Brain computer interface control via functional connectivity dynamics

The dynamics of inter-regional communication within the brain during cognitive processing – referred to as functional connectivity – are investigated as a control feature for a brain computer interface. EMDPL is used to map phase synchronization levels between all channel pair combinations in the EEG. This results in complex networks of channel connectivity at all time–frequency locations. The mean clustering coefficient is then used as a descriptive feature encapsulating information about inter-channel connectivity. Hidden Markov models are applied to characterize and classify dynamics of the resulting complex networks. Highly accurate levels of classification are achieved when this technique is applied to classify EEG recorded during real and imagined single finger taps. These results are compared to traditional features used in the classification of a finger tap BCI demonstrating that functional connectivity dynamics provide additional information and improved BCI control accuracies.

Low cost brain-computer interface: first results

Brain-Computer Interfacing (BCI) has been previously demonstrated to restore patient communication, meeting with varying degrees of success. Due to the nature of the equipment traditionally used in BCI experimentation (the electroencephalograph) it is mostly conned to clinical and research environments. The required medical safety standards, subsequent cost of equipment and its application/training times are all issues that need to be resolved if BCIs are to be taken out of the lab/clinic and delivered to the home market. The results in this paper demonstrate a system developed with a low cost medical grade EEG amplier unit in conjunction with the open source BCI2000 software suite thus constructing the cheapest per electrode system available, meeting rigorous clinical safety standards. Discussion of the future of this technology and future work concerning this platform are also introduced.

Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control

Cerebral palsy (CP) includes a broad range of disorders, which can result in impairment of posture and movement control. Brain-computer interfaces (BCIs) have been proposed as assistive devices for individuals with CP. Better understanding of the neural processing underlying motor control in affected individuals could lead to more targeted BCI rehabilitation and treatment options. We have explored well-known neural correlates of movement, including event-related desynchronization (ERD), phase synchrony, and a recently-introduced measure of phase dynamics, in participants with CP and healthy control participants. Although present, significantly less ERD and phase locking were found in the group with CP. Additionally, inter-group differences in phase dynamics were also significant. Taken together these findings suggest that users with CP exhibit lower levels of motor cortex activation during motor imagery, as reflected in lower levels of ongoing mu suppression and less functional connectivity. These differences indicate that development of BCIs for individuals with CP may pose additional challenges beyond those faced in providing BCIs to healthy individuals.

Investigating music tempo as a feedback mechanism for closed-loop BCI control

The feedback mechanism used in a brain-computer interface (BCI) forms an integral part of the closed-loop learning process required for successful operation of a BCI. However, ultimate success of the BCI may be dependent upon the modality of the feedback used. This study explores the use of music tempo as a feedback mechanism in BCI and compares it to the more commonly used visual feedback mechanism. Three different feedback modalities are compared for a kinaesthetic motor imagery BCI: visual, auditory via music tempo, and a combined visual and auditory feedback modality. Visual feedback is provided via the position, on the y-axis, of a moving ball. In the music feedback condition, the tempo of a piece of continuously generated music is dynamically adjusted via a novel music-generation method. All the feedback mechanisms allowed users to learn to control the BCI. However, users were not able to maintain as stable control with the music tempo feedback condition as they could in the visual feedback and combined conditions. Additionally, the combined condition exhibited significantly less inter-user variability, suggesting that multi-modal feedback may lead to more robust results. Finally, common spatial patterns are used to identify participant-specific spatial filters for each of the feedback modalities. The mean optimal spatial filter obtained for the music feedback condition is observed to be more diffuse and weaker than the mean spatial filters obtained for the visual and combined feedback conditions.

Non-visual and multisensory BCI systems: present and future

During the past decade, brain–computer interfaces (BCIs) have rapidly developed, both in technological and application domains. However, most of these interfaces rely on the visual modality. Only some research groups have been studying non-visual BCIs, primarily based on auditory and, sometimes, on somatosensory signals. These non-visual BCI approaches are especially useful for severely disabled patients with poor vision. From a broader perspective, multisensory BCIs may offer more versatile and user-friendly paradigms for control and feedback. This chapter describes current systems that are used within auditory and somatosensory BCI research. Four categories of noninvasive BCI paradigms are employed: (1) P300 evoked potentials, (2) steady-state evoked potentials, (3) slow cortical potentials, and (4) mental tasks. Comparing visual and non-visual BCIs, we propose and discuss different possible multisensory combinations, as well as their pros and cons. We conclude by discussing potential future research directions of multisensory BCIs and related research questions

