One of the first questions to answer when we approach a research methodology that involves the recording of multiple devices is always: how do I synchronize the various signals? Due to the fact that there are many different systems and devices used by researchers that come from multiple vendors, or are developed by the researchers themselves, this is always one of the first problems to solve.
Electroencephalography (EEG)-based neurotechnology not only offers us new alternatives to interact with our environment directly via our brain, but also promises to improve our human functions. In this post, we will discuss how to exploit these technologies as a rehabilitative tool for people with nervous system damage, and how to facilitate human enhancement for the general population.
Neurofeedback is a human enhancement technique aimed at providing cognitive improvements in psychological variables such as memory, attention, processing speed or executive functions. We describe herein neurofeedback and biofeedback techniques, the science behind one of the most validated protocols, the new trends in modern approaches, influenced by the advances in brain-computer interfaces, and some use cases and scientific results.
Eye tracking has become an invaluable tool for understanding attention, visual behavior and human behavior in a number of diverse fields, from psychology, neurophysiology, user experience, market research, etc. The technology can also be used for medical analysis and screening, and it provides a new method of interaction.
Historically, eye tracking systems were invasive and immobile, and therefore useful only in very limited experiments.
EEG systems capture information about many different aspects of our cognition, behavior, and emotions. The technology not only helps to study the brain, but also has applications in health, in affective and emotional monitoring, and in human improvement. However, EEG data is not easy to interpret: it has a lot of noise, varies significantly between individuals and, even for the same person, changes substantially over time.
Implicit measures became very popular years ago by the academics, and many researchers employed them to analyze biases in racial groups, gender, sexuality, age, and religion, as well as to assess self-esteem in clinical psychology. Today, other applications in market research have emerged to gather information on implicit preferences of products, brands, politicians, and celebrities, and to reveal which attributes are more inherently associated with these concepts.
When choosing an electroencephalogram (EEG) device within the constraints of a project requirements, it is important to find the maximum performance possible by balancing features and value. This article will build on top of the previous one (EEG sensor layer) by addressing important EEG amplifier features like sampling rate, bandwidth, noise level, CMRR, etc.
Quantitative electroencephalogram (QEEG) is the mathematical analysis of the brain’s electrical activity, mainly power spectral analyses, to obtain metrics that may be associated with behavioral-cognitive function.
Dry-EEG systems can open the door for the application of neuroscience in real-world settings, and the market to a new generation of products and services based on neurotechnology. However, there are many open questions related to their reliability, accuracy and signal quality. This post will give the reader solid arguments for selecting a technology that fits the application requirements.
Brain-computer interfaces (BCI) occupy an emerging field with the potential of changing the world, with diverse applications from rehabilitation to human augmentation. In this post, we will provide some insights into what BCIs are, how they are built, and what are the most promising applications that may be available in the near future.
The 4th Industrial Revolution is technology-driven and will impact the business market unprecedentedly, adding US$14.2 billion to the global economy in the next 15 years (Accenture), and affecting industries. Within this context, if the market research sector wants to survive such a deep transformation, it must overcome significant barriers. But… what are the challenges for market research and how can this industry be accelerated?
People with high-level cervical injuries suffer total loss of the functions of the lower limbs and partial or total paralysis of upper limbs. The research team of the H2020 MoreGrasp European project has developed a brain-controlled motor neuroprosthesis. This cutting edge-neurotechnology will enable tetraplegics to carry out daily movements with their hands, such as grab a glass to drink water or brush their teeth, improving their autonomy and quality of life.
Humans interact with artificial intelligence systems on a daily basis without even realising. Many people have already started to feel emotionally connected to them, but could this feeling be reciprocated in the future? Is it possible that machines could ever feel emotionally involved with us?
Although the brain has a basic structure and a given shape, the reality is that each human brain is unique and behaves in a very different way to the rest. This difference is due, principally, to the fact that our brain changes how it interacts with its surroundings, a phenomenon that is named neuroplasticity.
August 21, 2018
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