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Treatment of cardiac signal for a modeling by RBF 基于RBF模型的心脏信号处理
M. Kedir-Talha, S. Ould-Slimane
In telemedicine, the transmission of the cardiac signal or for the diagnosis of an automatic Holter, it is important to model the heartbeat. Our aim in this work is the modeling of the ECG data by neural networks using Radial Base Function RBF. The treatment and cutting of ECG Holter helped us to find the best linear combination of five Gaussians that realizes this model. With a bank of Gaussian functions and using the algorithm Orthogonal Regressive Forward, we achieved an error of 10-4 in the initialization step. The optimization of this modeling is performed by the gradient algorithm.
在远程医疗中,心脏信号的传输或自动动态心电图的诊断,建立心跳模型是很重要的。本研究的目的是利用径向基函数(RBF)对心电数据进行神经网络建模。心电动态电位的处理和切割帮助我们找到了实现该模型的五个高斯函数的最佳线性组合。利用一组高斯函数和正交正回归算法,我们在初始化步骤中获得了10-4的误差。采用梯度算法对模型进行优化。
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引用次数: 2
Intelligent environments supporting the care of multi-morbid patients: a concept for patient-centered information management and therapy 支持多种疾病患者护理的智能环境:以患者为中心的信息管理和治疗的概念
Lukas Pielawa, A. Helmer, M. Brell, A. Hein
Evermore people are suffering from multi-morbidity, an accumulation of different afflictions that mutually affect each other. Simultaneously treatments which were previously conducted stationary are nowadays carried out in home settings. Therefore more and more ICT is employed to support such treatments. However, most of these systems are isolated and not accounting for technical interoperability or the determining factor that different treatments influence each other. An approach for an integrated system to treat multi-morbid patients is presented within this paper. It aims to join various means of monitoring, health data storage and telemedicine into a holistic system to account for the needs of such patients. Already implemented subsystems are presented and considerable advantages of the system under construction are illustrated by a use-case for its application.
越来越多的人患有多种疾病,这是不同疾病相互影响的累积。同时,以前在固定场所进行的治疗现在在家庭环境中进行。因此,越来越多的信息通信技术被用于支持此类治疗。然而,这些系统中的大多数都是孤立的,没有考虑到技术互操作性或不同处理方式相互影响的决定性因素。本文提出了一种综合系统治疗多病患者的方法。它旨在将各种监测、健康数据存储和远程医疗手段结合成一个整体系统,以满足这类患者的需求。介绍了已经实现的子系统,并通过其应用的一个用例说明了正在构建的系统的相当大的优点。
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引用次数: 6
Bio-chip ASIC and printed flexible cable on paper substrate for wearable healthcare applications 用于可穿戴医疗保健应用的生物芯片ASIC和印刷柔性电缆
Geng Yang, Qiansu Wan, Lirong Zheng
In this paper, we describe two cutting-edge technologies for the emerging wearable healthcare applications: application specific integrated circuit (ASIC) and printed electronics on a flexible paper substrate. The ASIC enables a compact integration of active circuit blocks on a chip. Due to its tiny size, the ASIC makes the wearable unit unobtrusive and maximizes the wearer's comfort. The electrical performance of a paper based inkjet printed flexible cable is also exhibited. Combining the two technologies together, an example of electrocardiogram (ECG) signal recording is presented.
在本文中,我们描述了新兴的可穿戴医疗保健应用的两种前沿技术:专用集成电路(ASIC)和柔性纸基板上的印刷电子。ASIC使有源电路块在芯片上的紧凑集成成为可能。由于其微小的尺寸,ASIC使可穿戴设备不引人注目,并最大限度地提高了佩戴者的舒适度。本文还展示了一种纸基喷墨印刷柔性电缆的电性能。结合这两种技术,给出了一个心电图信号记录的实例。
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引用次数: 3
Modeling nano-communication networks using neurocomputing algorithm 基于神经计算算法的纳米通信网络建模
Amir Jabbari, I. Balasingham
In this paper, a novel practical neurocomputing algorithm is introduced and elaborated in order to design and implement a nano-communication network for various applications such as medical and industrial signal processing. Firstly, the idea of artificial neural network (ANN) for data processing is explained and feasibility of modeling a nano-scale network by an optimized neurocomputing algorithm is discussed using binary neuro-modeling. Moreover, it is stressed how nano-scaling increases the complexity of the communication network considering the existing constraints on computation resources, and accuracy of the proposed networking algorithm, either for communication or computation. Furthermore, the developed nano-scale networking technique is more optimized in order to assist the so-called neural nano-machines, to conduct the simple nano-nodes working more effectively and collaboratively. To experiment the performance of the presented bio-inspired nano-network, a practical test scenario is implemented on Imote2 sensor nodes to compare the accuracy of data processing techniques, showing how a large-scale network is replaced by an efficient nano-scale networking algorithm. Finally, the obtained results are illustrated and more elaborated to provide a complete procedure for future developments of the bio-inspired networking in nano-scale.