Is it significant? Guidelines for reporting BCI performance

Recent growth in brain-computer interface (BCI) research has increased pressure to report improved performance. However, different research groups report performance in different ways. Hence, it is essential that evaluation procedures are valid and reported in sufficient detail. In this chapter we give an overview of available performance measures such as classification accuracy, cohen’s kappa, information transfer rate (ITR), and written symbol rate. We show how to distinguish results from chance level using confidence intervals for accuracy or kappa. Furthermore, we point out common pitfalls when moving from offline to online analysis and provide a guide on how to conduct statistical tests on (BCI) results.

An optimized auditory P300 BCI based on spatially distributed sound in different voices

In this paper, a new paradigm is presented, to improve the performance of audio-based P300 Brain-computer interfaces (BCIs), by using spatially distributed natural sound stimuli. The new paradigm was compared to a conventional paradigm using spatially distributed sound to demonstrate the performance of this new paradigm. The results show that the new paradigm enlarged the N200 and P300 components, and yielded significantly better BCI performance than the conventional paradigm.

Motor imagery induced EEG patterns in spinal cord injury patients and their impact on Brain-Computer Interface accuracy

OBJECTIVE: Assimilating the diagnosis complete spinal cord injury (SCI) takes time and is not easy, as patients know that there is no 'cure' at the present time. Brain-computer interfaces (BCIs) can facilitate daily living. However, inter-subject variability demands measurements with potential user groups and an understanding of how they differ to healthy users BCIs are more commonly tested with. Thus, a three-class motor imagery (MI) screening (left hand, right hand, feet) was performed with a group of 10 able-bodied and 16 complete spinal-cord-injured people (paraplegics, tetraplegics) with the objective of determining what differences were present between the user groups and how they would impact upon the ability of these user groups to interact with a BCI. APPROACH: Electrophysiological differences between patient groups and healthy users are measured in terms of sensorimotor rhythm deflections from baseline during MI, electroencephalogram microstate scalp maps and strengths of inter-channel phase synchronization. Additionally, using a common spatial pattern algorithm and a linear discriminant analysis classifier, the classification accuracy was calculated and compared between groups. MAIN RESULTS: It is seen that both patient groups (tetraplegic and paraplegic) have some significant differences in event-related desynchronization strengths, exhibit significant increases in synchronization and reach significantly lower accuracies (mean (M) = 66.1%) than the group of healthy subjects (M = 85.1%). SIGNIFICANCE: The results demonstrate significant differences in electrophysiological correlates of motor control between healthy individuals and those individuals who stand to benefit most from BCI technology (individuals with SCI). They highlight the difficulty in directly translating results from healthy subjects to participants with SCI and the challenges that, therefore, arise in providing BCIs to such individuals.

An optimized ERP Brain-computer interface based on facial expression changes

OBJECTIVE: Interferences from spatially adjacent non-target stimuli are known to evoke event-related potentials (ERPs) during non-target flashes and, therefore, lead to false positives. This phenomenon was commonly seen in visual attention-based brain-computer interfaces (BCIs) using conspicuous stimuli and is known to adversely affect the performance of BCI systems. Although users try to focus on the target stimulus, they cannot help but be affected by conspicuous changes of the stimuli (such as flashes or presenting images) which were adjacent to the target stimulus. Furthermore, subjects have reported that conspicuous stimuli made them tired and annoyed. In view of this, the aim of this study was to reduce adjacent interference, annoyance and fatigue using a new stimulus presentation pattern based upon facial expression changes. Our goal was not to design a new pattern which could evoke larger ERPs than the face pattern, but to design a new pattern which could reduce adjacent interference, annoyance and fatigue, and evoke ERPs as good as those observed during the face pattern. APPROACH: Positive facial expressions could be changed to negative facial expressions by minor changes to the original facial image. Although the changes are minor, the contrast is big enough to evoke strong ERPs. In this paper, a facial expression change pattern between positive and negative facial expressions was used to attempt to minimize interference effects. This was compared against two different conditions, a shuffled pattern containing the same shapes and colours as the facial expression change pattern, but without the semantic content associated with a change in expression, and a face versus no face pattern. Comparisons were made in terms of classification accuracy and information transfer rate as well as user supplied subjective measures. MAIN RESULTS: The results showed that interferences from adjacent stimuli, annoyance and the fatigue experienced by the subjects could be reduced significantly (p < 0.05) by using the facial expression change patterns in comparison with the face pattern. The offline results show that the classification accuracy of the facial expression change pattern was significantly better than that of the shuffled pattern (p < 0.05) and the face pattern (p < 0.05). SIGNIFICANCE: The facial expression change pattern presented in this paper reduced interference from adjacent stimuli and decreased the fatigue and annoyance experienced by BCI users significantly (p < 0.05) compared to the face pattern.

