: 10.1016/0013-4694(78)90267-5

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  10 in total

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2.  Waveform variance and latency jitter of the visual evoked potential in childhood.

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3.  A novel single-trial event-related potential estimation method based on compressed sensing.

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4.  Estimation of habituation and signal-to-noise ratio of cortical evoked potentials to oesophageal electrical and mechanical stimulation.

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5.  Measurement of signal and noise characteristics in ongoing auditory brainstem response averaging.

Authors:  O Ozdamar; R E Delgado
Journal:  Ann Biomed Eng       Date:  1996 Nov-Dec       Impact factor: 3.934

6.  Averaging, selective averaging and latency-corrected averaging.

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7.  Spectro-temporal representations and time-varying spectra of evoked potentials. A methodological investigation.

Authors:  J P de Weerd; J I Kap
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

8.  Simultaneous Monitoring of Ballistocardiogram and Photoplethysmogram Using a Camera.

Authors:  Dangdang Shao; Francis Tsow; Chenbin Liu; Yuting Yang; Nongjian Tao
Journal:  IEEE Trans Biomed Eng       Date:  2016-06-29       Impact factor: 4.538

9.  Mind the Noise When Identifying Computational Models of Cognition from Brain Activity.

Authors:  Antonio Kolossa; Bruno Kopp
Journal:  Front Neurosci       Date:  2016-12-27       Impact factor: 4.677

10.  Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data.

Authors:  Ruben G L Real; Boris Kotchoubey; Andrea Kübler
Journal:  Front Neurosci       Date:  2014-09-10       Impact factor: 4.677

  10 in total

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