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The electric properties (EPs) of biological tissue, i.e., the electric conductivity and permittivity, can provide important information in the diagnosis of various diseases. The EPs also play an important role in specific absorption rate calculation, a major concern in high-field MRI, as well as in nonmedical areas such as wireless telecommunications. The(More)
In this paper, a face and eye tracking system for the detection of driver drowsiness is proposed. In order to meet real-time requirements, we use a probability measure based on information theory, which perform fast and robustly. The proposed system consists of two-steps: ROI extraction at the first frame, and eyes tracking at all frames. First, face is(More)
A new approach has been developed by combining the K-mean clustering (KMC) method and a modified convolution kernel compensation (CKC) method for multichannel surface electromyogram (EMG) decomposition. The KMC method was first utilized to cluster vectors of observations at different time instants and then estimate the initial innervation pulse train (IPT).(More)
BACKGROUND For sensorimotor rhythms based brain-computer interface (BCI) systems, classification of different motor imageries (MIs) remains a crucial problem. An important aspect is how many scalp electrodes (channels) should be used in order to reach optimal performance classifying motor imaginations. While the previous researches on channel selection(More)
In this paper, we propose a new method called arbitrary shape region of interest (ROI) coding based on the integer-to-integer shape adaptive discrete wavelet transform (ISA-DWT). Firstly, the whole image is encoded to measure whether the reconstructed ROI PSNR is higher than the target. If it is true, it means that the estimated ROI PSNR is higher than the(More)
This paper describes a high performance servo drive system for an interior permanent magnet linear synchronous motor (IPMLSM) without voltage, speed and position sensors. Both the thrust and the stator flux linkage are controlled directly and maximum thrust per ampere (MTPA) operation is introduced, which makes the method more efficient. In order to control(More)
We propose a new algorithm to derive the anisotropic conductivity of the cerebral white matter (WM) from the diffusion tensor MRI (DT-MRI) data. The transportation processes for both water molecules and electrical charges are described through a common multicompartment model that consists of axons, glia, or the cerebrospinal fluid (CSF). The volume fraction(More)
A finite difference method (FDM) has been implemented to solve the electroencephalogram (EEG) forward problem. This method has been evaluated by means of computer simulations, by comparing with analytic solutions in a three-sphere concentric head model. The effects of dipole eccentricity, spacing of finite difference model and number of grid nodes on(More)
Holes in the skull and the scalp are associated with intracranial monitoring procedures. The purpose of the present study is to evaluate the effects of holes on extracranial electroencephalogram (EEG) and intracranial electrocorticogram (ECoG) recordings. The finite difference method (FDM) was used to model the head volume conductor with a hole of varying(More)