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2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

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Smartphone-based fall detection algorithm using feature extraction 基于智能手机的特征提取跌倒检测算法
Yu-Wei Hsu, Kuang-Hsuan Chen, Jing-Jung Yang, F. Jaw
The danger of falling among the elderly is a public concern and is becoming an important issue that needs further attention. Sensors embedded in smartphones provide information about user activity, such as the accelerometer which is widely used in fall detection. In this paper, we propose a fall detection algorithm which is formed by feature extraction processing and recognition processing. A total of six features were calculated in feature extraction processing. Four of them are related to the gravity vector which is extracted from accelerometer data by using low-pass filtering. As falling mostly occurs in a vertical direction, the gravity-related features are useful. In recognition processing, a set of six features was clustered by support vector machine. The main feature - acceleration in the gravity vector direction - contains the vertical directional information and provides a distinct pattern of fall-related activity. This feature acts as a trigger-key in recognition processing to avoid false alarms which lead to excessive computation. The results show that our algorithm could achieve a sensitivity of 96.67% and specificity of 95%.
老年人摔倒的危险是一个公众关注的问题,正在成为一个需要进一步关注的重要问题。嵌入智能手机的传感器可以提供用户活动的信息,比如被广泛用于跌倒检测的加速度计。本文提出了一种由特征提取处理和识别处理组成的跌倒检测算法。在特征提取处理中,共计算了6个特征。其中四个与重力矢量有关,重力矢量是通过低通滤波从加速度计数据中提取出来的。由于坠落主要发生在垂直方向,因此与重力相关的特征是有用的。在识别处理中,使用支持向量机对6个特征进行聚类。主要特征-重力矢量方向上的加速度-包含垂直方向信息,并提供与跌倒相关的活动的独特模式。该特性在识别处理中起到触发键的作用,避免误报导致计算量过大。结果表明,该算法的灵敏度为96.67%,特异性为95%。
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引用次数: 28
No-reference image sharpness Algorithm based on gradient shape 基于梯度形状的无参考图像清晰度算法
Jun Ni, Gen Luo, Tao Yu, NingChuan Li
Image sharpness is an important aspect of image quality. It used to measure the degree of focus at the time of image acquisition. It also play an important role for video compression. Here, one new sharpness algorithm based on gradient shape is introduced in this paper. which is used for no-reference Image .The algorithm gets region of Interest in image firstly, then search the edge which can present sharpness information in selected region . It calculates edge transition zone width, then gets gray contrast in edge region, finally a probability summation algorithm model be set by these factors. This algorithm can calculate the sharpness degree of different images. A lot of experimental results show that this sharpness algorithm is effective and keep consistency with human subjective judgment. It can be used to describe the no-reference image sharpness effectively.
图像清晰度是图像质量的一个重要方面。它用于测量图像采集时的聚焦程度。它在视频压缩中也起着重要的作用。本文提出了一种新的基于梯度形状的图像清晰度算法。该算法首先在图像中获取感兴趣的区域,然后在选中的区域中搜索能够呈现锐度信息的边缘。首先计算边缘过渡区宽度,然后对边缘区域进行灰度对比,最后根据这些因素建立概率求和算法模型。该算法可以计算不同图像的清晰度。大量的实验结果表明,这种锐度算法是有效的,与人类的主观判断保持一致。它可以有效地描述无参考图像的清晰度。
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引用次数: 1
Parallel subgraph matching on massive graphs 海量图上的并行子图匹配
Bo Suo, Zhanhuai Li, Wei Pan
While numerous applications, such as social networks, protein-protein interaction networks, and bibliographic networks, mainly consist of graph-structured data, massive graphs, of which the scales range from million nodes to billion nodes, are common-place. Searching within these kinds of graphs is urged to be efficient. Unfortunately, since the subgraph isomorphism problem is NP-complete, querying on large graphs is still challenging.
