Saturday, May 20, 2017

Typing-by-Brain Facebook Project

First it was Elon Musk, now Facebook. Suddenly, all the big Silicon Valley players want to get into brain tech (IEEE Spectrum). Mark Zuckerberg added his perspective on the news in a post soon after the announcement, presenting the brain-typing project as a natural evolution of Facebook’s mission to help people share their interior worlds. If they like sharing comments, photos, and videos, why not directly share their thoughts too?


In my opinion, we must invest in this BCI solution for several years to achieve a fluid and natural writing resorting solely to the identification of brain electrical impulses through non-invasive equipment. 

For more informations about BCI/EGG press here.


Thursday, May 18, 2017

EEG Ranking Companies

The list below ranks each hardware company according to the number of publications they are associated with (Google Scholar). While not exhaustive, and certainly subject to change, the following represents at least a bird’s-eye view of the top EEG hardware companies currently out there. Each company offers different hardware, and choosing the best will often depend on your research goals.

Top 14 (Company/Publications)
  1. NeuroScan (12300)
  2. Brain Products (6690)
  3. BioSemi (5750)
  4. EGI (5000)
  5. Emotiv (3990)
  6. NeuroSky (2290)
  7. Advanced Brain Monitoring (790)
  8. ANT Neuro (340)
  9. Neuroelectrics (317)
  10. Muse (207)
  11. OpenBCI (201)
  12. Cognionics (128)
  13. g tec (128)
  14. mBrainTrain (28)

For more informations about BCI/EEG press here.


Wednesday, May 10, 2017

Atlas Brain

The sectional Brain Atlas focuses on the anatomical structures while both the schematic and slice view are used to represent the area of interest. Any region of interest is also accessible with a search function either by name or abbreviation:
  • High detailed anatomic coronal atlas of the human brain;
  • Highlighted anatomical structures;
  • Integrated nomenclature.


For more informations about EEG/BCI press here.


Tuesday, May 09, 2017

Glass Brain - 3D Brain Activity Visualization based on EEG

Glass Brain is a project by Gazzaley Lab and Neuroscape Lab at the University of California, San Francisco and the Swartz Center for Computational Neuroscience at the University of California, San Diego that’s a 3D visualization of a brain with real-time brain activity pulled in via an electroencephalography (EEG) cap that can be navigated using a gamepad. This is made possible thanks to BCILAB brain-computer interface technology and the Unity game engine.


For more informations about BCI/EEG press here.


Thursday, May 04, 2017

New EEG on-line Analyser

A new open source, free software is available using this simple brainwave analysis that can import CSV data files in 3 formats:
  • OpenVibe
  • Mindwave Reader 512 verion 2.0
  • Mindwave Reader 512 version 1.0
To use the Brainwave Analyzer you’ll need a NeuroSky MindWave Headset (not Mindwave Mobile) which works with Windows 7, XP, and Vista.


The complete instructions can be found at http://brainwaves.io/wp/brainwave-analyzer-help/10

For more informations about BCI/EEG press here.


Tuesday, May 02, 2017

Reset Stress Reduction Pods - A solution for Stress Reduction

RESET is a mobile, modular structure designed to include up to six different scientifically proven stress reduction methods. From intimacy to sound therapy, each unit provides a unique experience in playful or interactive way. Shape, materiality, color and light are parameters that can change per unit.

  

For more informations about BCI/EEG press here.

Thursday, April 27, 2017

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 informations about BCI/EEG press here.


Wednesday, April 19, 2017

MMI - Mind-Machine Interfaces

 What are the possible socioeconomic impacts of a mind-machine interface?

Elon Musk described it as a “digital layer above the cortex that could work well and symbiotically with you,” in a way similar to the concept of cyberbrain in Ghost in the Shell (...). Neural lace would act as an interface which would regulate data exchange without permitting unfettered access - to prevent the mind from becoming “house cats” to AI.


