Smart BCI Wireless MicroBox

SmartBCI is a wireless solution of EEG, BCI and Neurofeedback, which has been designed for practical research applications. Continuous monitoring with video capturing ideal for out-door and ambulatory EEG investigations. Wireless ultra-small & low-weight hardware for brain electrical activity recording. 21 Ag/AgCl scalp electrodes designed according to the international 10-20 electrodes placement systems. *Bluetooth, Micro SD memory card, and 24 channels.

The company shows some pictures with different kinds of sport activity. Flying a plane its OK but getting EEG signals doing motocross it seems something very dificult. Let´s wait to get some user references. 

For more information about BCI/EEG press here.

NeuroTalk 2017, Barcelona - Spain

The Annual World Congress of Neurotalk (NT) congresses contribute to offering professionals in the field of Neuroscience a multidisciplinary informative cooperative platform. The Neurotalk-2017, with the theme of "New Technologies, New Ideas and New Future" will be held on May 22-24, 2017 in Barcelona.

Program Layout

• Opening Ceremony & Keynote Forum
• Cutting-edge Research on Neuroscience and Neurobiology
• Advanced Neurotechnologies
• Neurosurgery
• Medical Research, Diagnostics, Therapeutics of Major Neurological Disorders
• Symposiums
• Posters and Exhibitions
• Social & Cultural Activities

All attendees have the opportunity to submit his papers until March 31, 2017.

For more information about BCI/EEG press here.

What Life Will be Like with Bioelectronic Medicine

In a first-of-its-kind gathering at the New York Academy of Sciences, researchers from some of the world’s leading universities and institutions convened to discuss at the 13th annual Key Symposium the various applications of bioelectronic medicine, the cutting-edge field that uses technology to treat disease and injury.

While still in early stages of development, bioelectronic medicine has already been proven in studies and clinical trials to successfully treat conditions including paralysis and rheumatoid arthritis.

For more information about BCI/EEG press here.

NeuroTechNix 2017 - Madeira Island, Portugal

NeuroTechNix will be a meeting point of multidisciplinary teams, of both biomedical and engineering professionals, academics and practitioners. It will promote translational discussions on how technology can meet the needs of both clinical practitioners and persons with neurological disorders. 

Neurotechnix will emphasize research and application of neurotechnologies to different neurological disorders, such as: Neuromuscular diseases, Parkinson disease, Developmental disorders, Dementia , Epilepsy, Sleep disorders, Multiple Sclerosis, Neuroinfections, Brain Tumors, Stroke, Traumatic brain injuries, Cerebral Palsy, Spinal Cord Injury, Vision and Hearing disorders, among others. 

Conference Topics: 

• Neural Rehabilitation and Neuroprosthetics: Applications to Complex Communication Needs; Assistive Technologies; Augmentative and Alternative Communication; Biofeedback Therapy; Brain/Neural Computer Interfaces; Case Studies; Clinical and Social Impact of Neurotechnology; Mobile Technologies; Outcome Measures; Privacy, Security and Neuroethics; Robotic Assisted Therapy; Stimulation Systems; Telerehabilitation; Users’ Perception and Experience on Technologies; Virtual Reality Tools;
• Neuroinformatics and Neurocomputing: (Artificial) Neural Networks; Artificial Life; Brain Models and Functions; Cognitive Science and Psychology; Information Processing; Learning Systems and Memory; Neurobiology; Pattern Recognition; Reverse Engineering the Brain; Self-organization and Evolution;Simulation Models;
• Neuromodulation and Neural Engineering: Biochips and Nanotechnology; Bionic Vision; Biotechnology; Cochlear implants; Cybernetics; Deep Brain Stimulation; Electrical Stimulation; Functional Electrical Stimulation (FES); Neuro-interface Prosthetic Devices; Optogenetics; Transcranial Magnetic Stimulation; 
• Neuroimaging and Neurosensing: Brain imaging; Diagnostic Sensors; EEG and EMG Signal Processing and Applications; Electrical and Magnetic Recordings; Intelligent Diagnosis Systems; Magnetic Resonance Imaging; Mobile and Embedded Devices; Monitoring Systems and Techniques; Neural Signal Processing; Neuroimaging; Optical Imaging Techniques; Positron Emission Tomography; Real Time Monitoringof Neuromuscular and Neural Activity; Remote Neurosensing; Sleep Analysis;

Madeira Island, 30 -31 October 2017

Paper Submissions: May 22, 2017 

For more information about BCI/EEG press here.