虽然许多应用,如社交网络、蛋白质-蛋白质交互网络和书目网络,主要由图结构数据组成,但规模从百万节点到十亿节点的大规模图是常见的。在这类图中进行搜索是为了提高效率。不幸的是,由于子图同构问题是np完全的,在大图上查询仍然是一个挑战。
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引用次数: 0
A low-cost PPG-based device for monitoring sleep apnea syndrome 一种低成本的基于ppg的监测睡眠呼吸暂停综合征的设备
Ye Xu, Jin Li, Xiang Chen, Jianxin Wei
At present, the diagnosis of sleep apnea syndrome requires patients to wear the PSG sensors all night long in hospital, which is so inconvenient and expensive that millions of sleep apnea patients can't receive diagnosis and treatment. We propose a low-cost sleep monitoring device to be used at the comfort of home based on photoplethysmography (PPG) with only single photoelectric sensor, which can simultaneously obtain oxygen saturation, pulse rate, respiration rate, heart rate variability analysis and body motions to realize the basic monitoring of circulatory, respiratory, nervous system and motor system. The device consists of two light emitting diodes, a probe-drive module, an optical - frequency converter, a microcontroller MSP430F5438A, a wireless transceiver module and a Micro SD card module. The evaluations by commercial BIOPAC systems demonstrate the feasibility of our proposed device.
目前,睡眠呼吸暂停综合征的诊断需要患者在医院整夜佩戴PSG传感器,这不仅不方便,而且价格昂贵,数百万睡眠呼吸暂停患者无法得到诊断和治疗。我们提出一种基于光电体积脉搏波(photoplethysmography, PPG)的低成本睡眠监测装置,只需一个光电传感器,即可同时获得血氧饱和度、脉搏率、呼吸率、心率变异性分析和身体运动,实现循环、呼吸、神经系统和运动系统的基本监测。该器件由两个发光二极管、一个探头驱动模块、一个光频转换器、一个微控制器MSP430F5438A、一个无线收发模块和一个Micro SD卡模块组成。商业BIOPAC系统的评估证明了我们提出的设备的可行性。
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引用次数: 2
A single image de-hazing algorithm based on hybrid filter 一种基于混合滤波的单幅图像去雾算法
Wei-lan Wang, Youguang Chen
Images captured in foggy weather often suffer from bad visibility, because of bad atmospheric visibility. The existence of particles, dust and water impurities always fade the color and lead to a bad contrast of the observed objects. And then, we will feel indistinct by our eyes. We introduce a novel algorithm of single image that based on hybrid filter in this paper. The algorithm is based on an advanced median filter, and combined with average filter. The visibility of photos has been greatly improved by use of iteration. Experimental results on a variety of haze images demonstrate the effectiveness of the advanced method, which contains the fast speed of Median filter and also gets more distinct in details compared with other algorithms. The main advantage of the proposed algorithm compared with others is its speed. This speed allows visibility restoration to be applied for the first time within real-time processing applications such as sign, lane-marking and obstacle detection.
由于大气能见度差,在大雾天气中拍摄的图像往往能见度差。颗粒、灰尘和水杂质的存在总是使颜色褪色,导致观察到的物体对比度差。然后,我们会觉得我们的眼睛模糊不清。本文介绍了一种新的基于混合滤波的单幅图像提取算法。该算法基于一种先进的中值滤波器,并与平均滤波器相结合。通过迭代的使用,大大提高了照片的可见性。在各种雾霾图像上的实验结果证明了该方法的有效性,该方法不仅具有中值滤波速度快的优点,而且在细节上也比其他算法更加清晰。与其他算法相比,该算法的主要优点是速度快。这种速度使得能见度恢复首次应用于实时处理应用,如标志、车道标记和障碍物检测。
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引用次数: 0
A local path planning algorithm under the variable planning size 一种可变规划规模下的局部路径规划算法
Teng Wan, Ce Li, Yachao Zhang
The research in the field of the localization and navigation of mobile robot is becoming more and more significant. Among them, the local real-time path planning for robot autonomous navigation in complex environment is particularly important. However, the current local path planning algorithms are all planning the local path in the same plan-scope. Sometimes, this situation leads to a waste of time and computing resources. Therefore, in this article, a new path planning method called the variable planning size (VPS) for robot in static workspace is presented. In this paper, the graph theory is the basic algorithm of path planning. In addition, the mobile robot using this algorithm could autonomous to decide the planning scope according to the complexity of the surrounding environment. Therefore, in a complex environment, the robot is more efficient to find a local optimal path. As a result, the VPS path planning algorithm can plan out of the local optimal path preferably.