Once this technology reaches maturity, our way of life would undergo a revolution:

  • Learners can “go to school” by allowing the interface to direct experiences and thoughts into consciousness - instead of reading, listening and interpreting from our sensory feeds.
  • A new profession would arise: mind-workers; with low-cost training (patterns fed into our brains), individuals can “lease” their “mind hour” to institutions via the MMI.
  • Once programs and systems develop to interface with large number of mind-workers, this would become a new way of employment with only one qualification: a functioning mind.
  • Human resources would demand a premium. Instead of technology replacing human labor, they now become enablers of broader employment.
  • Feelings and thoughts would become commodities for exchange and purchase, leading to new media and entertainment industries.

For more informations about BCI/EEG press here.


Tuesday, April 18, 2017

3D Brain Anatomy

The company Genes to Cognition Online offers a free 3D Brain Anatomy Model, as it shows in the following picture, compatible with almost Web browsers (no Java code!).


For more information about BCI/EEG press here.


Monday, April 17, 2017

OpenVibe - Job offers

OpenVibe are looking for new professionals to its staff:
  • C++ software engineer;
  • 2 Engineers for medical certification;
  • Postdoc in real-time 3D brain-activity visualization (EEG);
  • 3 Open engineer positions to work on BCI and the OpenViBE platform;
  • Post-doctoral fellow at Inria Bordeaux on BCI and physiological computing;
  • Postdoc/software engineer.

For more informations about BCI/EEG press here.


Wednesday, April 12, 2017

Low-cost and Portable BCI/EEG Equipment

Conventional BCIs are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains unclear whether their low-cost design compromises their performance. Therefore, we developed a portable, low-cost BCI and compared its performance to that of a conventional BCI.


This BCI was assembled by integrating a custom electroencephalogram (EEG) amplifier with an open-source microcontroller and a touchscreen. The function of the amplifier was first validated against a commercial bioamplifier, followed by a head-to-head comparison between the custom BCI (using 4 EEG channels) and a conventional 32-channel BCI.

For more informations about BCI/EEG press here.


Monday, April 10, 2017

New applications through revolutionary BNCI technologies

Digital Economy & Society department from European Commission shows an article about BNCI - Brain-Neural-Computer-Interaction. This area investigates how brain activity can be recorded and used to interact with an electronic device. It uses electroencephalography (EEG) in combination with electromyography (EMG) captured from muscles electrical signals.


BNCI is an information channel for sending messages and control commands direct from the brain to theexternal world. The critical progress needed for BNCI proliferation is not only in technical terms:
  • Economy of scale – BNCI should be made useful to a wider group of users. Beyond the design for people with disabilities, a possible spill over to mainstream technologies could reduce costs and increase performance.
  • Cool Design – In BNCI systems, in particular, the sensor should be cosmetically appealing to a broad range of users. Also, usability is of primary importance in people's perception.
  • Zero Training – Preparation time and the presence of experts to set up BNCI should be reduced in the future – ideally the user can use the BNCI system independently.
  • Interdisciplinary research - Stimulating increased networking and co-operation among engineering disciplines, computer science, neuroscience, psychology, medicine and bio-physiology.
For more informations about BCI/EEG press here.


