Showing papers by "Jari P. Kaipio published in 1996"
TL;DR: In this paper, the authors present a simple and affordable EIT measurement device that is based on a PC computer, commercial data acquisition board and software and an external current generation and switching board.
Abstract: In electrical impedance tomography (EIT) currents are applied into a volume through electrodes and the resulting voltages at the electrodes are measured. The impedance distribution inside the volume can then be calculated by solving the associated inverse problem. Usually the equipment that is needed for the generation of the current patterns and the measurements are large, expensive and tailored to specific situations. In such cases many of the measurement parameters are fixed and the user cannot change these to adapt the equipment to another measurement situation. In this article we present a simple and affordable EIT measurement device that is based on a PC computer, commercial data acquisition board and software and an external current generation and switching board. We also verify the performance and applicability of the system with a phantom measurement and an unusual measurement object for which there is no specific equipment, that is, the measurement of internal impedance distribution of spruce logs.
20 citations
31 Oct 1996
TL;DR: A method for estimation of the change point in event related desynchronization tests is presented, based on tracking of a single system pole of the time-varying ARMA model, which is approximated using perturbation theory.
Abstract: A method for estimation of the change point in event related desynchronization tests is presented. The method is based on tracking of a single system pole of the time-varying ARMA model. The pole is approximated using perturbation theory.
8 citations
31 Oct 1996
TL;DR: A method based on recursive Bayesian Mean Squares estimation of single trial evoked potentials (EP) is presented and is shown to be capable of tracking slow trends in parameters of the EP.
Abstract: A method for the sequential estimation of single trial evoked potentials (EP) is presented The method is based on recursive Bayesian Mean Squares estimation The evoked potentials are estimated sequentially using the old estimates as the prior information The estimated EPs are constrained to a principal subspace of the ensemble of measurements The method is shown to be capable of tracking slow trends in parameters of the EP The performance of the method is evaluated with realistic simulated evoked potential measurements
4 citations