移动机器人定位与导航领域的研究越来越重要。其中,复杂环境下机器人自主导航的局部实时路径规划尤为重要。然而,目前的局部路径规划算法都是在同一个规划范围内规划局部路径。有时,这种情况会导致时间和计算资源的浪费。因此,本文提出了一种新的机器人静态工作空间路径规划方法——变规划尺寸(VPS)。本文将图论作为路径规划的基本算法。此外,采用该算法的移动机器人可以根据周围环境的复杂程度自主确定规划范围。因此,在复杂的环境中,机器人更有效地找到局部最优路径。因此,VPS路径规划算法可以较好地规划出局部最优路径。
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引用次数: 0
Research and implementation of 3D SLAM algorithm based on Kinect depth sensor 基于Kinect深度传感器的三维SLAM算法的研究与实现
Ce Li, Hao Wei, Tian Lan
For the 3D perception problem of mobile robots in unknown indoor environments, a practical approach to building 3D maps using a low-cost Kinect sensor is proposed. Successive frames of RGB-D information are captured during the robots movements. First, SIFT(Scale-invariant Feature Transform)detector is applied to color images for extracting and matching stable feature points. Then, combined with the GTM(Graph Transformation Matching) algorithm to eliminate the possible existence of false matching points and complete the initial registration, so as to estimate the rough relative transfer between the image frames. Finally, using the ICP(Iterative Closest Point) algorithm, the robot's motion parameters are continuously updated to update the robot posture, and based on this, the 3D map of the indoor environment is created based on the combination of depth information. Experimental results validate the feasibility and effectiveness of the approach
针对移动机器人在未知室内环境中的三维感知问题,提出了一种使用低成本Kinect传感器构建三维地图的实用方法。在机器人运动过程中捕获连续帧的RGB-D信息。首先,将SIFT(Scale-invariant Feature Transform)检测器应用于彩色图像,提取并匹配稳定的特征点;然后,结合GTM(Graph Transformation Matching)算法,消除可能存在的假匹配点,完成初始配准,从而估计图像帧之间的粗相对转移。最后,利用ICP(Iterative nearest Point,迭代最近点)算法,不断更新机器人的运动参数,更新机器人的姿态,并在此基础上结合深度信息创建室内环境的三维地图。实验结果验证了该方法的可行性和有效性
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引用次数: 4
High-quality intraoperative volume rendering in surgical navigation 高质量术中体积绘制在外科导航中的应用
Qi Huang, Shaoqiang Chen
In the past thirty years, with the tremendous development of computer graphics, various techniques have been proposed to solve problem of medical images, like CT and MRI data, visualization[1][2]. These techniques include iso-surface rendering [3][4], volume ray casting[5][6], texture-based volume rendering and so on. Sometimes it is necessary to perform medical grinding work to cure a person in operation like otitis. The corresponding parts around ears in application cannot display on the screen like it disappeared in real world. This paper will present a basic surgical navigation framework and provide a method to display the medical data volume dynamic in surgical navigation system. The visualization technique is direct volume rendering that do not extract any polygon meshes from volumetric data and can easily implement on GPU by OpenGL shader program. It also employs a mask to control whether this part of input model should display on the screen. The mask is as the same dimensions as the input volumetric data. To eliminate the jagged edges and achieve iterative rate, a 3D Gaussian filter loaded in shader program executed by GPU (Graphics Processing Unit).
