Implementation of a telemonitoring system for the control of an EEG-based brain-computer interface

被引:20
作者
Müller, GR [1 ]
Neuper, C
Pfurtscheller, G
机构
[1] Graz Univ Technol, Dept Med Informat, Dept Biomed Engn, A-8010 Graz, Austria
[2] Graz Univ Technol, Ludwig Boltzmann Inst Med Informat & Neuroinforma, A-8010 Graz, Austria
关键词
brain-computer interface (BCI); electroencephalogram (EEG); telemonitoring (TM) system;
D O I
10.1109/TNSRE.2003.810423
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:54 / 59
页数:6
相关论文
共 16 条
[1]   A spelling device for the paralysed [J].
Birbaumer, N ;
Ghanayim, N ;
Hinterberger, T ;
Iversen, I ;
Kotchoubey, B ;
Kübler, A ;
Perelmouter, J ;
Taub, E ;
Flor, H .
NATURE, 1999, 398 (6725) :297-298
[2]  
Bishop C. M., 1995, NEURAL NETWORKS PATT
[3]   Rapid prototyping of an EEG-based brain-computer interface (BCI) [J].
Guger, C ;
Schlögl, A ;
Neuper, C ;
Walterspacher, D ;
Strein, T ;
Pfurtscheller, G .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2001, 9 (01) :49-58
[4]   Direct control of a computer from the human central nervous system [J].
Kennedy, PR ;
Bakay, RAE ;
Moore, MM ;
Adams, K ;
Goldwaithe, J .
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02) :198-202
[5]   Brain-computer communication:: Self-regulation of slow cortical potentials for verbal communication [J].
Kübler, A ;
Neumann, N ;
Kaiser, J ;
Kotchoubey, B ;
Hinterberger, T ;
Birbaumer, NP .
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2001, 82 (11) :1533-1539
[6]   Feature extraction for on-line EEG classification using principal components and linear discriminants [J].
Lugger, K ;
Flotzinger, D ;
Schlogl, A ;
Pregenzer, M ;
Pfurtscheller, G .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1998, 36 (03) :309-314
[7]   Clinical application of an EEG-based brain-computer interface:: a case study in a patient with severe motor impairment [J].
Neuper, C ;
Müller, GR ;
Kübler, A ;
Birbaumer, N ;
Pfurtscheller, G .
CLINICAL NEUROPHYSIOLOGY, 2003, 114 (03) :399-409
[8]   Hidden Markov models for online classification of single trial EEG data [J].
Obermaier, B ;
Guger, C ;
Neuper, C ;
Pfurtscheller, G .
PATTERN RECOGNITION LETTERS, 2001, 22 (12) :1299-1309
[9]   Information transfer rate in a five-classes brain-computer interface [J].
Obermaier, B ;
Neuper, C ;
Guger, C ;
Pfurtscheller, G .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2001, 9 (03) :283-288
[10]  
OBERMAIER B, 2002, IN PRESS IEEE T REHA