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This study investigated spectral power of neural oscillations associated with word processing in schizophrenia. Magnetoencephalography (MEG) data were acquired from 12 schizophrenia patients and 10 healthy controls during a visual word processing task. Two spectral power ratio (SPR) feature sets: the band power ratio (BPR) and the window power ratio (WPR) were extracted from MEG data in five frequency...
Obssesive-compulsive disorder (OCD) is a serious mental illness that affects the overall quality of the patients' daily lives. Accurate diagnosis of this disorder is a primary step towards effective treatment. Diagnosing OCD is a lengthy procedure that involves interviews, symptom rating scales and behavioral observation as well as the experience of a clinician. Discovering signal processing and network...
Borderline personality disorder (BPD) is a serious mental illness that can cause significant suffering and carries a risk of suicide. Assigning an accurate diagnosis is critical to guide treatment. Currently, the diagnosis of BPD is made exclusively through the use of clinical assessment; no objective test is available to assist with its diagnosis. Thus, it is highly desirable to explore quantitative...
For the feature extraction of motor imaginary EEG (electroencephalography) in the study of brain-computer interface(BCI), a method of extracting EEG features based on wavelet package combined with ICA (Independent component analysis) was adopted to extract the signals produced by imaginary movement, event related desynchronization or event related synchronization (ERD/ERS). First, in order to eliminate...
Language disorder is a core symptom associated with schizophrenia. This study investigates schizophrenia classification based on brain activity during language processing. 6 healthy controls and 6 schizophrenia patients were instructed to read words and sentences silently while 248 channel magnetoencephalography (MEG) signals were recorded. For each trial, power spectral features were extracted in...
In the project Autonomous City Explorer, an interactive robot is designed to find its way to a given destination in unknown urban environments by interacting with pedestrians. Considering applications in a human dominated environment, the robot can be sent to a destination by tracking a landmark selected by users and described by 2D image features. To achieve a natural landmark selection from the...
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