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This paper proposes a novel and simple local neural classifier for the recognition of mental tasks from on-line spontaneous EEG signals. The proposed neural classifier recognizes three mental tasks from on-line spontaneous EEG signals. Correct recognition is around 70%. This modest rate is largely compensated by two properties, namely low percentage of(More)
There is a growing interest in the use of physiological signals for communication and operation of devices for the severely motor disabled as well as for healthy people. A few groups around the world have developed brain-computer interfaces (BCIs) that rely upon the recognition of motor-related tasks (i.e., imagination of movements) from on-line EEG(More)
Mental disorders have a large impact on individuals, families, and communities, and are one of the main causes worldwide of disability and distress. Correct diagnosis of mental disorders is essential in clinical practice, pharmacological research, and successful treatment. Patients with mental retardation often have multiple and sometimes complicated(More)
The pilot project KiK ("Kinder in Kitas," Children in Preschools) aims to support preschools in the early detection of developmental delays and to initiate individual intervention strategies. KiK was performed as a randomized, controlled prospective study in 12 preschools in Mecklenburg-West Pomerania (MWP). The Dortmund Developmental Screening for(More)
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