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Multivariate control charts for surgical procedures 外科手术的多变量控制图
M. Abdollahian, S. Ahmad, Shamsul Huda
Patient's progress in the Intensive Care Unit is characterised by more than one quality characteristics. This paper employs univariate and multivariate control charts to monitor patient progress in the Intensive Care Unit. A definitive comparison is made, between the performance of univariate and multivariate control chart methods, in the monitoring of the patient recovery process.
病人在重症监护室的进展具有不止一种质量特征。本文采用单变量和多变量控制图来监测重症监护病房的患者进展。在监测患者康复过程中,单变量和多变量控制图方法之间的性能进行了明确的比较。
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引用次数: 3
Biorthogonal wavelet for EEG signal compression 双正交小波在脑电信号压缩中的应用
A. Bousbia-Salah, M. A. Ait-Ameur, M. Kedir-Talha
Compression of EEG signals is gaining importance in biomedical engineering due to the potential applications in telemedicine. In this paper, we propose a signal compression electro-encephalographic (EEG) method based on discrete wavelet transform (DWT). In order to do this, we developed an algorithm that makes the compression and recovery of these signals using the best suited method, the biorthogonal wavelet. The implementation of this algorithm on real signals (normal and pathological) gave satisfactory compression rates ranging from 65% to 90%, ensuring a good recovery.
由于在远程医疗中的潜在应用,脑电图信号的压缩在生物医学工程中越来越重要。提出了一种基于离散小波变换(DWT)的信号压缩脑电图方法。为了做到这一点,我们开发了一种算法,使这些信号的压缩和恢复使用最合适的方法,双正交小波。该算法在真实信号(正常和病理)上的实现获得了令人满意的压缩率,范围从65%到90%,确保了良好的恢复。
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引用次数: 2
Reducing motion artifacts for robust QRS detection in capacitive sensor arrays 减少运动伪影对电容式传感器阵列的鲁棒QRS检测
Aline Serteyn, Xintan Lin, O. Amft
Non-contact capacitive ECG measurements (cECG) have applications in various unobtrusive and ubiquitous systems. However, cECG signals are frequently corrupted by interference and motion artifacts. In this work array processing methods, such as blind source separation, were used to reduce the impact of motion artifacts on QRS detection. The capacitive sensor array was integrated in a bed mattress and covered with two insulating sheets. The array processing methods were compared in terms of their QRS detection error rates (De). Results of our study with five healthy subjects in different recording conditions showed that, when using array processing methods, QRS detection performance during body motion can be substantially improved (De reduced from 0.46 on raw sensor data to 0.06 for a channel difference method). We concluded that array processing is a promising approach to achieve motion-resistant QRS detection and thus suggest wider use of capacitive sensor arrays.
非接触式电容性心电测量(cECG)在各种不显眼和普遍存在的系统中都有应用。然而,ceg信号经常被干扰和运动伪影破坏。在此工作阵列处理方法,如盲源分离,以减少运动伪影对QRS检测的影响。电容式传感器阵列集成在床垫中,并覆盖两层绝缘板。比较了阵列处理方法的QRS检测错误率(De)。我们对5名健康受试者在不同记录条件下的研究结果表明,当采用阵列处理方法时,身体运动时的QRS检测性能可以得到显著提高(De从原始传感器数据的0.46降低到信道差分方法的0.06)。我们得出结论,阵列处理是实现抗运动QRS检测的一种有前途的方法,因此建议更广泛地使用电容式传感器阵列。
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引用次数: 9
Pipeline for spatial distortion correction in MRI MRI空间畸变校正的管道
P. Mendes, L. Caldeira, F. Janela, N. Lori, M. Secca
The recent advances in Magnetic Resonance Imaging gradient, regarding strength and computation speed, led to the development of Echo-Planar Imaging pulse-sequences with faster acquisition times. This kind of sequence is used in functional MRI and diffusion-weighted Magnetic Resonance Imaging and it presents more distortions than slower sequences. This work aims to compare different spatial distortion correction methods for Echo-Planar Imaging sequences with a new proposed pipeline which consists in performing a Field Map correction after a registration process.