本文介绍并阐述了一种新颖实用的神经计算算法,以设计和实现用于医疗和工业信号处理等各种应用的纳米通信网络。首先,阐述了人工神经网络(ANN)数据处理的思想,并利用二值神经模型讨论了优化神经计算算法对纳米级网络建模的可行性。此外,考虑到现有计算资源的限制,以及所提出的网络算法在通信或计算方面的准确性,强调了纳米尺度如何增加通信网络的复杂性。此外,所开发的纳米级网络技术更优化,以协助所谓的神经纳米机器,使简单的纳米节点更有效地协同工作。为了实验所提出的仿生纳米网络的性能,在Imote2传感器节点上实现了一个实际的测试场景,以比较数据处理技术的准确性,展示了大规模网络如何被高效的纳米级网络算法所取代。最后,对得到的结果进行了说明和详细阐述,为未来纳米尺度仿生网络的发展提供了一个完整的过程。
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引用次数: 1
The effect of load on variances of object replacing arm movements 负荷对物体置换臂运动方差的影响
R. Tibold, J. Laczko
A three-dimensional (3D) dynamic upper limb model was developed to simulate muscle forces in slightly restricted point-to-point movements. Healthy subjects performed point-to-point movements repetitively with an object held in the hand. The object was either a very light (0.06kg) or a heavier one (2kg). Joint coordinates were recorded. Using joint coordinates, and muscle attachment sites taken from the literature, virtual muscle forces acted during the execution of the movement were calculated for 4 arm muscles. Variances of hand position trajectories, joint configuration trajectories and muscle activities (measured EMG and muscle forces of biceps, triceps, delta anterior and delta posterior) were calculated for both object conditions. There were no significant differences for hand position and arm configuration variances considering the two object conditions while muscle activity variances (for all muscles except deltoid posterior) increased significantly by executing the movement with heavier object. Since high muscle activity variances didn't result equally high increments in kinematic variances we suggest that the stabilization of the outer descriptors (kinematic properties) of the arm is resulted by the enhanced muscle cooperation through synergies when the motor task was performed with heavier object in the hand.
开发了一个三维(3D)动态上肢模型来模拟轻微受限的点对点运动中的肌肉力。健康受试者用手拿物体进行点对点重复运动。这个物体要么很轻(0.06公斤),要么很重(2公斤)。记录关节坐标。利用关节坐标和从文献中获取的肌肉附着点,计算运动执行过程中4块手臂肌肉的虚拟肌肉力。计算了两种物体条件下手部位置轨迹、关节形态轨迹和肌肉活动(测量的肌电图和二头肌、三头肌、前三角肌和后三角肌的肌肉力量)的方差。考虑到两种物体条件下,手的位置和手臂结构的差异没有显著差异,而肌肉活动的差异(除后三角肌外的所有肌肉)在执行较重的物体运动时显著增加。由于高的肌肉活动差异并没有导致同样高的运动差异增量,我们认为手臂外部描述符(运动特性)的稳定是由于当手拿较重的物体执行运动任务时,通过协同作用增强的肌肉合作造成的。
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引用次数: 0
Metamaterials applications in radiocommunication and biomedical engineering 超材料在无线电通信和生物医学工程中的应用
D. Faktorova
Metamaterials are complex materials with artificial structure which have special features. These features attract many scientists to use metamaterial structure in many research areas [1]. The metamaterials can enhance properties of microwave and optical passive and active components and also to exceed some limitation of devices used in technical practice [1]. Examples of scientific and technical fields which are concerned are electrical engineering, micro- and nanotechnology, microwave engineering, optics, optoelectronics, and semiconductor technologies, biomedical engineering [1]. In plasmonics, the interplay between propagating electromagnetic waves and free-electron oscillations in materials are exploited to create new components and applications [1]. On the other hand, metamaterials refer to artificial composites in which small artificial elements, through their collective interaction, create a desired and unexpected macroscopic response function that is not present in the constituent materials [1].
超材料是具有特殊特性的人工结构复杂材料。这些特点吸引了许多科学家在许多研究领域使用超材料结构。这些超材料可以提高微波和光学无源元件和有源元件的性能,也可以超越技术实践中使用的器件的某些限制。涉及的科学和技术领域的例子有电气工程、微纳米技术、微波工程、光学、光电子和半导体技术、生物医学工程等。在等离子体动力学中,电磁波的传播和材料中的自由电子振荡之间的相互作用被用来创造新的组件和应用[1]。另一方面,超材料是指人造复合材料,其中小的人造元素通过它们的集体相互作用,创造了一个在组成材料[1]中不存在的期望和意想不到的宏观响应函数。
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引用次数: 3
RAMP: a reputation-aware multi-hop routing protocol in wireless ad-hoc networks RAMP:无线ad-hoc网络中的声誉感知多跳路由协议
Hailun Tan
In multi-hop routing protocols within Wireless Ad-hoc Networks (MANET), all the nodes are assumed to be cooperative. However, this assumption might not hold especially when the nodes behave selfishly to reduce their own resource utilization or there exist intentional attackers. Therefore, how to enforce the cooperative behavior is an important issue in MANET. In this paper, we propose a Reputation-Aware Multi-hop routing Protocol (RAMP) to enforce node cooperation. We take advantage of congestion control from Transmission Control Protocol (TCP) to quantify the reputation/trust value of each node, which makes the selfish behaviors not attractive in MANET. To the best of our knowledge, we are the first to integrate the congestion control from TCP for the reputation-based system design. In addition, the respective simulation in NS2 shows RAMP could achieve 10--15% less packet loss than the existing reputation-based scheme such as CONFIDANT and RAMP could outperform CONFIDANT by up to 20% in goodput with the presence of the compromised/selfish nodes.
