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Glaucoma is the second leading cause of blindness and it has been the topic of massive studies to explore the underlying mechanisms of the disease. Resting-state neuroimaging studies have been widely applied to investigate the functional damage of the brain, but little is known about the alterations of the interhemispheric resting-state functional connectivity (RSFC) in patients with primary open-angle...
Big network data analysis has become a challenging task not only due to increasing large volume but the appearance of dynamic spatial-temporal relationship. Both network topologies and their link properties are constantly changing as a result of newly established and torn connections. Traditional data mining techniques in large-scale dynamic networks are either incapable or computationally expensive...
Since the data storage capacity per unit area of a QR code is very limited, it is restricted in various QR code applications. In this work, we propose an approach based on visual skew to improve the data capacity of the QR code. Our method can enhance the capacity of the QR code per unit area by using different angle views to combine several QR codes together. The storage capacity of the proposed...
Brain-computer interfaces (BCI) based on Steady State Visual Evoked Potential (SSVEP) can provide higher information transfer rates with minimal user training and require fewer EEG channels than other types of BCIs. The proposed remote control electrical car with SSVEP-Based BCI system combines a customized visual stimulation interface, a brainwave-acquisition platform NeuroScan SynAmps2, a computer...
This paper presents the satellite television remote control system based on brain-computer interface. The Brain Controlled Satellite Television Remote System (BCSTRS) is a real time system that can help the patients suffering from Amyotrophic Lateral Sclerosis (ALS) to select TV channels or adjust volume using their brain waves. In this paper we propose an algorithm including data acquisition and...
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