Friday, April 07, 2017

BCI Research Groups

List of 50 BCI Research Groups all over the World

  1. Graz BCI Lab - Graz University of Technology, Austria
  2. The Brain Interface Project - University of British Columbia, Canada
  3. Institute of Biomaterials and Biomedical Engineering - University of Toronto, Canada
  4. Human Machine Interaction group - Shanghai Jiao Tong University, China
  5. BCI Group - Aalto University, Finland
  6. Hybrid - Inria Rennes, France
  7. Berlin BCI Group - Technical University of Berlin, Germany
  8. Brain-Machine Interface Research - University of Freiburg, Germany
  9. Brain State Decoding Lab - University of Freiburg, Germany
  10. Würzburg BCI Research Group - University of Würzburg, Germany
  11. Biomedical Engineering research group - University of Ireland Maynooth, Ireland
  12. Brain Machine Interface Lab - Instituto Italiano di Tecnologia, Italy
  13. Laboratory for Advanced Brain Signal Processing - Riken Brain Science Institute, Japan
  14. BCI Lab Group - University of Tsukuba, Japan
  15. Touyama's BCI laboratory - Toyama Prefecture University, Japan
  16. BCI Group - University of Engineering & Technology, Pakistan
  17. Laboratory for Neuroergonomics and BCI - NCR Kurchatov Institute, Russia
  18. I2R BCI Laboratory - Institute for Infocomm ResearchBCI, Singapore
  19. Sinapse - National University of Singapore, Singapore
  20. BCI Lab @ Unist - Ulsan National Institute of Science and Technology, South Korea
  21. Brain Signal Processing Laboratory - Korea University, South Korea
  22. BCI Group - Korea University, South Korea
  23. BDigital eHealth R&D - Barcelona Digital Centre Technològic, Spain
  24. BitBrain R&D - BitBrain Technologies, Spain
  25. Brain-Machine Interface Systems Lab - Miguel Hernandez University of Elche, Spain
  26. BCI Lab UGR - University of Granada, Spain
  27. UMABCI Lab - University of Málaga, Spain
  28. BCI research team - University of Zaragoza, Spain
  29. Non-Invasive Brain-Machine Interface Group - École Polytechnique de Lausanne, Switzerland
  30. BCIs Group - University of Essex, UK
  31. BCI Project - University of Oxford, UK
  32. Brain Cognition Computing Lab - University of Kent, UK
  33. Signal Processing and Control Group - University of Southampton, UK
  34. BCI and Assistive Technology - University of Ulster, UK
  35. BCI Laboratory - Colorado State University, USA
  36. ETSU BCI Laboratory - East Tennessee State University, USA
  37. Brain UI Group - Georgia Tech & Georgia State University, USA
  38. The BrainLab - Kennesaw State University, USA
  39. BCIs - Microsoft, USA
  40. The BCI project - Neil Squire Society, USA
  41. BCI Lab - Purdue University, USA
  42. Human-Computer Interaction Lab - Tufts University, USA
  43. De Sa BCI Lab - University of California, USA
  44. Swartz Center for Computational Neuroscience - University of California San Diego, USA
  45. Direct Brain Interface Laboratory - University of Michigan, USA
  46. Center for Neuro-Engineerig & Cognitive Science - University of Houston, USA
  47. Schalk Lab - Wadsworth Center, USA
  48. Wadsworth BCI Lab - Wadsworth Center, USA
  49. NeuroEngineering & BioMedical Instrumentation Lab - John Hopkins University, USA
  50. Aspen Lab - Old Dominion University, USA
For more informations about BCI/EEG press here.



Thursday, April 06, 2017

Matlab code to learn Recurrent Waveforms within EEGs

When experts analyze EEGs they look for landmarks in the traces corresponding to established waveform patterns, such as phasic events of particular frequency or morphology. This modeling approach automatically learns the waveforms corresponding to transient, reoccurring events within EEG traces. 


The methodology is based on a sparsely excited model of a single EEG trace, and the model parameters are estimated using shift-invariant dictionary learning algorithms developed in the signal processing community. On the motor imagery dataset, linear discriminant analysis can distinguish the type of motor imagery based on the spatial patterns of a subset of the learned waveforms.

For more informations about BCI/EEG press here.


Wednesday, April 05, 2017

EEG Source Imaging - Decoding Right Hand Motor Imagery Tasks

Brain-computer interfaces (BCIs) based on sensorimotor rhythms (SMRs) have achieved successful control, therefore there is a need to develop techniques which can identify with high spatial resolution the self-modulated neural activity reflective of the actions of a helpful output device. Over the past decade EEG source imaging (ESI) techniques have proven to be an effective approach for interpreting motor intent by reconstructing the current density on the cortical surface. 


The successful separation of these complex tasks in an offline setting provides confidence for developing an SMR BCI for the natural control of external devices using realistic motor imaginations. 

For more informations about BCI/EEG press here.


Tuesday, April 04, 2017

Teegi - a Tangible EEG Interface

Teegi is an anthropomorphic and tangible avatar exposing a users’ brain activity in real time. It is connected to a device sensing the brain by means of electroencephalography (EEG). Teegi moves its hands and feet and closes its eyes along with the person being monitored. It also displays on its scalp the associated EEG signals, thanks to a semi-spherical display made of LEDs. 