ERPLAB Toolbox - OpenSource

ERPLAB toolbox is a freely available, open-source toolbox for processing and analyzing event-related potential (ERP) data in the MATLAB environment. ERPLAB is closely integrated with EEGLAB, a popular open-source toolbox that provides many EEG preprocessing steps and an excellent user interface design. 

ERPLAB adds to EEGLAB's EEG processing functions, providing additional tools for filtering, artifact detection, re-referencing, and sorting of events, among others. ERPLAB also provides robust tools for averaging EEG segments together to create averaged ERPs, for creating difference waves and other recombinations of ERP waveforms through algebraic expressions, for filtering and re-referencing the averaged ERPs, for plotting ERP waveforms and scalp maps, and for quantifying several types of amplitudes and latencies. 

For more information about BCI/EEG press here.

Wearable Sensing Solutions with Dry EEG Electrodes

The Wearable Sensing company from USA has an EEG Systems based on Dry Sensor Interface (DSI) technology with some advantages associated:

• Dry Sensors: High quality through hair EEG without skin abrasion or gels
• High Fidelity EEG signal: Comparable to that obtained with wet electrodes
• Low Noise: Patented circuit design reduces environmental noise
• Practical Headsets: Self-donned in less than 5 minutes and comfortable for hours
• Wireless: Integrated amplifiers, digitizers, and Bluetooth transmitters
• Motion Artifact Resistant: Mechanical isolation enables ambulatory use

For more information about BCI/EEG press here.

ICBBT 2017 - 9th International Conference on Bioinformatics and Biomedical Technology

ICBBT 2017 will be held during May 14-16, 2017 in Lisbon (FCT/UNL), Portugal. 

The primary goal of the conference is to promote research and developmental activities in Bioinformatics and Biomedical Technology. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in Portugal and abroad. 

The conference is held every year to make it an ideal platform for people to share views and experiences in Bioinformatics and Biomedical Technology and related areas.Topics of interest for submission include, but are not limited to:

• Biomedical imaging, image processing & visualization 
• Bioelectrical and neural engineering 
• Biomedical devices, sensors, and artificial organs 
• Health monitoring systems and wearable system 
• Bio-signal processing and analysis 
• Biometric and bio-measurement 
• Other topics related to biomedical engineering

For more information about BCI/EEG press here.

LSD effect in Human Brain

What is the effect of LSD in Human Brain causing abnormal sensasions and hallucinations? The answer can be obtained from Imperial College London researchers, working with the Beckley Foundation, that have visualised the effects of LSD on the human brain. Also a very interesting test to do with EEG.

“Our results suggest that this effect underlies the profound altered state of consciousness that people often describe during an LSD experience. It is also related to what people sometimes call ‘ego-dissolution’, which means the normal sense of self is broken down and replaced by a sense of reconnection with themselves, others and the natural world. This experience is sometimes framed in a religious or spiritual way – and seems to be associated with improvements in well-being after the drug’s effects have subsided.”

More information here.

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2017 BCI Award - 1st place: $3.000

Submissions for 2017 BCI Award are open until June 15th. You should consider the following questions when writing your submission:

• Does the project include a novel application of the BCI?
• Is there any new methodological approach used compared to earlier projects?
• Is there any new benefit for potential users of a BCI?
• Is there any improvement in terms of speed of the system (e.g. bit/min)?
• Is there any improvement in terms of accuracy of the system?
• Does the project include any results obtained from real patients or other potential users?
• Does the approach work online/in real-time?
• Is there any improvement in terms of usability?
• Does the project include any novel hardware or software developments?

