A Multi-APP Framework for BCI/EEG on Android Smartphones

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.

SPARK - Take Brain Selfies of your Neuronal Activity

New portable EEG devices are in the market every year. Now the Personal Neuro Devices company are launching the SPARK ($99) that connects directly with your smartphone.

The ability to take and send brain images to your smartphone is only the first step. The Spark environment allows developers and innovators to create their own apps and programs. Harness your Spark data and expand realm of what is possible for pervasive neurotechnology, brain monitoring and treatment.

Features

• Sampling Rate: 256 Hz;
• Bluetooth v.4;
• Battery Life: up to 8 hours;
• Neurofeedback apps to train cognitive faculties.

Have you ever taken a selfie of your brain? This is one of the many things you can do with Spark. Get an image of your brain sent directly to your phone. Keep track of your mental well-being and the state of your brain using up to date neurometrics. It's a selfie that gets below the surface.

It's probably the most easyer EEG equipment to use in the market. No doubt that this is the way for portable BCI but I am curious to know about the EEG results, from AF3 and AF4 and a few more electrodes, processed and classified in a smartphone.

For more information about BCI/EEG press here.

MyEmotiv: New APP for Emotiv EPOC

MyEMOTIV takes the complexity out of reading and interpreting brain waves, so it can measure mental performance and fitness.

• Capture, save and playback recordings of your brain activity;
• Measure six key cognitive and emotional metrics: focus, stress, excitement, relaxation, interest and engagement;
• Explore your brain’s activity patterns in real time with our popular 3D BrainViz viewer;
• Compare your results to previous sessions and the EMOTIV community;
• Get recommendations on activities you can do in daily life to improve your focus and manage your stress.

For more information about BCI/EEG press here.

Open-Source Biosignal Acquisition Device

Glasgow Neuro has released an open-source data acquisition device for wearable health monitoring applications. It can amplify electroencephalography (EEG) signals, also ECG and EMG, and be processed by external devices such as tablets and smartphones.

The ATTYS is able to transmit raw data, uncompressed signal data at 24 bits wirelessly via Bluetooth. Apps can then be easily built that filter and process this data while maintaining the ability to see the original source, a feature particularly useful for scientific studies. See the video.

For more information about BCI/EEG press here.

BCI by Electrical Cortex Activity: Challenges in Creating a Cognitive System for Mobile Devices Using SSVEP

Conference: DoCEIS2016 - Technological Innovation for Cyber-Physical Systems, Portugal
Book Title: Technological Innovation for Cyber-Physical Systems
DOI: 10.1007/978-3-319-31165-4_14

Abstract: The research field of Brain-Computer Interfaces (BCI) emerged in an attempt to enable communication between paralyzed patients and technology. Identifying an individual’s mental state, through his brain’s electric activity, a typical BCI system assigns to it a particular action in the computer. It is known that when the visual cortex is stimulated with a certain frequency, it shows activity with the same frequency. This Steady-State Visually Evoked Potential (SSVEP) activity can be used to achieve the aforementioned communication goal. In this work, we first analyze the spontaneous electrical activity of the brain, to distinguish two mental sates (concentration / meditation). Then, following an SSVEP type of approach, we divide the stimulating screen in four areas, each of which flickering at a distinct frequency. By observing the responding frequency from the occipital lobe of the subject, we can then estimate the 2 bit decision he made. We observe that such a setup is efficient for real time BCI, and can be easily integrated in mobile devices. Besides, the user is able to change voluntarily her/his decisions, interacting with the system in a natural manner.

For more information click here.

Smartphone Brain Scanner

From a raw EEG data obtained with a wireless Emotiv 14 channel Neuroheadset the DTU Informatics from Technical University of Denmark made a EEG monitoring system where a smartphone provides a touch-based interface with real-time brain state decoding and 3D reconstruction.

The headset transmits the EEG data to a receiver module connected to a Smartphone. The delay between the signal appearing in the headset and being visualized on the screen depends on the used source reconstruction window and is between 130 and 150 msec for 8Hz visualization. The framerate of the visualization (realized in OpenGL) is around 30fps.

The Smart Brain Scanner provides a portable EEG system based in a real-time functional brain scanner including stimulus delivery, data acquisition, logging, brain state decoding and 3D activity visualization.