Title :
Implementation of a telemonitoring system for the control of an EEG-based brain-computer interface
Author :
Müller, Gernot R. ; Neuper, Christa ; Pfurtscheller, Gert
Author_Institution :
Dept. of Med. Informatics, Univ. of Technol. Graz, Austria
fDate :
3/1/2003 12:00:00 AM
Abstract :
By the use of a brain-computer interface (BCI), it is possible for completely paralyzed patients, who have lost their ability to speak, to have a new possibility to communicate with their environment. The training with such a BCI system can be performed at the patient´s home, if there is a responsible person present who is familiar with the system. This person has to adjust different parameters and to adapt the training individually to each patient. Since this function is usually taken over by the developers of the system, the number of patients who can be included in regular BCI training is restricted due to geographical distances. This paper describes the implementation of a telemonitoring system, which makes it possible for the developer to control and supervise the BCI training from his or her own place of work. First experiences with a patient living far away from the developer´s lab are reported.
Keywords :
biomedical telemetry; electroencephalography; handicapped aids; medical computing; medical control systems; patient monitoring; user interfaces; EEG-based brain-computer interface; completely paralyzed patients; developer´s lab; geographical distances; individual training adaptation; lost ability to speak; parameters adjustment; responsible person; telemonitoring system; Biomedical engineering; Biomedical informatics; Communication channels; Communication system control; Control systems; Electroencephalography; Foot; Image recognition; Pattern recognition; Tongue; Adult; Biofeedback (Psychology); Brain; Cerebral Palsy; Communication Aids for Disabled; Education, Distance; Electroencephalography; Equipment Design; Feasibility Studies; Home Nursing; Humans; Internet; Male; Monitoring, Physiologic; Patient Education as Topic; Teaching; Telemedicine; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2003.810423