The Award is open to any BCI research worldwide and 12 projects are nominated before the winner is announced:

• 1st place:     USD 3,000
• 2nd place:    USD 2,000
• 3rd place:     USD 1,000. 

More information here.

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BCI–Based Communication in the Completely Locked-In State

The study, published in PLoS Biology, detailed the researchers’ efforts in developing a non-invasive method to allow four completely locked-in patients to answer “yes or no” questions. The technique involves patients wearing a cap that uses infrared light to measure blood flow in different areas of the brain when they think about responding “yes” or “no” to a question. 

The researchers trained the patients by asking them control test questions to make sure the system could accurately record their answers, before asking questions about their current lives.

More information here.

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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.

Wireless EEG invasive electrode

One more (BIG) step to Brain-Computer Interfaces: Australian researchers at the Royal Melbourne Hospital and the University of Melbourne have developed an electrode that can record brain activity from the motor cortex, without the need for invasive brain surgery. 

The electrode, called a stentrode, is implanted into a blood vessel in the brain using minimally invasive surgical techniques. The electrode can record signals from the motor cortex and transmit them wirelessly through the skin to a device outside the body.

For more information about BCI/EEG press here.

BioSemi activeTwo EEG using SSVEP

The BCI and Neural Engineering Lab of University of Essex shows in the next video how to control a cursor using SSVEP.

For more information about BCI/EEG press here.

Movements of the same limb being classified from low frequency time domain EEG signals

Patrick Ofner gave this talk on movements of the same limb being classified from low frequency time domain EEG signals at the BCI Meeting in 2016.

Jon Wolpaw's Talk on the Future of BCI

Dr. Jon Wolpaw, a neurologist and President of the BCI Society, gives a talk on the future of Brain Computer Interfaces at the Sixth International Brain-Computer Interface Meeting at the Asilomar Conference Grounds from May 30th to June 3rd, 2016

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.

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

A new concept of BCI called Brain-Information Interface is being studied with already published results.

Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user’s interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their EEG was recorded. Based on the prediction of word relevance, the individual’s search intent was modeled and successfully used for retrieving new relevant documents from the whole English Wikipedia corpus.

The results show that the users’ interests toward digital content can be modeled from the brain signals evoked by reading. The introduced brain-relevance paradigm enables the recommendation of information without any explicit user interaction and may be applied across diverse informationintensive applications.

For more information press here. 

Average Salary of BCI Jobs

Using the Indeed application, the Average Salary of a BCI Engineer in USA is $8.500/month (8.000€).

Facebook is looking for a BCI Engineer - Salary: $145.000/year

Facebook's mission is to give people the power to share, and make the world more open and connected. The Technical Project Team has the responsibility for scoping the effort from inception to product, communicating it to others, creating the partnerships necessary to achieve targeted results, and hitting key milestones. 

B8 seeks an experienced Brain-Computer Interface (BCI) Engineer who will be responsible for working on a 2-year B8 project focused on developing advanced BCI technologies. We are looking for a slightly impatient individual willing to face down their fear of failure to accomplish bold things. This is a two-year position based in our Menlo Park office.

Responsibilities

• Application of machine learning methods, including encoding and decoding models, to neuroimaging and electrophysiological data
• Oversee collaborative research, data management, and software development across a diverse set of external partners including academic and industrial organizations
• Travel to partner sites to review progress and facilitate collaboration

Minimum Qualifications

• Ph.D. degree in neuroscience, computer science, electrical engineering, or related quantitative technical field required
• 3+ years of experience with brain-computer interface technologies or other applications or machine learning methods to neuroimaging and/or electrophysiological data
• Ability to work effectively with diverse partners, vendors, and internal teams.
• Knowledge with software engineering and development
• Familiarity with commercial or open source software packages for artificial speech recognition, natural language processing, or computer vision methods

More information press here

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Global BCI Market is Expected to Reach a Value of US$1.23 bn by 2024

RESEARCHMOZ added Most up-to-date research on BCI Market .