Attendees can interact directly with Teegi – e.g. move its limbs – to discover by themselves the underlying brain processes. Teegi can be used for scientific outreach to introduce neurotechnologies in general and brain-computer interfaces (BCI) in particular.

 For more informations about BCI/EEG press here.


Thursday, March 30, 2017

Europe BCI (2016-2022) - Research and Markets

The increasing use of sensor technologies and dramatically changing healthcare infrastructure in the developing economies such as India and China would have very positive impact on the growth of the BCI technology market. However, the lack of professional with expertise in handling BCI systems, cyber security issues and ethical considerations would have an adverse impact on the growth of the market.

The Report highlights the adoption of BCI market, Europe. The countries included in the report are Germany, UK, France, Russia, Spain, Italy and Rest of Europe. The Key Topics Covered are: Market Scope & Methodology, Europe BCI Market- By Type, Application or Country and Company Profiles.

Companies

  • Nihon Koden Corporation
  • Mind Solutions, Inc.
  • Advanced Brain Monitoring, Inc.
  • Quantum Applied Science and Research, Inc.
  • Cadwell Laboratories, Inc.
  • OpenBCI
  • Cortech Solutions, Inc.
  • Neurosky, Inc.
  • Emotiv, Inc.
  • Guger Technologies OEG

For more informations about BCI/EEG press here.


Wednesday, March 29, 2017

Elon Musk launches Neuralink dedicated to BCI

Elon Musk has hinted at the existence of Neuralink a few times over the last six months - “Over time I think we will probably see a closer merger of biological intelligence and digital intelligence. It's mostly about the bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output." 


On Twitter, Musk has responded to inquiring fans about his progress on a so-called “neural lace,” which is sci-fi shorthand for a brain-computer interface humans could use to improve themselves.

For more informations about BCI/EEG press here.


Friday, March 17, 2017

Looking Into The Future of Healthcare - WIRED Health 2017

WIRED Health gathered hundreds of leaders and influencers from across the globe in London to discuss the field of health innovation and technology. In addition to their long lists of honors and historic accolades, the unrivaled lineup of speakers brought an infectious enthusiasm for action in healthcare.


For more informations about BCI/EEG press here.


Monday, March 06, 2017

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 informations about BCI/EEG press here.


Saturday, March 04, 2017

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 informations about BCI/EEG press here.


Monday, February 27, 2017

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 informations about BCI/EEG press here.


Saturday, February 25, 2017

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 informations about BCI/EEG press here.



Thursday, February 23, 2017

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 informations about BCI/EEG press here.


Tuesday, February 21, 2017

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 informations about BCI/EEG press here.


Monday, February 20, 2017

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 informations about BCI/EEG press here.


Sunday, February 19, 2017

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 informations here.

-------------------------------------
  Press here to read more about BCI
-------------------------------------


Thursday, February 16, 2017

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 informations here.

-------------------------------------
  Press here to read more about BCI
-------------------------------------


Monday, February 13, 2017

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 informations here.

-------------------------------------
  Press here to read more about BCI
-------------------------------------


Sunday, February 12, 2017

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 informations about BCI/EEG press here.


Thursday, February 09, 2017

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 informations about BCI/EEG press here.


Tuesday, January 24, 2017

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 informations about BCI/EEG press here.


Monday, January 23, 2017

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.



Sunday, January 22, 2017

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



Friday, January 20, 2017

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 informations about BCI/EEG press here.


Wednesday, January 11, 2017

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 informations 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€).



Monday, January 09, 2017

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 informations press here

-------------------------------------
  Press here to read more about BCI

-------------------------------------


Sunday, January 08, 2017

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 TypeInvasive BCI, Partially Invasive BCI, Noninvasive BCI; 
  • By TechnologyElectroencephalography (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 informations about BCI/EEG press here.


Sunday, January 01, 2017

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

-------------------------------------
  Press here to read more about BCI
-------------------------------------