This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Fig. 1
Basic EIT arrangement.
Fig. 2
Independent Component Analysis block diagram where blind source sˆ (t) is estimated from a mixing matrix A. s(t) are the sources. x(t) are the recordings, sˆ (t) are the estimated sources. Also A is mixing matrix and W is un-mixing matrix.
Fig. 3
(a) The original time course of impedance change of a subject during spontaneous breathing with no filtering applied. (b) The Fast Fourier Transform (FFT) power spectrum of this signal showing the frequency characteristics [15].
Fig. 4
Separation of Cardiac and Respiration signal
Fig. 5
Proposed method to Separate Cardiac and Respiration signal; After preprocessing ICA is applied on observed signal x to get the respiration template function RT from a set of templates T1 and identically cardiac template function, CT is obtained from remain signal. Unwanted signals are not taken into consideration.
Fig 6
Independent Component signals generated from preprocessed raw EIT data.
Fig. 7
Selected IC’s (left column) and corresponding reconstructed images (right column)
Fig. 8
Selected IC_9 with its magnified image (a) and its FFT (b).
Fig. 9
Selected IC_3 with its magnified image and it’s reconstructed Image