We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Brain-Computer Interface Enables Coma Patients to Communicate

By HospiMedica International staff writers
Posted on 07 Jul 2010
Print article
Using a brain-computer interface (BCI) to access thought processes have opened up completely new opportunities to diagnose correctly coma patients and to communicate with them, according to a new report.

Researcher at Liege University Hospital (Belgium) involved in the Coma Science Group investigated the potential of a BCI for the diagnosis of coma patients in a minimally conscious state, and the possibility of communicating with them. The 13 patients involved, and a control group of healthy volunteers, were required to answer 10 to 12 questions using the four commands, ‘yes', ‘no', ‘stop', and ‘go'. The patients answered the question mentally while a speech computer repeated the four possible answers a number of times. Based on their electroencephalographs (EEGs), the researchers were able to ascertain whether the patient concentrated on an answer and if so, which one.

The results of the study showed that three of the ten coma patients could correctly answer more than half of the questions; moreover, all ten managed an average of 25% - 33% correct answers. According to the researchers, an important advantage of this method is that they were not dependent on motor responses, which are not even possible for many patients, and which are often just unconscious reflexes. BCI systems, however, are based on the fact that even the idea of a certain behavior triggers measurable changes in brain activity, which can be converted into signals; the system has already demonstrated very effective communication with patients with locked-in syndrome. The results of the study were presented at the annual meeting of the European Neurological Society (ENS), held during June 2010 in Berlin (Germany).

"A great deal of experience is required to give a definitive diagnosis of the state of consciousness of a coma patient, particularly since difficult ethical questions are linked to the classification,” said study presenter Gustave Moonen, M.D., Ph.D. "Innovative technologies such as the brain-computer-interface may now allow better diagnosis in coma patients of whether consciousness is still existent and how pronounced it is, and for the first time also enable communication with those affected. New studies show that around 40% of patients diagnosed as in a persistent vegetative state, on closer examination, in fact, exhibit signs of consciousness.”

Locked-in syndrome is a condition in which a patient is aware and awake but cannot move or communicate due to complete paralysis of nearly all voluntary muscles in the body, except for the eyes. Total locked-in syndrome is a version of locked-in syndrome where the eyes are paralyzed as well. It is the result of a brain stem lesion in which the ventral (anterior) part of the pons is damaged. In French, the common term is maladie de l'emmuré vivant, literally translated as "walled-in alive disease.”

Related Links:

Liege University Hospital




Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Flocked Fiber Swabs
Puritan® patented HydraFlock®
New
Portable X-ray Unit
AJEX130HN
New
Frontal Apron
601 - Frontal Apron

Print article

Channels

Critical Care

view channel
Image: Artificial intelligence-derived intracranial pressure monitors vital information noninvasively (Photo courtesy of Icahn Mount Sinai)

AI-Driven Tool to Revolutionize Brain Pressure Monitoring in Intensive Care Patients

Intracranial hypertension, characterized by increased pressure within the brain, can lead to severe consequences such as strokes and hemorrhages. Traditionally, monitoring this condition requires invasive... Read more

Surgical Techniques

view channel
Image: CADDIE cloud-based AI for colonoscopy supports doctors to detect and characterize polyps during colonoscopy procedures (Photo courtesy of Odin Vision)

Cloud-Based AI Endoscopy System Assists Gastroenterologists in Detecting Suspected Colorectal Polyps

Colorectal cancer is projected to cause over 53,000 deaths in the U.S. in 2024, ranking as the second leading cause of cancer-related deaths for both men and women. Alarmingly, the incidence in individuals... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Point of Care

view channel
The Atellica VTLi Patient-side Immunoassay Analyzer, a high-sensitivity troponin I test at the bedside, delivers accurate results in just 8 minutes (Photo courtesy of Siemens Healthineers)

New 8-Minute Blood Test to Diagnose or Rule Out Heart Attack Shortens ED Stay

Emergency department overcrowding is a significant global issue that leads to increased mortality and morbidity, with chest pain being one of the most common reasons for hospital admissions.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.