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Lower limb amputees who wear a conventional passive prosthesis usually consume more metabolic energy than normal persons and may put more pressure on their knees, which eventually results in knee damage. In order to model the muscle activity during human gait, a simulated amputee walking on normal subjects was investigating by adding a 10 lbs. load on their lower right limb during level walking and...
Smooth and convenient user control of prostheses is critical to restore motor and cognitive functions in amputees. This study aims to develop a smart system supporting volitional control of prostheses directly from user' thought without any interface manipulation. An ultra-portable, wireless-enabled, and low powered device prototype was developed to amplify and process multi-channel electroencephalography...
Thousands of accidents and fatalities occur each year due to drowsy and fatigued drivers who choose to operate motor vehicles despite their reduced level of alertness. Actively monitoring Steering Wheel Movements (SWM) has been an important and well documented method for the detection of drowsy driving. Despite the efficacy of the SWM method, it has yet to be widely deployed widely on motor vehicles...
This study aims to propose an effective and practical paradigm for a brain–computer interface (BCI)-based 2-D virtual wheelchair control. The paradigm was based on the multi-class discrimination of spatiotemporally distinguishable phenomenon of event-related desynchronization/synchronization (ERD/ERS) in electroencephalogram signals associated with motor execution/imagery of right/left hand movement...
To achieve reliable two-dimensional cursor control by noninvasive EEG-based brain-computer interface (BCI), users are typically required to receive long-term training to learn effective regulation of their brain rhythmic activities, and to maintain sustained attention during the operation. We proposed a two-dimensional BCI using event-related desynchronization and event-related synchronization associated...
The objective of this research is to explore whether a two-dimensional BCI can be achieved by reliably decoding single-trial magneto-encephalography (MEG) signal associated with sustaining or ceasing right and left hand movements. Seven naiumlve subjects participated in the study. Signals were recorded from 275-channel MEG and synthetic aperture magnetometry (SAM) was employed. The multi-class classification...
This study aims to explore whether human intentions to move or cease to move right and left hands can provide four spatiotemporal patterns in single-trial non-invasive EEG signals to achieve a two-dimensional cursor control. Subjects performed motor tasks by either physical movement or motor imagery. Spatial filtering, temporal filtering, feature selection and classification methods were explored...
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