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About the OpenEEG project
Many people are interested in what is called neurofeedback or EEG biofeedback training, a generic mental training method which makes the trainee consciously aware of the general activity in the brain. This method shows great potential for improving many mental capabilities and exploring consciousness. Other people want to do experiments with brain-computer interfaces or just want to have a look at their brain at work.
Unfortunately, commercial EEG devices are generally too expensive to become a hobbyist tool or toy.
This is a preview of OpenEEGproject: Make “EEG Machine” as Biomedical Project.
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Biomedical engineering students at Rose-Hulman Institute of Technology, Terre Haute, Ind., designed a robotic arm prosthetic arm for a young boy with a condition known as bilateral radial and ulnar hypoplasia, leaving him with no forearms and only two tiny fingers on each hand, according to an article on the Rose-Hulman Website.
The device was specially designed for him by senior biomedical engineering students Sara Telezyn, EJ Oruche and Clay Britton, according to the article.
The students’ project, supervised by professors Kay C Dee, Glen Livesay and Renee Rogge. The prosthetic limb works with the Michael Amerman’s fully functional fingers. The resulting device extends his reach, and allows him greater independence, while being fun and simple to operate, according to the article.
Electroencephalography (EEG) records the electrical signals produced by the brain using an array of electrodes placed on the scalp. Computers use an algorithm called common spatial pattern (CSP) to translate these signals into commands for the control of various devices.
Haiping Lu at the A*A*STAR Institute for Infocomm Research and co-workers[1] have now developed an improved version of CSP for classifying EEG signals. The new algorithm will facilitate the development of advanced brain–computer interfaces that may one day enable paralyzed patients to control devices such as computers and robotic arms.
This is a preview of New Algorithm Reads EEG Signals More efficiently from Brain.
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Introduction
The body produces various physiological signals. The accessibility to these signals is important because
(1) they can be internal (blood pressure)
(2) they may emanate from the body (infrared radiation)
(3) they may be derived from a tissue sample (blood or tissue biopsy)
All physiological signals can be grouped into the following categories –
(1)biopotential
(2) pressure
(3) flow
(4)dimensions( for example : imaging)
(5)displacement (such as velocity, force, andacceleration)
(6) impedence
(7) temperature
(8) chemical concentration and composition.
Some times, it become essential to monitor physiological events from a distant place.
Some of such situations are:
(a) Monitoring of astronauts during flight.
(b) Monitoring of patients in ambulance while transit to hospital.
(c) Monitoring of patients while obtaining their exercise electrocardiogram.
(d) Monitoring of patients who are permitted to stay away from the hospital.
(e) Monitoring of animals in their natural habitat.
(f) Transmission of ECG or other medical information through telephone links
(g) Isolating the patients from electricity operated measuring equipment such as ECG equipment inorder to prevent any accidental shock to them.
Image by .gabriel via Flickr
A team of doctors have written software that creates dynamic, real-time, three-dimensional colour movies of the brain.
“We usually think of cameras as looking out at the world. This is a new kind of camera. It gives you a window on your mind,” the Globe and Mail quoted Mark Doidge, from Toronto, as saying.
The “camera” adapts an algorithm known as eLORETA, amplifies EEG signals from 32 electrodes attached to the cerebral cortex, and converts them into colour-coded movies of neuronal activity.
This is a preview of Watch 3-D Movie of your Own mind with a Camera Developed By Researchers.
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