ArticleBioMed research international2017
EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Enhancing mobile EEG: Software development and performance insights of the DreamMachine.HardwareX · 2025Article
- Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator.Frontiers in robotics and AI · 2025Article
- From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings.Sensors (Basel, Switzerland) · 2023Article
- Design-development of an at-home modular brain-computer interface (BCI) platform in a case study of cervical spinal cord injury.Journal of neuroengineering and rehabilitation · 2022Article
- Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets.Frontiers in neuroergonomics · 2022Article
- Synchronization of ear-EEG and audio streams in a portable research hearing device.Frontiers in neuroscience · 2022Article
- Smartphones and the Neuroscience of Mental Health.Annual review of neuroscience · 2021Article
- Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.Developmental cognitive neuroscience · 2019Review
- Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions.Sensors (Basel, Switzerland) · 2019Article
- Wearable EEG and beyond.Biomedical engineering letters · 2019Review
- A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling.Frontiers in human neuroscience · 2019Article
- Development of a Modular Board for EEG Signal Acquisition.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOur aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (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 brain-computer interface (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. MAIN
resultsWe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.