• By Type: Invasive BCI, Partially Invasive BCI, Noninvasive BCI; 
• By Technology: Electroencephalography (EEG), Electrocorticography (ECOG), Near Infrared Spectroscopy (NIRS), Functional Magnetic Resonance Imaging (fMRI), Magnetoencephalography (MEG); 
• By Application: Health Care, Gaming and Entertainment, Communication and Others.

For more information about BCI/EEG press here.

How We Learn - Neurons, Brain Chemistry and Neurotransmission

Synapses and Neural Pathways - Brain Nertworking increasing our knowledge.

One more year dedicated to BCI

Greetings from Lisbon, Portugal: https://goo.gl/bdIAer

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JOBS in Human Computer Interaction Institute at Carnegie Mellon

Cognitive Systems Engineers (CSE) work with interdisciplinary CSE teams to create the concepts and detailed designs for revolutionary information systems.  The CSE team is dedicated to providing principle-driven design of human-machine systems with the central focus being creating effective systems that embed user expertise and support decision making. 

CSEs are responsible for the interface designs as well as the comprehensive cognitive work analysis that informs those designs. Our CSEs also work closely with our talented group of software developers, providing design concepts, representational designs, and functionality requirements as guidance for their system development effort.

For more information press here.

Brain Assessment with Ahead 300

BrainScope, develop technology for assessing traumatic brain injuries (TBI), just won FDA clearance for its latest device, the Ahead 300. 

It can provide a rapid electroencephalographic (EEG) assessment of a person who suffered a head injury, utilizing disposable electrodes and a connected smartphone to process the information. It relies on the firm’s proprietary algorithms and machine learning to spot certain patterns and correlations within the recorded brainwaves.

Following the test it produces a report that highlights important aspects that are of note. These can then be used to help pin down a diagnosis. More information here.

JOB - PhD student Sleep for traumatic memories

Post-traumatic stress disorder (PTSD) is a severely disabling mental disorder with traumatic memories at its core, resulting in nightmares and flashbacks. Sleep is crucial in the treatment of PTSD, since traumatic memories that get neutralized during treatment subsequently get integrated in long-term storage during memory consolidation while asleep. This stabilizes the updated memories and further reduces their affective charge. Recent advances in basic memory research show that memory consolidation can be enhanced by presenting reminder cues. This project aims to integrate these memory reactivation strategies during sleep for the first time in standard PTSD treatment to increase overall therapeutic effectiveness. By using functional MRI before and after and polysomnography during treatment, the project will at the same time elucidate the underlying neurobiological mechanism.

The candidate is responsible for conducting experimental research (including patient inclusion and fMRI/EEG measurements), data analysis and reporting findings in international journals. He/she is expected to submit a high quality dissertation for examination within four years of the appointment.

For more information about this Psychiatry/Neuroscience Job in GGZ inGeest press here.

BCI for Basic Research

Why BCI researchers should focus on attempted, not imagined, movement?

Sensorimotor Rhythm BCI with TDCS Alters Task Performance

Noninvasive EEG Based Control of a Robotic Arm for Reach and Grasp Tasks

A team at University of Minnesota has created a control system that relies non-invasive electroencephalography (EEG) to allow people to use a robotic arm to move objects.

One more long step in brain-computer interfaces that can be used to control the complex motion of powered robotic arms. More information here.

PhD positions in University of Rhode Island, USA

The National Center for Adaptative Neurotechnologies (NCAN) is looking for two PhD positions in Biomedical Engineering until December, 15th.

For more information contact the Assistant Professor, Yalda Shahriari.