在无线自组织网络(MANET)中的多跳路由协议中,假设所有节点都是协作的。然而,这种假设可能不成立,特别是当节点自私地减少自己的资源利用率或存在故意攻击者时。因此,如何加强网络间的合作行为是MANET中的一个重要问题。在本文中,我们提出了一种声誉感知多跳路由协议(RAMP)来强制节点合作。我们利用传输控制协议(TCP)的拥塞控制来量化每个节点的信誉/信任值,这使得自利行为在MANET中没有吸引力。据我们所知,我们是第一个将TCP的拥塞控制集成到基于声誉的系统设计中的。此外,NS2中各自的模拟表明,RAMP可以比现有的基于声誉的方案(如CONFIDANT)减少10- 15%的数据包丢失,并且在存在妥协/自私节点的情况下,RAMP可以在goodput中比CONFIDANT高出20%。
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引用次数: 5
Body-centric RFID systems 以身体为中心的RFID系统
S. Manzari, C. Occhiuzzi, G. Marrocco
Recent progresses in the design of wearable RFID tag antennas stimulate the idea of passive body centric systems wherein the required power to drive the wearable tags is directly scavenged from the interrogation signal emitted by the reader unit. While active body-centric links have been extensively investigated, the feasibility of passive systems is still questionable due to the poor sensitivity of the tags and to the modest read distances. This paper describes an articulated measurement campaign with textile wearable low-profile tags in the UHF RFID band. It is demonstrated that both on-body and off-body links are feasible with a power budget fully compliant with the available technology. The experiments permits to identify the most efficient tag placements and to propose some quantitative and general guidelines useful to characterize and design this kind of new systems.
可穿戴RFID标签天线设计的最新进展激发了被动身体中心系统的想法,其中驱动可穿戴标签所需的功率直接从读取器单元发出的询问信号中获取。虽然主动以身体为中心的链接已经被广泛研究,但由于标签的灵敏度差和适度的读取距离,被动系统的可行性仍然值得怀疑。本文描述了在UHF RFID频段中使用纺织可穿戴低轮廓标签的铰接测量活动。结果表明,在完全符合现有技术要求的功率预算下,体上和体外链路都是可行的。实验允许识别最有效的标签放置,并提出一些定量和通用的指导方针,用于表征和设计这种新系统。
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引用次数: 2
Compact optical sources for quantum communications 量子通信用紧凑型光源
M. Jofre, F. Steinlechner, G. Anzolin, J. Torres, M. Mitchell, V. Pruneri, M. Curty
We have developed optical sources for high bit rate Quantum Communications (QC) using active elements as well as passive schemes. These sources allow achieving 100 Mbps free space Quantum Key Distribution (QKD) with improved security and use components space qualifiable, the latter being an essential aspect for their deployment in space missions.
我们开发了用于高比特率量子通信(QC)的光源,使用有源元件和无源方案。这些源允许实现100 Mbps的自由空间量子密钥分发(QKD),提高安全性并使用组件空间合格,后者是在空间任务中部署的重要方面。
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引用次数: 0
A contextual analysis method for multi-subject fMRI data 多主体fMRI数据的上下文分析方法
J. Järvinen, Ronald Borra, J. Kulmala, H. Aronen, A. Korvenoja, E. Salli
In this article, we present a novel approach to create single subject fMRI (functional magnetic resonance imaging) activation maps by utilizing the group data of several subjects on the individual level. Classification of a voxel as either activated or non-activated is based on its z-value and classification in the neighborhood. We defined the neighborhood of a voxel to consist of corresponding and neighboring voxels in two subjects in addition to the neighbourhood voxels within the subject itself. Determination of the two neighboring subjects was based on kappa-statistics between single subject activation maps calculated without data from other subjects. This approach was taken using multi-subject contextual clustering. Both fully simulated and real subject null data with simulated activations were used. ROC (receiver operator characteristics) analysis showed increased classification accuracy of activated and non-activated voxels when using the described approach.
在这篇文章中,我们提出了一种新的方法,通过在个体水平上利用几个受试者的组数据来创建单个受试者的fMRI(功能磁共振成像)激活图。将体素分类为激活或非激活是基于其z值和邻域的分类。我们定义了一个体素的邻域,除了主体本身的邻域体素外,还包括两个主体中的对应体素和相邻体素。两个相邻被试的确定是基于在没有其他被试数据的情况下计算的单被试激活图之间的kappa统计。这种方法采用了多主题上下文聚类。完全模拟和真实受试者null数据与模拟激活均被使用。ROC (receiver operator characteristic)分析显示,使用上述方法时,激活体素和非激活体素的分类准确率有所提高。
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引用次数: 0
期刊
... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies
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