Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients
نویسندگان
چکیده
We have previously demonstrated that an EEG-controlled web browser based on self-regulation of slow cortical potentials (SCPs) enables severely paralyzed patients to browse the internet independently of any voluntary muscle control. However, this system had several shortcomings, among them that patients could only browse within a limited number of web pages and had to select links from an alphabetical list, causing problems if the link names were identical or if they were unknown to the user (as in graphical links). Here we describe a new EEG-controlled web browser, called Nessi, which overcomes these shortcomings. In Nessi, the open source browser, Mozilla, was extended by graphical in-place markers, whereby different brain responses correspond to different frame colors placed around selectable items, enabling the user to select any link on a web page. Besides links, other interactive elements are accessible to the user, such as e-mail and virtual keyboards, opening up a wide range of hypertext-based applications.
منابع مشابه
Neural internet: Web surfing with brain potentials for the completely paralyzed.
Neural Internet is a new technological advancement in brain-computer interface research, which enables locked-in patients to operate a Web browser directly with their brain potentials. Neural Internet was successfully tested with a locked-in patient diagnosed with amyotrophic lateral sclerosis rendering him the first paralyzed person to surf the Internet solely by regulating his electrical brai...
متن کاملIncidence of Electrographic Seizures in Pharmacologically Paralyzed Patients
Objective: Pharmacologically paralyzed patients frequently undergo continuous EEG monitoring (cEEG) to assess for seizures. However, cEEG is costly, consumes valuable resources and there is limited data regarding seizure frequency in this population. Methods: Clinical and EEG data was collected from medical records for patients undergoing cEEG at Emory University between January 1, 2009 and Aug...
متن کاملA new hand assessment instrument for severely affected stroke patients.
BACKGROUND Standard assessment instruments cannot differentiate patients with minimal residual hand function after stroke. As a result, changes in motor recovery are difficult to document using currently-available tests. In a controlled study with chronic stroke patients without residual finger extension, a new hand function test has been developed. This instrument, called Broetz Hand Test (BzH...
متن کاملGive Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cortex as a Potential Control Signal for Implanted Brain Computer Interfaces
© The Author(s) 2014 C. Guger et al. (eds.), Brain-Computer Interface Research, SpringerBriefs in Electrical and Computer Engineering, DOI 10.1007/978-3-319-09979-8_2 The major driving force behind the development of brain computer interfaces (BCI) has been the desire to re-establish communication for severely paralyzed or even locked-in patients. As a consequence, different strategies have bee...
متن کاملClassification of Electroencephalograph Data: A Hubness-aware Approach
Classification of electroencephalograph (EEG) data is the common denominator in various recognition tasks related to EEG signals. Automated recognition systems are especially useful in cases when continuous, long-term EEG is recorded and the resulting data, due to its huge amount, cannot be analyzed by human experts in depth. EEG-related recognition tasks may support medical diagnosis and they ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computational Intelligence and Neuroscience
دوره 2007 شماره
صفحات -
تاریخ انتشار 2007