is mixing matrix (or sometimes called as dictionary). Typically, t is any acquisition variable, over which a sample of mixture (a column for discrete acquisition variable) is collected. The most…
Fig. 1 Schematic representation of seizure detection system Most studies present their solution to the problem of seizure detection in the context of a decision support system for the neurologist…
(1) where t refers to time and N is the number of electrodes or cortical areas considered. Supposing that the following MVAR process is an adequate description of the dataset…
(1) where x h (k) is the discrete Hilbert transform of a signal x(k) [15]. The above convolution effectively introduces a 90∘ phase shift at each frequency component of the signal…
Fig. 1 Typical N100 components from normal control (left) and schizophrenia patient (right) Both the P50 [2, 7, 8, 17–22] and the N100–P200 complex [18, 22–26] exhibit gating effects, even…
Fig. 1 Example of a functional brain network. If a connectivity measure between a pair of channel recordings (the nodes) exceeds the pre-specified threshold then a connection (i.e., an edge)…
(1) Any approach used to solve this kind of problem has to make some assumptions regarding the source signals, the mixing process, or both. The main assumption of ICA is…
(1) where <.> indicates window averaging. The estimated MSC for a given frequency f ranges between 0 (no coupling) and 1 (maximum linear interdependence). 2.3 Phase Locking Value One of…
where a, b ∈ R, a ≠ 0 are the scale and translation parameters, respectively. As a increases the wavelet becomes more narrow and by varying b, the mother wavelet is displaced in time. Thus, the wavelet…
Fig. 1 Incidence of known types of dementias The AD is the most common type of dementia accounting for an estimated 60–80 % of all cases. In the AD, information transfer…
