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2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine最新文献

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Development of an Information System for Multicenter Epidemiologic Studies on Cancer 多中心癌症流行病学研究信息系统的开发
José M. Vázquez, Marcos Martínez, M. G. López, B. González-Conde, F. Arnal, J. Pereira, Alejandro Pazos
Cancer is caused by a variety of factors whose study requires a large amount of data. Compiling these data is an expensive and time-consuming task which can be carried out in a better way with the support of Information and Communication Technologies (ICT). However, most epidemiologic studies take place without this support of informatics or with basic tools that are developed by unqualified professionals. As a consequence, the integrity of the compiled data cannot be guaranteed, and the reliability of the studies is affected. This work presents an Information System (IS) for the development of multicenter epidemiologic studies on cancer which has been successfully applied to the execution of an epidemiologic study of colorectal cancer in Galicia, Spain.
癌症是由多种因素引起的,这些因素的研究需要大量的数据。汇编这些数据是一项昂贵而耗时的任务,在信息和通信技术的支持下可以以更好的方式进行。然而,大多数流行病学研究是在没有信息学支持的情况下进行的,或者使用的是由不合格的专业人员开发的基本工具。因此,汇编数据的完整性无法保证,研究的可靠性受到影响。这项工作提出了一个信息系统(IS),用于癌症多中心流行病学研究的发展,该系统已成功应用于西班牙加利西亚大肠癌流行病学研究的执行。
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引用次数: 3
An Inventive Quadratic Time-Frequency Scheme Based on Wigner-Ville Distribution for Classification of sEMG Signals 一种新颖的基于Wigner-Ville分布的表面肌电信号分类二次时频方法
M. Khezri, M. Jahed
Electromyogram signal is a biopotential signal that may be measured on the surface of contracting muscles representing neuromuscular activities. This signal may be utilized in various applications such as clinical diagnosis of diseased neuromuscular systems and as a measurement tool for evaluation of rehabilitation activities. Another recent application is the usage of EMG signal in design and implementation of neural controlled prosthesis hands. For this purpose appropriate features of EMG signal are required such that intended hand movements may be recognized correctly. In this work we considered a new method based on quadratic time-frequency representation namely Wigner-Ville distribution (WVD) to extract required information. In the proposed approach, initially WVD coefficients for each class were calculated. Next average coefficients for all the signals in each class were obtained. Then cross-WVD was found by using acquired average WVD coefficients with signals in each class and finally the number of zero crossing (ZC) of cross-WVD coefficients were utilized as suitable features. Our proposed approach provided satisfactory results with a recognition average accuracy rate of 91.3% for six classes of movements. On the other hand, for unprocessed (raw) WVD coefficients the average accuracy of the six hand movements was registered at %33.7.
肌电信号是一种生物电位信号,可以在收缩肌肉表面测量,代表神经肌肉活动。该信号可用于各种应用,如病变神经肌肉系统的临床诊断和作为评估康复活动的测量工具。另一个最近的应用是肌电图信号在设计和实现神经控制假肢中的应用。为此,需要肌电图信号的适当特征,以便正确识别手部的预期运动。本文提出了一种基于二次时频表示即Wigner-Ville分布(WVD)的信息提取方法。在该方法中,首先计算每个类别的WVD系数。然后得到每一类中所有信号的平均系数。然后利用获取的每一类信号的平均WVD系数求出交叉WVD,最后利用交叉WVD系数的零交叉次数(ZC)作为合适的特征。该方法对6类动作的平均识别准确率达到91.3%,取得了令人满意的结果。另一方面,对于未处理的(原始的)WVD系数,六个手部运动的平均精度注册为%33.7。
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引用次数: 5
The Evaluation of Wearable Cuff-less Blood Pressure Measuring Devices 可穿戴式无袖带血压测量装置的评价
I.R.F. Yan, Y.T. Zhang
This project deals with the development of a new standard for evaluating the cuff-less wearable blood pressure (BP) measuring devices. The reasons for this need are as follows: (1) the present studies show that the existing evaluation methods for validating the conventional BP devices do not agree with each other in all circumstances; and (2) the protocols set up for conventional devices fall short of accurate evaluation for the newly developed wearable BP measurement devices, since the new devices use completely different measurement techniques from those of the conventional cuff-based ones. These cuff-less techniques enable the new devices not only to be noninvasive, miniature in size, low-power consumption, cost-effective, and durable but also to have the potential to measure the beat-to-beat continuous BP. To analyze the measuring accuracy of a wearable cuff-less BP device, a total of 999 datasets from 85 subjects were collected. As the BP decreased, an obvious decrease of the variation in the measurement error was observed. This phenomenon may have been caused by the new technique that the device uses. It leads to some difficulties in evaluating the performance of cuff-less BP devices by some existing standards. In order to remove or reduce this unwanted trend, a transformation method was carefully examined. Based on the transformed datasets, traditional evaluation approaches are then applicable.
