Sentences with phrase «eeg signals»

Functional connectivity refers to the functionally integrated relationship among spatially separated brain regions, which is characterized by phase synchronization of EEG signals of two brain regions in the infant EEG alpha frequency band (6 — 9 Hz)[26].

We computed phase synchronization to represent the functional connectivity between two EEG signals in the infant alpha band.

The MUSE enables you to capture the eeg signals produced by your brain during meditation and store this information to your smart device (iPhone / Samsung).

This enabled direct localization of MEG / EEG signals with independent fMRI data, overcoming the inherent ambiguities of inverse solutions.

Due to the density of its neural layers, the hippocampus generates some of the largest EEG signals of any brain structure.

The signals picked up by scalp electrodes are comparatively small and diffuse, and arise almost entirely from the cerebral cortex — the hippocampus is too small and too deeply buried to generate recognizable scalp EEG signals.

In animals, EEG signals are usually recorded using electrodes implanted in the brain; the majority of theta studies have involved electrodes implanted in the hippocampus.

As a rule, EEG signals are generated by synchronized synaptic input to the dendrites of neurons arranged in a layer.

The idea is to perform an extremely large number of measurements at A and B and extract the small fraction in which the EEG signals caused changes to the settings at A and B after the particles departed their original position but before they arrived and were measured..

In the transition to awareness, the squiggly EEG signals — electrical patterns generated by the collective activity of the neurons in the cortex — make a distinctive shift.

«Additional recordings with FO electrodes in patients with Alzheimer's disease will help us develop better tools based on computerized analysis of EEG signals and possibly functional neuroimaging studies to ascertain how common silent seizures are in Alzheimer's disease without the need for the minimally invasive electrodes we used in these patients.»

«In this study, a new «source analysis» method was used for the first time to measure functional networks in the infant brain: with the help of a computer model, the measured EEG signals were interpreted as activity in the infant cortex, which enabled the evaluation of the functional networking of neurons in a very versatile manner on the cortical level,» says Sampsa Vanhatalo, a professor in clinical neurophysiology and the head of the study.

The study from Freiburg is also based on data from EEG signals.

This activity occurs about a second before you actually move and can be identified by EEG signals from the motor cortex.

I am seated at a network of computers with an electrode - studded swim cap suctioned to my head, watching a colorful trail of EEG signals unfurl across a nearby screen.

Clinicians and researchers often go through great pains to maximize EEG signals by abrading the top layer of skin and applying a conductive gel where the scalp is in contact with the sensors — something not even the passionate gamer would endure.

Although the electrical activity of muscles, he explained, is normally considered as artifact noise that needs to be filtered out to attain clean EEG signals that are of interest, they are still informative about how facial muscles move, such as during a wink.

But that the EEG signals, electro - encephalography by electrodes placed on the skull, show different signals, was not demonstrated yet.

Electrical and computer engineering Professor Barry Van Veen wears an electrode net used to monitor brain activity via EEG signals.

The scientists then subtracted the EEG signals taken in response to a face sequence from those of a pattern - only sequence to extract the unique signature associated with the face stimulus and tracked how this electric signal evolved over time.

This system translates the EEG signals into navigation instructions and transmits them in real time to the robot.

The EEG signal can be processed quickly, allowing fast response times, and the instrument is cheaper and more portable than brain - scanning techniques such as magnetic resonance imaging and positron - emission tomography.

One especially useful EEG signal, named the P300, registers the brain's reaction to a novel event or a flash of recognition.

«The EEG signal gets buried under all this noise — but our system is able to separate not only the EEG signal, but the frequency of the flickering LED within this signal.»

The analysis showed that oxytocin increased the so - called N170 component of the EEG signal in response to infant and adult faces.

When the exoskeleton moves, its motors induce electrical noise in the EEG signal, making the readings unreliable.

The helmet features a soft forehead - based sensor that uses EEG (electroencephalography) to measure electrical activity in the rider's brain, along with an ear - based sensor that's used to remove noise from the EEG signal.

Not exact matches

By using methods and tools such as EEG or MRI, neuromarketing read electrical signals from the brain and analyze them to provide their clients with the answers they need.

ERP's are a type of weak electrical signal (EEG) measurable from the outer surface of the scalp.

You could not directly measure sleep (via EEG / EMG signals), or manipulate any of these environmental variables to actually determine causation in any relationships you may find.

Like ECOG, EEG relies on brain signals picked up by an array of electrodes that are sensitive to the subtle voltage oscillations caused by the firing of groups of neurons.

The exact location of neural activity is far more difficult to discern via EEG than with many other, more invasive methods because the skull, scalp, and cerebral fluid surrounding the brain scatter its electric signals before they reach the electrodes.

Non-invasive techniques record electroencephalogram (EEG) signals along the scalp.

The AI side of the equation is a game changer: with enough training, perhaps it could learn to extract useful signals from a noisy EEG trace.

But the EEG recordings also revealed a signal that appeared in the brain even earlier — 550 milliseconds, on average — before the action.

But when they switched to imagining moving the rat's tail, the change in their focus disrupted the EEG and a signal was sent to the computer.

Brainwave - reading headsets that monitor electroencephalograph (EEG) signals are well established and offer one way of capturing emotional feedback.

The study, which used EEG caps to monitor the brain waves of sleepers in the brain's posterior «hot zone,» pinpointed a new signal that can accurately predict dreaming during non — rapid eye movement sleep.

«They must have developed amplifiers that can amplify the signal better,» says Ethan Buch, a brain — computer interface researcher at the National Institute of Mental Health, who uses an EEG recorder with 64 sensors.

The electric brain signals, measured by using EEG, of males and females show differences.

An EEG device that consists of only 14 sensors and can simply be placed snuggly on the head, without signals becoming significantly dampened and muddled, is also novel.

The professional pianists had to imitate this hand and react accordingly to the irregularities while their brain signals were registered with EEG (Electroencephalography) sensors on the head.

This was measured by EEG (Electroencephalography) sensors on the back of the head, which detected the brain signals in the related brain regions responsible for action planning.

The concept involves converting brain activity, which is commonly recorded as electro - encephalographic (EEG) data, into computer control signals, with the goal of allowing a disabled person to control a computer by merely measuring his or her brain activity.

In the scientific journal Human Brain Mapping they illustrate how a self - learning algorithm decodes human brain signals that were measured by an electroencephalogram (EEG).

In recent years scientists have dramatically improved the power of EEG by writing computer programs that compare recordings from multiple locations around the head and then calculate which regions of the brain are producing the signals.

18 healthy volunteers were monitored by using EEG to measure the electrical activity generated by their brains» neurons (the signalling cells) while simultaneously recording fMRI measurements.

The human provides thought commands that are recognized by the wearable BCI system as electroencephalography (EEG) signals.

The scientists then compared the EEG and fMRI signals and found that they both vary in the same way after the stimulus stops.

This natural variability in the brain response was also reflected by the EEG activity and the researchers suggest that this signal might help the brain make the transition from processing stimuli back to their internal thoughts in different ways.