2006
Anxiety sensitivity and auditory perception of heartbeat
Pollock R, Carter A, Amir N, Marks L. Anxiety sensitivity and auditory perception of heartbeat. Behaviour Research And Therapy 2006, 44: 1739-1756. PMID: 16513082, DOI: 10.1016/j.brat.2005.12.013.Peer-Reviewed Original ResearchConceptsAnxiety sensitivityElevated false alarm rateFear-relevant cuesAuditory perceptionThreat signalsAutonomic arousalDetection paradigmAS individualsPanic disorderPanic patientsPanic attacksLow abilityPerceptionTaskIndividualsCardiac stimuliArousalCuesGreater propensityFalse alarm rateBackground noiseFearStimuliAbilityNormal heartbeats
2002
Applying Hidden Markov Models to the Analysis of Single Ion Channel Activity
Venkataramanan L, Sigworth F. Applying Hidden Markov Models to the Analysis of Single Ion Channel Activity. Biophysical Journal 2002, 82: 1930-1942. PMID: 11916851, PMCID: PMC1301989, DOI: 10.1016/s0006-3495(02)75542-2.Peer-Reviewed Original ResearchConceptsCorrelated background noiseHidden Markov ModelDigital inverse filterMarkov model parametersDiscrete timeBaum-Welch algorithmMarkov modelComputational intensityDeterministic interferenceModel parametersInverse filterMultiple data setsAlgorithmPrevious resultsPractical applicationsNoise ratioState transitionsSharp frequencyData setsChannel dataSingle ion channel currentsNoiseExtensionRandomnessBackground noise
1998
Identification of hidden Markov models for ion channel currents. I. Colored background noise
Venkataramanan L, Walsh J, Kuc R, Sigworth F. Identification of hidden Markov models for ion channel currents. I. Colored background noise. IEEE Transactions On Signal Processing 1998, 46: 1901-1915. DOI: 10.1109/78.700963.Peer-Reviewed Original ResearchBaum-Welch algorithmMarkov schemeMarkov processMarkov modelIon channel kineticsColored background noiseUnbiased estimatesHMM parametersBiased estimatesSignal processingHMM approachAlgorithmTraditional algorithmsNoiseNoise ratioIon channel currentsSingle ion channel currentsConventional analysisBackground noiseCurrentParametersEstimatesModelEstimationScheme
1994
Fast wavelet transformation of EEG
Schiff S, Aldroubi A, Unser M, Sato S. Fast wavelet transformation of EEG. Clinical Neurophysiology 1994, 91: 442-455. PMID: 7529683, DOI: 10.1016/0013-4694(94)90165-1.Peer-Reviewed Original ResearchConceptsFeature extractionWavelet transformOrdinary microprocessorsComputational demandsRedundant samplingComputational timeMultiresolution frameworkData window lengthReal timeWavelet transformationContinuous wavelet transformRapid algorithmWaveletsAnalysis of EEGExtractionWindow lengthBackground noiseTransformAlgorithmPolynomial splinesMicroprocessorFourier transform techniqueRecent workCertain advantagesNumerical techniques
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