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Comparing Brain–Computer Interfaces Equipments

Source: https://en.wikipedia.org/wiki/Comparison_of_consumer_brain%E2%80%93computer_interfaces

PhyCS 2017 Conference, Madrid - Spain

PhyCS is the annual meeting (28-29 July, 2017) of the physiological interaction and computing community, and serves as the main international forum for engineers, computer scientists and health professionals, interested in outstanding research and development that bridges the gap between physiological data handling and human-computer interaction.

Researchers attending PhyCS seek to extend the state-of-the-art, design of new wearable devices that make physiological data acquisition more pervasive, design of user interfaces capable of recognizing and adapting to changes in the physiological state of the user, and / or the creation of algorithms to enable robust and seamless control of computational resources.

Important Dates:

• Regular Paper Submission: March 2, 2017
• Position Paper Submission: April 18, 2017

For more information press here.

BCI in 2045

According to the Pentagon in 2045 we will communicate using neural activity and control gadgets with brain signals. Watch the video:

7th Graz BCI Conference

The Institute of Neural Engineering is currently organizing the 7th Graz BCI Conference, in September 2017 endorsed by the BCI Society.

Important Dates:

• Submission opens: Dec. 1st 2016
• Deadline Paper submission: Feb. 1st 2017
• Deadline Satellite Events: Feb. 1st 2017
• Satellite Event Notification: Mar. 1st 2017
• Paper Acceptance Notification: April 15th 2017

NeuroAdaptive Technology Conference

The conference is based around the theme of Neuroadaptive Technology where measures of the brain and CNS are used for closed-loop control. The aim is to bring together researchers from applied neurosciences, engineering and computer science to explore the emergence of this nascent technology.  The range of relevant topics includes: passive BCI, physiological computing, affective computing, robotics, neurofeedback, autonomous technology, gaming, wearable sensors, HCI evaluation and neuroethics.

Paper submission opens at December 1st, 2016 and the deadline is January 31st, 2017. For more informations press here.

Cybathlon 2016 Powered Exoskeleton Finals

Cybathlon 2016 provides a platform for the development of novel assistive technologies that are useful for daily life. Through the organisation of the Cybathlon we want to remove barriers between people with disabilities, the public and technology developers.

Individuals with physical disabilities competed side by side in six demanding disciplines, using the latest assistive technologies.

Watch the athletes as they tackled flights of stairs in the new wheel chairs and proved their speed and skill using the most up-to-date modern prostheses. The various races tested how the competitors cope with specific challenges and activities from everyday life.

The Faculty of Science and Technology (FCT) from Universidade NOVA de Lisboa, Portugal receives the Prime Minister and the Minister of Science, Technology and Higher Education that will visit laboratories and classrooms where actions arising host new students.

This initiative aims to integrate the new students by strengthening their curiosity and enthusiasm for natural science area of the respective courses, including hands-sessions on conducted by young researchers and students. The themes show the current limits of knowledge and the challenges facing the development incluing Brain-Computer Interface projects from LIBphys department.

New EEG device from OpenBCI - Do it yourself!

OpenBCI has a new concept of EEG devices where you can create yourself with a desktop 3D-printer. You can also buy the product fully-assembled.

The Ultracortex is an open-source, 3D-printable headset intended to work with any OpenBCI Board. It is capable of recording research-grade brain activity (EEG), muscle activity (EMG), and heart activity (ECG). The Ultracortex Mark IV is capable of sampling up to 16 channels of EEG from up to 35 different 10-20 locations.

The Ultracortex Mark IV is the latest edition of the Ultracortex—a comfortable, adjustable, and 3D-printable EEG headset, compatible with all of the OpenBCI boards.

EMOTIV Community SDK at GitHub

For all developers who want to use the EMOTIV equipment can utilize the code already developed and archived on GitHub.

For more informations press here.

The most Grand Challenges for Brain Science in the next 10 Years

The first grand challenge seeks to understand what makes brains unique.

The second is to find out how the brain solves the complex computational problems of life.

And the final challenge is how to use the information to help diagnose, prevent brain disease and to restore function when brains become damaged.

More informations here.