Technology that is already being tested in the field of exo vision, exo sound and exo spectroscopy, could soon become a part of a wider array of medical and healthcare devices, according to research presented at the European Research Council conference on exo technologies.
The exo imaging devices used to study people’s brain functions, including cognitive and motor skills, could eventually be used in other medical devices, such as pacemakers and pacemaking devices, the researchers said.
The devices could potentially be used to detect stroke and other disorders in people, said Dr. Daniel O. Bader, a researcher at the University of Wisconsin-Madison who was the lead author of a paper detailing the work at the conference on Tuesday.
“It’s an interesting and exciting area,” Bader said.
Oscillating sensors “This technology could be very useful in other areas of medicine,” he added.
“The challenge is how to do this safely, because there are all sorts of unknowns in how these devices are put together.”
In the research, researchers from the University College London used the device-agnostic method of measuring brain waves, which can be done with standard equipment.
“You can’t measure a brain wave directly,” said Dr.-Ing.
Daniel W. Moller, an assistant professor of neurosurgery at UCL.
“We can use an oscillating sensor to measure the frequency of the brain wave and then use the brainwave frequency to predict how fast the brain is moving.”
The oscillating sensors, which are usually attached to the scalp, were able to measure brain waves that occur in real time.
The researchers measured the frequency and amplitude of brain waves as a function of the time taken for the signal to travel between the electrode and a brain scanner.
“They measure brain wave activity at the frequency you’re hearing,” said Moller.
“What you can do is pick the frequency at which the brainwaves are most rapid and measure how fast it’s moving.”
In this way, the oscillating signals could be used as a measure of brain activity that is not measured directly by a sensor, he added, and it could be combined with other measures, such to measure how long it takes for the brain to complete a task.
Moller said it is important to note that the EEG sensors could also be used for other purposes besides EEG studies, such in measuring heart rate, blood pressure and blood sugar levels.
“These devices could also help us better understand the effects of different types of stroke and dementia,” he said.
Researchers have used EEG and oscillating sensing to study the function of various brain areas in the brains of patients suffering from stroke.
They have also used EEG sensors to measure heart rate and blood pressure.
“For example, in a stroke patient, if you have a pulse rate of 110 beats per minute, then the oscillations in the brain activity indicate that the brain has not fully recovered,” said Bader.
The findings suggest that EEG and other sensing devices could be a useful tool in other ways as well, he said, such for diagnosing diseases such as Alzheimer’s disease and Parkinson’s disease.
“If you have an EEG sensor that is used in these devices and you measure the rate of brain wave oscillations, then you can also look for changes in the blood pressure, or even see if you’re bleeding,” Mollinger said.
This is an important observation because these are also the kinds of signals that are used in the clinical setting, where blood pressure is monitored.
EEG and waveforms “These are signals that we would use in clinical settings to help us determine whether there are other abnormalities that could be associated with this stroke or dementia,” Moller added.
He also said that EEG sensors are not only sensitive to brain wave frequencies, they can also pick up the rhythm of the heartbeat, or the rhythm that occurs when the heart beats fast and slow, and detect the timing of heart beats.
“That’s important because it shows that the pulse rate is not completely random,” he explained.
These signals can be used very, often very precisely in the clinic.” “
And it is a very, very important signal to help in diagnosing the disease.
These signals can be used very, often very precisely in the clinic.”
Researchers say that EEG, waveforms and other sensors can help to predict when patients will need a pacemaker or an implant.
“When we have a stroke or other neurological disease, you need to be able to predict exactly when it is going to occur,” said Daniel Osterberg, a clinical neurosurgeon at the Harvard-Smithsonian Center for Astrophysics and the University Medical Center of Freiburg, Germany.
“To be able for a pacemaker to be implanted at the appropriate time, you want to know when that is going of,