Efficient Solution Methodology for Calibrating the Hemodynamic Model using Functional Magnetic Resonance Imaging (FMRI) Measurements

Zambri, Brian ;   Djellouli, Rabia ;   Laleg, Taous-Meriem

Tags Nonlinear filteringKalman filteringSignal processing in physiological systems

Our aim is to propose a numerical strategy for retrieving accurately and efficiently the biophysiological parameters as well as the external...

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Functional Mesh Model with Temporal Measurements for Brain Decoding

Onal, Itir ;   Ozay, Mete ;   Yarman Vural, Fatos

Tags Biomedical signal classificationConnectivity measurementsPattern recognition methods for data mining in biosignals

We propose a method called Functional Mesh Model with Temporal Measurements (FMM-TM) to estimate a functional relationship among voxels using...

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Joint Source Separation of Simultaneous EEG-FMRI Recording in Two Experimental Conditions using Common Spatial Patterns

Tan, Ao ;   Fu, Zening ;   Tu, Yiheng ;   Hung, Y.S. ;   Zhang, Zhiguo

Tags Data mining in biosignalsBlind source separationMultivariate signal processing

Simultaneous collection of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data has become increasingly popular...

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Multi-Model based Classification of Schizophrenia Patients

Cetin, Mustafa S. ;   Houck, Jon M. ;   Vergara, Victor Manuel ;   Miller, Robyn ;   Calhoun, Vince

Tags Biomedical signal classificationConnectivity measurementsPattern recognition methods for data mining in biosignals

Schizophrenia is currently diagnosed by physicians through clinical assessment and their evaluation of patient’s self-reported experiences...

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Spatiotemporal Analysis of the Appearance of Gamma-Band Microstates in Resting State MEG

Kelsey, Matthew ;   Prior, Fred ;   Larson-Prior, Linda

Tags Time-frequency analysis of biosignalsSignal processing in physiological systemsNonlinear dynamics in biomedical signals

Spatiotemporal analysis of EEG signal has revealed a rich set of methods to quantify neuronal activity using spatially global topographic...

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Supervised Nonlinear Dimension Reduction of Functional Magnetic Resonance Imaging Data using Sliced Inverse Regression

Tu, Yiheng ;   Tan, Ao ;   Fu, Zening ;   Hung, Y.S. ;   Hu, Li ;   Zhang, Zhiguo

Tags Nonlinear analysis of biomedical signalsMultivariate signal processingBiomedical signal classification

Dimension reduction is essential for identifying a small set of discriminative features that are predictive of behavior or cognition from...

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