Background:Previous studies have indicated that the cognitive deficits in patients with Alzheimer's disease (AD) may be due to topological deteriorations of the brain ***,whether the selection of a specific freque...
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Background:Previous studies have indicated that the cognitive deficits in patients with Alzheimer's disease (AD) may be due to topological deteriorations of the brain ***,whether the selection of a specific frequency band could impact the topological properties is still not *** hypothesis is that the topological properties of AD patients are also ***:Resting state functional magnetic resonance imaging data from l0 right-handed moderate AD patients (mean age:64.3 years; mean mini mental state examination [MMSE]:18.0) and 10 age and gender-matched healthy controls (mean age:63.6 years; mean MMSE:28.2) were enrolled in this *** global efficiency,the clustering coefficient (CC),the characteristic path length (CpL),and "small-world" property were calculated in a wide range of thresholds and averaged within each group,at three different frequency bands (0.01-0.06 Hz,0.06-0.11 Hz,and 0.11-0.25 Hz).Results:At lower-frequency bands (0.01-0.06 Hz,0.06-0.11 Hz),the global efficiency,the CC and the "small-world" properties of AD patients decreased compared to *** at higher-frequency bands (0.11-0.25 Hz),the CpL was much longer,and the "small-world" property was disrupted in AD,particularly at a higher *** topological properties changed with different frequency bands,suggesting the existence of disrupted global and local functional organization associated with ***:This study demonstrates that the topological alterations of large-scale functional brain networks inAD patients are frequency dependent,thus providing fundamental support for optimal frequency selection in future related research.
It is inevitable that noises will be introduced during the acquisition of pulse wave signal, which can result in morphology changes of the original pulse wave,and affect the hemodynamic analysis and diagnosis based on...
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It is inevitable that noises will be introduced during the acquisition of pulse wave signal, which can result in morphology changes of the original pulse wave,and affect the hemodynamic analysis and diagnosis based on pulse wave signals. In order to remove these noises, an adaptive de-noising method based on empirical mode decomposition(EMD) and wavelet threshold is proposed in this paper. Compared with the wavelet threshold method for denoising pulse wave, the proposed approach is more effective, especially at low signal-to-noise ratio.
The increasing utilization of telemedicine, especially the teleradiology services, has raised a great deal of concerns in the security of medicalimages transmitted over open networks. To meet this challenge, a new me...
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ISBN:
(纸本)9781479980734
The increasing utilization of telemedicine, especially the teleradiology services, has raised a great deal of concerns in the security of medicalimages transmitted over open networks. To meet this challenge, a new medicalimage protection scheme using hyperchaos-based encryption is suggested in this paper. Improvements have been made to both permutation and diffusion methods to address the security problems encountered by many existing chaos-based image ciphers. In the permutation stage, a pixel swapping-based strategy is introduced instead of using the area-preserving chaotic maps, and the swapping operation is determined by the first two state variables of the employed 4-D hyperchaotic system. During the diffusion procedure, the key stream elements, quantified from the other two state variables, are circularly shifted according to the plain-pixels. Consequently, the keystream is related to both the key and the plain-image, which ensures the security against known/ chosen-plaintext attack. Thorough experimental tests are carried out and the results indicate that the proposed scheme provides an effective way for online secure medicalimage transmission over public networks.
This paper addresses the dynamic recovery problem in the wavelength division multiplexing mesh networks with traffic grooming capacity. We propose two restoration schemes. They are connection dynamic restoration schem...
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This paper proposed a novel image compression algorithm based on Gabor transform and fractal theory. First, texture features of image blocks were extracted based on Gabor transform;then cluster process were conducted ...
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Outlier detection on data streams is an important task in data mining. The challenges become even larger when considering uncertain data. This paper studies the problem of outlier detection on uncertain data streams. ...
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Outlier detection on data streams is an important task in data mining. The challenges become even larger when considering uncertain data. This paper studies the problem of outlier detection on uncertain data streams. We propose Continuous Uncertain Outlier Detection (CUOD), which can quickly determine the nature of the uncertain elements by pruning to improve the efficiency. Furthermore, we propose a pruning approach -- Probability Pruning for Continuous Uncertain Outlier Detection (PCUOD) to reduce the detection cost. It is an estimated outlier probability method which can effectively reduce the amount of calculations. The cost of PCUOD incremental algorithm can satisfy the demand of uncertain data streams. Finally, a new method for parameter variable queries to CUOD is proposed, enabling the concurrent execution of different queries. To the best of our knowledge, this paper is the first work to perform outlier detection on uncertain data streams which can handle parameter variable queries simultaneously. Our methods are verified using both real data and synthetic data. The results show that they are able to reduce the required storage and running time.
This paper proposed a novel image ROI coding method. First, an abdominal CT image is divided into two parts, the region of interest and the region of no interest;then, the two parts are coded separately based on Huffm...
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Lung vessels often interfere with the detection of lung nodules. In this paper, a novel computer-Aided lung nodule detection scheme on vessel segmentation is proposed. This paper describes an active contour model whic...
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Internet worm can spread not only via networks but also through external removable devices. In this paper, considering the influence of removable media, we construct two new worm propagation models. By analyzing the l...
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Previous models regarded infection rate as a constant which failed to catch the dynamical process of the infection rates. In this paper, we proposed a SIQRS model with the variable infection rate for the first time. T...
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