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For rejection of artifacts in the EEG data, each sampling point was centred in a gliding window and rejected if the standard deviation within the window exceeded a threshold value: Artifacts caused by drifts or body movements were eliminated by rejecting sampling points whenever the standard deviation of a 200-ms or 800-ms gliding window exceeded 25 µV at any EEG electrode.
Eye artifacts were rejected whenever the standard deviation of a 200-ms gliding window exceeded 25 µV at the vertical or the horizontal EOG (rejections were controlled by the authors).
For this purpose, an automatic artifact detection was computed, which excluded trials from further analysis if the standard deviation within a moving 200 ms window exceeded 40 µV in any channel.
For the elimination of artifacts caused by eye and body movements, EEG data were rejected offline whenever the standard deviation within a 200 ms gliding window exceeded 80 µV at EOG electrodes or 50 µV at any other electrode.
Thus, weekly or daily space-time signals were generated, each time that the observed number of cases in a certain space and time window exceeded the defined significance threshold.
For the elimination of electrical artifacts caused by eye and body movements, EEG data were rejected off-line whenever the standard deviation within a 200 ms gliding window exceeded 80 µV at EOG electrodes or 50 µV at any scalp electrode.
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What is more, the faster the valve the smaller error of parameter estimation in proposed TD-EIT was observed, and this uncertainty importantly falls down for the length of time window exceeding the limit of 100 ms.
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