磁共振成像梯度在强度和计算速度方面的最新进展,导致回波平面成像脉冲序列的发展,具有更快的采集时间。这种序列用于功能磁共振成像和弥散加权磁共振成像,它比慢序列呈现更多的畸变。这项工作旨在比较不同的空间畸变校正方法回声平面成像序列与新提出的管道,包括执行一个场图校正后配准过程。
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引用次数: 0
Health care applications: a solution based on the internet of things 医疗保健应用:基于物联网的解决方案
N. Bui, M. Zorzi
This paper proposes the Internet of Things communication framework as the main enabler for distributed worldwide health care applications. Starting from the recent availability of wireless medical sensor prototypes and the growing diffusion of electronic health care record databases, we analyze the requirements of a unified communication framework. Our investigation takes the move by decomposing the storyline of a day in Robert's life, our unlucky character in the not so far future, into simple processes and their interactions. Subsequently, we devise the main communication requirements for those processes and for their integration in the Internet as web services. Finally, we present the Internet of Things protocol stack and the advantages it brings to health care scenarios in terms of the identified requirements.
本文提出物联网通信框架作为分布式全球医疗保健应用的主要使能器。从最近无线医疗传感器原型的可用性和电子医疗记录数据库的日益普及开始,我们分析了统一通信框架的需求。我们的调查通过将罗伯特生活中的一天,我们不幸的角色在不久的将来的故事情节分解成简单的过程和它们之间的相互作用来展开。随后,我们设计了这些流程的主要通信需求,并将它们作为web服务集成到Internet中。最后,我们根据确定的需求介绍了物联网协议栈及其为医疗保健场景带来的优势。
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引用次数: 268
Realistic simulations of aorta radius estimation 主动脉半径估计的现实模拟
Lars Erik Solberg, S. Hamran, I. Balasingham
This paper studies estimation of the dynamic aorta radius in a realistic geometry where radius variation is used as an indirect measure of central blood pressure. Four different radius estimation approaches were studied where their performance in terms of precision and sensitivity was compared. As a basis for estimation simulations, finite-difference, time-domain electromagnetic simulations of a realistic human model have been performed. Radius estimation should be based on identifying the front and rear reflections from the aorta, however the temporal sensitivity of the front reflection from the aorta is weak and non-linear; therefore robustness of radius estimates is compromised. Nonetheless, this does not preclude using the sensitivity of the rear reflections as a proxy of aorta diameter variation combined with Moens-Korteweg's relationship to perform estimations of mean pressure. Proxies of radial changes are observable and for a precision of around 0.1 mm, the results show that an emitted energy to receiver noise spectral density ratio between 110 dB and 130 dB should be sufficient, depending on the estimator.
本文研究了动态主动脉半径的估计在一个现实的几何,其中半径变化被用作中心血压的间接测量。研究了四种不同的半径估计方法,比较了它们的精度和灵敏度。作为估计仿真的基础,对一个真实人体模型进行了有限差分时域电磁仿真。半径估计应基于主动脉前后反射的识别,但主动脉前反射的时间敏感性较弱且呈非线性;因此,半径估计的鲁棒性受到损害。尽管如此,这并不排除使用后反射的灵敏度作为主动脉直径变化的代表,并结合Moens-Korteweg关系来进行平均压力的估计。对于0.1 mm左右的精度,可以观测到径向变化的代理,结果表明,根据估计器的不同,发射能量与接收机噪声谱密度之比在110 dB和130 dB之间就足够了。
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引用次数: 4
Plaque type, plaque burden, and wall shear stress relation in coronary arteries assessed by x-ray angiography and intravascular ultrasound: a qualitative study x线血管造影和血管内超声评估冠状动脉斑块类型、斑块负荷和壁剪切应力的关系:一项定性研究
S. Balocco, C. Gatta, X. Carrillo, J. Mauri, P. Radeva
In this paper, we present a complete framework that automatically provides fluid-dynamic and plaque analysis from IVUS and Angiographic sequences. Such framework is used to analyze, in three coronary arteries, the relation between wall shear stress with type and amount of plaque. Preliminary qualitative results show an inverse relation between the wall shear stress and the plaque burden, which is confirmed by the fact that the plaque growth is higher on the wall having concave curvature. Regarding the plaque type it was observed that regions having low shear stress are predominantly fibro-lipidic while the heavy calcifications are in general located in areas of the vessel having high WSS.
