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EEG data were recorded against the reference at the right mastoid; an additional electrode measured the voltage on the left mastoid, and the data were offline converted to a linked-mastoids reference.
Before applying Independent Components Analysis, the data were offline filtered by means of a high (1 Hz cut-off frequency) and low pass (25 Hz cut-off frequency) Finite Impulse Response filter implemented in EEGLAB (pop_ eegfilter function).
Single-unit data was discriminated offline (Offline Sorter; Plexon, Inc.; Dallas, TX) and mean firing rates in each neuron were assessed for each eye and stimulus presentation as described previously [8].
Analysis of the data is performed offline and too time consuming for clinical use.
The raw EMG data set was offline corrected for scanner artifacts using the Brain Vision Analyzer software (version 1.05, Brain Products GmbH, Munich, Germany).
The data was analyzed offline to create the necessary meta data needed for unit selection synthesis.
Shortly after TechCrunch contacted the app maker, the data was pulled offline.
All mechanical data were computed offline by a routine written in MATLAB (Version R2007a; The Mathworks Inc, Natik, Massachusetts, USA).
Data were analyzed offline with Clampfit 10.2.
All data were analyzed offline using TIDA software.
Data were analyzed offline using AxoGraph X (AxoGraph Scientific).
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