FORCe: fully online and automated artifact removal for brain-computer interfacing

A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing. The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able to operate on a small channel set during online EEG acquisition and does not require additional signals (e.g. electrooculogram signals). Evaluation of FORCe is performed offline on EEG recorded from 13 BCI particpants with cerebral palsy (CP) and online with three healthy participants. The method outperforms the state-of the-art automated artifact removal methods Lagged auto-mutual information clustering (LAMIC) and Fully automated statistical thresholding (FASTER), and is able to remove a wide range of artifact types including blink, electromyogram (EMG), and electrooculogram (EOG) artifacts.

Movement intention detection from autocorrelation of EEG for BCI

Movement intention detection is important for development of intuitive movement based Brain Computer Interfaces (BCI). Various complex oscillatory processes are involved in producing voluntary movement intention. In this paper, temporal dynamics of electroencephalography (EEG) associated with movement intention and execution were studied using autocorrelation. It was observed that the trend of decay of autocorrelation of EEG changes before and during the voluntary movement. A novel feature for movement intention detection was developed based on relaxation time of autocorrelation obtained by fitting exponential decay curve to the autocorrelation. This new single trial feature was used to classify voluntary finger tapping trials from resting state trials with peak accuracy of 76.7%. The performance of autocorrelation analysis was compared with Motor-Related Cortical Potentials (MRCP).

Gerenciamento de serviços de tecnologia da informação, utilizando a biblioteca de boas práticas ITIL

O ITIL é uma biblioteca de boas práticas nos serviços de Tecnologia da Informação (TI), desenvolvida no final dos anos 80 pela CCTA (Central Computer and Telecommunications Agency) e atualmente sob custódia da OGC (Office for Government Commerce) da Inglaterra, buscando promover a gestão com foco no cliente e na qualidade dos serviços de tecnologia da informação (TI). Portanto, este trabalho teve como objetivo verificar a aplicação do ITIL em algumas empresas da região do ABC Paulista, bem como transmitir uma visão geral dos serviços, criando uma familiaridade com os processos de gerenciamento de serviços em TI. Participaram do seguinte estudo 19 sujeitos de ambos os sexos, sendo que 14 eram do sexo masculino e 5 do sexo feminino, onde os mesmos responderam o questionário de pesquisa. Observou-se então quais foram os benefícios, quantidade de profissionais certificados nos departamentos e também um dos itens mais importantes que as empresas buscam hoje em dia: a redução de custos de TI.

Um Estudo dos efeitos organizacionais e sociais da utilização da tecnologia Groupware Lotus Notes na administração pública do Estado do Paraná

Em 1995, o Estado do Paraná escolheu o software Lotus Notes como solução de correio eletrônico distribuído e automação de escritórios para suas estruturas organizacionais. Após 5 anos do início do processo de sua implantação, a previsão inicial de 3.600 licenças de uso dessa tecnologia groupware já foi amplamente superada. Existem atualmente mais de 9.000 usuários do Lotus Notes, distribuídos em praticamente todos os níveis da administração pública. Essa dissertação é o primeiro estudo formal realizado para avaliar os impactos organizacionais e sociais produzidos pela utilização de tecnologias de informação colaborativas na administração pública do Paraná. Os capítulos que fazem parte dessa dissertação focalizam em tecnologias de informação colaborativas, com ênfase no Lotus Notes e a sua utilização na administração pública. Inicialmente são introduzidos conceitos básicos sobre Groupware e CSCW (Computer-Supported Cooperative Work), em seguida é apresentado o Lotus Notes, com um breve histórico de sua criação e uma visão resumida de pesquisas acadêmicas sobre implementações dessa tecnologia. Na seqüência, o ambiente de informática da administração pública do Estado do Paraná e a questão da seleção de uma plataforma tecnológica para resolver o problema de comunicação nesse ambiente são descritos, assim como o processo de implantação do Lotus Notes no Estado. A parte principal desse trabalho é apresentada em seguida: uma ampla pesquisa realizada nos órgãos da administração pública sobre a utilização do Lotus Notes, operacionalizada através de questionários virtuais e entrevistas. O modelo referencial utilizado na pesquisa é mostrado, assim como seu embasamento conceitual e as variáveis consideradas nas questões. Na conclusão são comentados os principais resultados do trabalho realizado, as contribuições e benefícios de sua realização, assim como sugestões de continuidade para futuras pesquisas sobre o assunto.