在本文中,我们提出了一个完整的框架,自动提供流体动力学和斑块分析从IVUS和血管造影序列。该框架用于分析三种冠状动脉壁面剪切应力与斑块类型和数量的关系。初步定性结果表明,壁面剪切应力与菌斑负荷呈反比关系,在凹曲率壁面上菌斑生长更快。关于斑块类型,我们观察到具有低剪切应力的区域主要是纤维脂质区,而重钙化通常位于具有高WSS的血管区域。
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引用次数: 1
Brain structures segmentation using optimum global and local weights on mixing active contours and neighboring constraints 混合活动轮廓和邻近约束的最优全局和局部权值脑结构分割
D. Zarpalas, Anastasios Zafeiropoulos, P. Daras, N. Maglaveras, M. Strintzis
This paper presents a new method for segmenting multiple brain structures by using an optimized mixture of different Active Contour Models (ACMs). Prior constraints and structures' neighboring interaction are modelled for each structure. Prior information is also captured by a training process, in which structure's dependent local and global weights are calculated. The local weights regulate locally the combination of each term during the evolution, acting as an experienced balancer between image and prior information. The ideal proportion of relation between the mixture of different ACMs and the prior model is defined by the optimum global weights. As proof of concept, the method is applied on the very challenging task of segmenting hippocampus and amygdala structures.
提出了一种基于不同活动轮廓模型的脑结构分割新方法。对每个结构的先验约束和相邻结构的相互作用进行了建模。先验信息也通过训练过程捕获,其中计算结构的依赖局部和全局权重。在进化过程中,局部权重局部调节每一项的组合,作为图像和先验信息之间的经验平衡器。通过最优全局权值定义不同acm混合模型与先验模型之间的理想关系比例。作为概念的证明,该方法被应用于分割海马和杏仁核结构的非常具有挑战性的任务。
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引用次数: 3
Complex permittivities of biological samples with the free space method from 18 to 110 GHz 自由空间法测定18 ~ 110 GHz范围内生物样品的复介电常数
H. Segawa, K. Sasaki, M. Mizuno, K. Wake, Soichi Watanabe, O. Hashimoto
Complex permittivities were measured with the free space method from 18 to 110 GHz. Physiological saline and porcine blood ware measured. These measurement results were compared with those obtained from the coaxial probe method from 18 to 50 GHz. The measurement results were also compared with those derived from Cole-Cole models from 18 to 110 GHz. It is shown that differences in the measured complex permittivities between the free space method and the coaxial probe method were smaller than 10% from 18 to 50 GHz in both physiological water and porcine blood. Furthermore, the differences in the complex permittivities between the free space method and Cole-Cole models were smaller than 8% from 18 to 110 GHz. It was concluded that the free space method is an effective technique to determine complex permittivities of biological samples in the millimeter-wave frequency region.
用自由空间法测量了18 ~ 110 GHz范围内的复介电常数。测定了生理盐水和猪血。将这些测量结果与18 ~ 50 GHz同轴探头法测量结果进行了比较。并对18 ~ 110 GHz的Cole-Cole模型的测量结果进行了比较。结果表明,在18 ~ 50 GHz范围内,在生理水和猪血中,自由空间法和同轴探针法测得的复介电常数的差异均小于10%。在18 ~ 110 GHz范围内,自由空间法与Cole-Cole模型的复介电常数差异小于8%。结果表明,自由空间法是测定毫米波频率范围内生物样品复介电常数的有效方法。
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引用次数: 2
HEp-2 cell pattern segmentation for the support of autoimmune disease diagnosis HEp-2细胞模式分割对自身免疫性疾病诊断的支持
C. Creemers, K. Guerti, S. Geerts, K. V. Cotthem, A. Ledda, Vincent Spruyt
The Indirect Immune Fluorescence Test (iIFT) is the most commonly used screening method for the diagnosis of autoimmune diseases. The presence of certain autoimmune diseases is proven by immunologically detecting their corresponding auto-antibodies using the HEp-2 cancer cell line. For this purpose HEp-2 cells are added to the patients' blood serum containing certain auto-antibodies which will bond with the HEp-2 cells leading to a wide variety of patterns that can be observed under a fluorescence microscope. Due to the disadvantages of manual testing, automation and standardization are necessary. This paper proposes an unsupervised segmentation algorithm as part of an ongoing research to develop a CAD system to digitally support iIFT testing.
间接免疫荧光试验(iIFT)是诊断自身免疫性疾病最常用的筛查方法。某些自身免疫性疾病的存在是通过使用HEp-2癌细胞系免疫检测其相应的自身抗体来证明的。为此,将HEp-2细胞添加到患者的血清中,其中含有某些自身抗体,这些抗体将与HEp-2细胞结合,导致荧光显微镜下可以观察到的各种各样的模式。由于人工测试的缺点,自动化和标准化是必要的。本文提出了一种无监督分割算法,作为开发CAD系统以数字支持iIFT测试的正在进行的研究的一部分。
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引用次数: 17
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... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies
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