近三十年来,随着计算机图形学的巨大发展,人们提出了各种技术来解决医学图像的问题,如CT和MRI数据的可视化[1][2]。这些技术包括等面渲染[3][4]、体射线投射[5][6]、基于纹理的体渲染等。有时,为了治疗手术中的病人,如中耳炎,需要进行医学研磨工作。应用中耳朵周围的相应部位不能像在现实世界中消失一样在屏幕上显示。本文提出了一个基本的外科导航框架,并提供了一种在外科导航系统中动态显示医疗数据量的方法。可视化技术是直接体绘制,不需要从体数据中提取任何多边形网格,可以很容易地在GPU上通过OpenGL着色器程序实现。它还使用一个掩码来控制输入模型的这一部分是否应该显示在屏幕上。掩码的尺寸与输入的体积数据相同。为了消除锯齿状边缘并达到迭代速率,在GPU(图形处理单元)执行的shader程序中加载了一个三维高斯滤波器。
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引用次数: 1
A novel method for adjusting Digital predistortion with Modulation Error Ratio in OFDM System 一种利用调制误差率调节OFDM系统数字预失真的新方法
Qun Chen, Yang Song, F. Hu, Chaoshi Cai
Power amplifiers (PAs) are important components in OFDM systems which can efficiently uses the spectrum but very sensitive to constellation error. The nonlinearity of PAs causes in-band distortion and spectral regrowth, thereby increasing the constellation error. To overcome the PA's nonlinearity, Digital predistortion is a highly cost-effective way to linearize PAs. When modeling of digital predistorter, there are many coefficients that determining the predistorter's characteristics which are affecting the effect of predistortion. Different values of the coefficients lead to a large gap in the effect of predistortion, thus constructing the predistorter with appropriate coefficients is complex and necessary. Many research when estimating the coefficients by minimizing mean square error (MMSE) of the signal amplified by the amplifier. But the MSE can't indicate the constellation error rate, furthermore, OFDM rely on the constellation map to transfer message, so that the coefficients corresponding to MMSE method may not the most appropriate. In this paper we propose a novel method to estimate the predistorter coefficients by maximizing the Modulation Error Ration (MER) which can directly indicate the degree of constellation error, and we introduce the quasi-Newton method which can help us find the optimum coefficient to maximize MER. The proposed predistorter can better reduce the constellation error.
功率放大器是OFDM系统的重要组成部分,它能有效利用频谱,但对星座误差非常敏感。波束的非线性会引起带内畸变和光谱再生,从而增加星座误差。为了克服放大器的非线性,数字预失真是一种经济有效的线性化放大器的方法。在对数字预失真器进行建模时,有许多决定预失真器特性的系数影响预失真效果。不同的预失真系数值导致预失真效果的差距较大,因此构造合适系数的预失真器是复杂而必要的。在对放大器放大信号的均方误差(MMSE)进行最小化估计时,有许多研究。但是MMSE不能表示星座错误率,而且OFDM依赖星座图来传输报文,因此MMSE方法所对应的系数可能不是最合适的。本文提出了一种通过最大化直接反映星座误差程度的调制误差比(MER)来估计预失真系数的新方法,并引入了准牛顿法,该方法可以帮助我们找到最大化调制误差比的最佳系数。该预失真器能较好地减小星座误差。
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引用次数: 2
An efficient transaction processing method on the distributed database 一种高效的分布式数据库事务处理方法
Qiao Sun, Lan-mei Fu, Bu-qiao Deng, Jiasong Sun
Distributed system have shown its good robustness, extensibility and effectiveness in the processing, storage and transmission of large data. Now with the expansion of the amount of data and application, it has become a challenging task to ensure its transaction in a distributed and heterogeneous environment. The sub transactions of a distributed transaction not only need to be coordinated with the local other transactions, but also with other sub transactions that generated in the global manager. Based on the discussion of distributed transaction processing model and its transaction commit protocol, the failure reasons with the model analysis of general distributed transaction processing in the practical application in our information database system are given, based on the interface in a relational database management system and super text pre-treatment language of distributed transaction processing implementation method. The research results show that this distributed transaction processing method is reliable, and can simplify the implementation of global program.
分布式系统在大数据的处理、存储和传输中显示出良好的鲁棒性、可扩展性和有效性。随着数据量和应用数量的不断增加,如何保证数据在分布式异构环境下的正常运行已成为一项具有挑战性的任务。分布式事务的子事务不仅需要与本地其他事务协调,还需要与全局管理器中生成的其他子事务协调。在讨论分布式事务处理模型及其事务提交协议的基础上,通过对一般分布式事务处理在我国信息数据库系统实际应用中的失败原因进行模型分析,给出了基于关系型数据库管理系统的接口和超文本预处理语言的分布式事务处理实现方法。研究结果表明,这种分布式事务处理方法是可靠的,可以简化全局程序的实现。
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引用次数: 3
期刊
2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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