If you want to process EEG on an Android smartphone then this paper EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone from School of Medicine and Health Sciences - University of Oldenburg, published in Biomed Research International, may be of great interest: .
Our aim was the development and validation of a modular signal processing and classification application enabling
online EEG signal processing on off-the-shelf mobile Android devices. The software application SCALA
(Signal ProCessing and Classification on Android) supports a standardized communication interface to exchange information
with external software and hardware. Approach. In order to implement a closed-loop BCI on the
smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data
processing, classification, and delivery of feedback to the user. We have implemented the open source signal processing
application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA
with a well-established auditory selective attention paradigm and report above chance level classification results for all participants.
Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well
as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. Significance. We
present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can
easily implement other paradigms.
For more information about BCI/EEG press here.
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