O Impacto da tecnologia da informação no ensino do curso de graduação em administração de empresas: estudo de caso do Centro Superior de Vila Velha

This study analyses the impact of Information Technology used in the undergraduate course of Business Administration at Centro Superior de Vila Velha. The Information Technology considered in the study is computer connected to the Internet, projectors, televisions and VCRs. To support the analysis, a survey was conducted in three different groups: directors (shareholders, principal, dean and chairperson), faculty and students. A questionnaire was developed for each group and validated through discussions and critical reviews by the academic committee for of this study. Items and questions were explicitly defined from the literature and based on expert opinion to provide respondents with a common understanding of the questions. The questionnaire used in the directors group focused mainly on motivation and on the investment planning for Information Technology in the institution. For the faculty and student groups, the questionnaire focused on the extent to what the group use of IT for classes and assignments, and to what extent the faculty understands the availability of IT to be used. The instrument was sent each person, for directors and faculty, and applied during class for students. The results show that although faculty and students perceive Information Technology are important for research and as a tool in the teaching and learning process, the available IT in the institution has been used under its capacity of utilization.

Gestão verde de tecnologia da informação e comunicação: fatores que influenciam a sua adoção em grandes empresas usuárias no Brasil

A crescente utilização de recursos de informática e comunicação nas empresas, visando modernização, agilidade, redução de custos e outros, tem trazido diversos benefícios, mas tem também se tornado um enorme problema para o planeta. A quantidade de lixo eletrônico (e-waste) gerada pelos equipamentos de informática e comunicação tem dobrado a cada cinco anos, se tornando um dos principais focos de atenção nos últimos anos. O volume de lixo eletrônico gerado pelo descarte de equipamentos de informática e comunicação (TIC), já ultrapassa a marca de 50 milhões de toneladas por ano, o que equivale a oito vezes a produção total de resíduos da cidade de São Paulo. O mercado brasileiro total de eletrônicos é considerado o quinto do mundo, depois da China, Estados Unidos, Japão e Rússia. A produção total de lixo eletrônico no Brasil em 2011 foi de um milhão de toneladas e a parte referente a equipamentos de TIC foi estimada em 98 mil toneladas. Frente a este contexto este estudo visa contribuir para a expansão do conhecimento na gestão verde da cadeia de suprimentos (GSCM) aplicado à realidade empresarial brasileira de TIC. Especificamente pretende-se identificar quais fatores influenciam o processo de adoção e aplicação da gestão verde de TIC, em grandes empresas usuárias de TIC no Brasil, a partir dos modelos propostos por Molla (2008) e Molla e Coopers (2008). Desta forma buscou-se responder ao seguinte problema de pesquisa: quais fatores influenciam grandes empresas usuárias de tecnologia da informação e comunicação (TIC) no Brasil na adoção de conceitos de gestão de verde? Para isto, foi realizado estudo de caso em seis grandes empresas, todas lideres em seus setores, representando grandes áreas de serviços e manufatura. Como resultado final, foi proposto um novo modelo analítico, que pareceu mais adequado ao setor de serviços. O estudo também identificou que na gestão verde de TIC empresas manufatureiras tem prioridades diferentes das de serviço. Muitas vezes seus desafios operacionais são mais críticos em relação à sustentabilidade, que a gestão verde de TIC em si. Por outro lado, o estudo dos serviços prestados pelo setor público apesar dos grandes orçamentos anuais, apontou restrições quanto aos aspectos legais e deficiência de qualificação e capacitação de seus colaboradores como fatores limitantes para a implantação de programas de gestão verde mais abrangentes.