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eeg data processing with ai, deeplearning, machine learning
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.
April 23, 2020
woman making eeg eye blink artifact
One of the main concerns when dealing with electroencephalographic signals (EEG) is assuring that we record clean data with a high signal to noise ratio. The EEG signal amplitude is in the microvolts range and it is easily contaminated with noise, known as “artifacts”, which need to be filtered from the neural processes to keep the valuable information we need for our applications. We review in this post different EEG artifacts and the main tools and techniques to remove them.
April 17, 2020
a participant performing an implicit bias test
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.
April 10, 2020
slider eeg amplifier tech features
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.
April 3, 2020
Woman analyzing QEEG
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.
March 27, 2020
eeg electrodes
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 focuses on the EEG sensor layer features, including the type of sensor (dry/wet), shielding, and electrode placement, in order to give guidelines to help in the selection process.
March 20, 2020
Man smiling with a comfortable dry eeg headset
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.
March 12, 2020
Man with spinal cord injury that can grasp objects again thank to a brain-computer interface developed under the MoreGraso Project
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.
March 3, 2020
Executive looking at the clock after doing peak brain performance training
More and more people wish to improve their academic or professional performance by training their cognitive capabilities. This means improving cognitive functioning until each person’s optimal. Do you know what cognitive performance is and how it can be trained? This post will provide more information on high cognitive performance and the most frequent techniques employed to achieve it.
August 19, 2019
Person resting on the bench in a square after a cognitive rehabilitation session
Usually, cognitive deterioration is one of the most common subjects discussed in primary care. This condition progressively evolves with age, and requires specific interventions to be reverted, improving cognitive performance. Cognitive rehabilitation has the objective of improving cognitive functions such as memory, attention and language, which have a great impact on the life of patients. We summarize within this post the most common cognitive rehabilitation strategies and application areas.
August 15, 2019
Woman studying a cognitive stimulation therapy training course
Cognitive stimulation starts to open its way as a tool to care for the mental health of people. For such, professionals should receive adequate training and have the necessary knowledge to employ it and obtain positive results but… what should I keep in mind at the time of choosing a cognitive stimulation workshop? We’ll cover that.
August 13, 2019
Person with depression who has done cognitive rehabilitation and brain stimulation with exercises to train the brain
According to the World Health Organization (WHO), depression affects more than 300 million people in the world, being considered a frequent mental disorder. The emotional symptoms are usually the first to be treated with current existing treatments, but how can we intervene on the cognitive impairment that often affects the people that suffer from depression?
August 6, 2019
Future of society in which the ethics of neurotechnology and technological advances have been taken into account
Cars connected to the mind, implants in the brain to cure Alzheimer's or letters that are written just by thinking about it are some of the advances on which neurotechnology is working. Brain-machine interfaces (BCI systems) will completely change the way we live, but are we aware of the ethical issues and implications that these developments will involve?
July 31, 2019
glasses of a person who sees reality in a distorted way because of cognitive biases
We believe that reality is exactly what we perceive but really, this is just an illusion of our own brain. This happens because our brain takes shortcuts to interpret information and adapt to our surroundings: heuristics on which the brain relies to understand the reality perceived, but… can we always trust our brain when it utilizes these resources?
May 2, 2019
Person who has a neuromarketing study with neuromarketing techniques such as eeg, eye tracking, gsr and ecg in a supermarket
Neuromarketing is a new discipline that complements marketing research and makes use of scientific laboratories and techniques such as brain imaging (with EEG), implicit response tests, eye-tracking and facial coding, to name a few. Do you know all the existing techniques, their advantages, and limitations?
April 8, 2019
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