TY - JOUR A1 - Halder, Sebastian A1 - Hammer, Eva Maria A1 - Kleih, Sonja Claudia A1 - Bogdan, Martin A1 - Rosenstiel, Wolfgang A1 - Birbaumer, Niels A1 - Kübler, Andrea T1 - Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude JF - PLoS ONE N2 - Objective Brain-computer interfaces (BCIs) provide a non-muscular communication channel for patients with late-stage motoneuron disease (e.g., amyotrophic lateral sclerosis (ALS)) or otherwise motor impaired people and are also used for motor rehabilitation in chronic stroke. Differences in the ability to use a BCI vary from person to person and from session to session. A reliable predictor of aptitude would allow for the selection of suitable BCI paradigms. For this reason, we investigated whether P300 BCI aptitude could be predicted from a short experiment with a standard auditory oddball. Methods Forty healthy participants performed an electroencephalography (EEG) based visual and auditory P300-BCI spelling task in a single session. In addition, prior to each session an auditory oddball was presented. Features extracted from the auditory oddball were analyzed with respect to predictive power for BCI aptitude. Results Correlation between auditory oddball response and P300 BCI accuracy revealed a strong relationship between accuracy and N2 amplitude and the amplitude of a late ERP component between 400 and 600 ms. Interestingly, the P3 amplitude of the auditory oddball response was not correlated with accuracy. Conclusions Event-related potentials recorded during a standard auditory oddball session moderately predict aptitude in an audiory and highly in a visual P300 BCI. The predictor will allow for faster paradigm selection. Significance Our method will reduce strain on patients because unsuccessful training may be avoided, provided the results can be generalized to the patient population. KW - experimental design KW - acoustic signals KW - amyotrophic lateral sclerosis KW - man-computer interface KW - electroencephalography KW - event-related potentials KW - physical properties KW - vision Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130327 VL - 8 IS - 2 ER - TY - JOUR A1 - Halder, Sebastian A1 - Ruf, Carolin Anne A1 - Furdea, Adrian A1 - Pasqualotto, Emanuele A1 - De Massari, Daniele A1 - van der Heiden, Linda A1 - Bogdan, Martin A1 - Rosenstiel, Wolfgang A1 - Birbaumer, Niels A1 - Kübler, Andrea A1 - Matuz, Tamara T1 - Prediction of P300 BCI Aptitude in Severe Motor Impairment JF - PLoS ONE N2 - Brain-computer interfaces (BCIs) provide a non-muscular communication channel for persons with severe motor impairments. Previous studies have shown that the aptitude with which a BCI can be controlled varies from person to person. A reliable predictor of performance could facilitate selection of a suitable BCI paradigm. Eleven severely motor impaired participants performed three sessions of a P300 BCI web browsing task. Before each session auditory oddball data were collected to predict the BCI aptitude of the participants exhibited in the current session. We found a strong relationship of early positive and negative potentials around 200 ms (elicited with the auditory oddball task) with performance. The amplitude of the P2 (r = −0.77) and of the N2 (r = −0.86) had the strongest correlations. Aptitude prediction using an auditory oddball was successful. The finding that the N2 amplitude is a stronger predictor of performance than P3 amplitude was reproduced after initially showing this effect with a healthy sample of BCI users. This will reduce strain on the end-users by minimizing the time needed to find suitable paradigms and inspire new approaches to improve performance. KW - amyothropic lateral sclerosis KW - electrode potentials KW - electroencephalography KW - event-related potentials KW - functional magnetic imaging KW - human performance KW - man-computer interface KW - topography Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-97268 ER - TY - JOUR A1 - Höhne, Johannes A1 - Holz, Elisa A1 - Staiger-Sälzer, Pit A1 - Müller, Klaus-Robert A1 - Kübler, Andrea A1 - Tangermann, Michael T1 - Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution JF - PLoS ONE N2 - Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for severely handicapped people with no means of muscular control. These potential users of noninvasive BCIs display a large range of physical and mental conditions. Prior studies have shown the general applicability of BCI with patients, with the conflict of either using many training sessions or studying only moderately restricted patients. We present a BCI system designed to establish external control for severely motor-impaired patients within a very short time. Within only six experimental sessions, three out of four patients were able to gain significant control over the BCI, which was based on motor imagery or attempted execution. For the most affected patient, we found evidence that the BCI could outperform the best assistive technology (AT) of the patient in terms of control accuracy, reaction time and information transfer rate. We credit this success to the applied user-centered design approach and to a highly flexible technical setup. State-of-the art machine learning methods allowed the exploitation and combination of multiple relevant features contained in the EEG, which rapidly enabled the patients to gain substantial BCI control. Thus, we could show the feasibility of a flexible and tailorable BCI application in severely disabled users. This can be considered a significant success for two reasons: Firstly, the results were obtained within a short period of time, matching the tight clinical requirements. Secondly, the participating patients showed, compared to most other studies, very severe communication deficits. They were dependent on everyday use of AT and two patients were in a locked-in state. For the most affected patient a reliable communication was rarely possible with existing AT. KW - eyes KW - signal filtering KW - social communication KW - hands KW - machine learning KW - man-computer interface KW - games KW - electroencephalography Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-119331 VL - 9 IS - 8 ER - TY - JOUR A1 - Kübler, Andrea A1 - Holz, Elisa M. A1 - Riccio, Angela A1 - Zickler, Claudia A1 - Kaufmann, Tobias A1 - Kleih, Sonja C. A1 - Staiger-Sälzer, Pit A1 - Desideri, Lorenzo A1 - Hoogerwerf, Evert-Jan A1 - Mattia, Donatella T1 - The User-Centered Design as Novel Perspective for Evaluating the Usability of BCI-Controlled Applications N2 - Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded tremendously, we still face a translational gap when bringing BCI to end-users. To bridge this gap, we adapted the user-centered design (UCD) to BCI research and development which implies a shift from focusing on single aspects, such as accuracy and information transfer rate (ITR), to a more holistic user experience. The UCD implements an iterative process between end-users and developers based on a valid evaluation procedure. Within the UCD framework usability of a device can be defined with regard to its effectiveness, efficiency, and satisfaction. We operationalized these aspects to evaluate BCI-controlled applications. Effectiveness was regarded equivalent to accuracy of selections and efficiency to the amount of information transferred per time unit and the effort invested (workload). Satisfaction was assessed with questionnaires and visual-analogue scales. These metrics have been successfully applied to several BCI-controlled applications for communication and entertainment, which were evaluated by end-users with severe motor impairment. Results of four studies, involving a total of N = 19 end-users revealed: effectiveness was moderate to high; efficiency in terms of ITR was low to high and workload low to medium; depending on the match between user and technology, and type of application satisfaction was moderate to high. The here suggested evaluation metrics within the framework of the UCD proved to be an applicable and informative approach to evaluate BCI controlled applications, and end-users with severe impairment and in the locked-in state were able to participate in this process. KW - computer software KW - event related potentials KW - games KW - head KW - head injury KW - man-computer interface KW - prototypes KW - speech Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-111051 ER -