本项目涉及开发一种评估无袖带可穿戴血压测量设备的新标准。这一需求的原因是:(1)目前的研究表明,现有的验证常规BP装置的评估方法在所有情况下都不一致;(2)新开发的可穿戴式血压测量装置采用的测量技术与传统的袖带式血压测量装置完全不同,因此传统装置所建立的方案无法对其进行准确的评估。这些无袖带技术使新设备不仅具有无创、体积小、功耗低、成本效益高和耐用性,而且还具有测量连续心跳血压的潜力。为了分析可穿戴式无袖口血压仪的测量精度,共收集了85名受试者的999个数据集。随着BP值的减小,测量误差的变化明显减小。这种现象可能是由该设备使用的新技术引起的。这导致现有的一些标准在评价无套管BP装置的性能时存在一定的困难。为了消除或减少这种不需要的趋势,仔细研究了一种转换方法。基于转换后的数据集,传统的评估方法也适用。
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引用次数: 3
Deriving Quantitative Structure-Activity Relationship Models Using Genetic Programming for Drug Discovery 基于遗传规划的药物发现定量构效关系模型
K. Neophytou, C. Nicolaou, C. Pattichis, C. Schizas
Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a methodology for the creation of Quantitative Structure-Activity Relationship (QSAR) models for the prediction of chemical activity, using Genetic Programming. QSAR analysis is crucial for drug discovery since good QSAR models enable human experts to select compounds with increased chances of being active for further investigations. Our technique has been tested using the Selwood dataset, a benchmark dataset for the QSAR field [2]. The results indicate that the QSAR models created are accurate, reliable and simple and can thus be used to identify molecular descriptors correlated with measured activity and for the prediction of the activity of untested molecules. The QSAR models we generated predict the activity of untested molecules with an error ranging between 0.46 -0.8 on the scale [-1,1]. These results compare favourably with results sited in the literature for the same dataset [3], [4], Our models are constructed using any combination of the arithmetic operators {+, -, /, *}, the descriptors available and constant values.
遗传规划是一种受进化技术启发的启发式搜索算法,已被证明可以对几个科学领域的问题产生令人满意的解决方案[1]。这里提出了一种方法,用于创建定量结构-活性关系(QSAR)模型预测化学活性,使用遗传规划。QSAR分析对于药物发现至关重要,因为良好的QSAR模型使人类专家能够选择具有更大活性的化合物进行进一步研究。我们的技术已经使用Selwood数据集进行了测试,Selwood数据集是QSAR领域的基准数据集[2]。结果表明,所建立的QSAR模型准确、可靠、简单,可用于识别与测量活性相关的分子描述符,并用于预测未测试分子的活性。我们生成的QSAR模型预测未测试分子的活性,误差范围在0.46 -0.8之间[-1,1]。这些结果与相同数据集的文献结果[3],[4]相比较有利。我们的模型是使用算术运算符{+,-,/,*},可用描述符和常量值的任意组合构建的。
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引用次数: 1
Independent Component Analysis in Breast Tissues Mammograms Images Classification Using LDA and SVM LDA和SVM在乳腺组织x光图像分类中的独立分量分析
D. D. Costa, LucioFlavio Campost, Allan Kardec Barros, A. Silva
Female breast cancer is the major cause of death in western countries. Efforts in computer vision have been made in order to help improving the diagnostic accuracy by radiologists. In this paper, we present a methodology that uses Independent Component Analysis (ICA) along with Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) to distinguish between Mass or Non-Mass and Benign or Malign tissues from mammograms. As a result, we found the following: LDA reaches 89,5% of accuracy to discriminante Mass or Non-Mass and 95,2% to discriminate Benign or Malignant in DDSM database and in MIAS database we obtained 85 % to discriminate Mass or Non-Mass and 88% of to discriminate Benign or Malignant; SVM reaches 99,6% of accuracy to discriminate Mass or Non-Mass and 99,5% to discriminate Benign or Malignat in DDSM database and in MIAS database we obtained 97% to discriminate Mass or Non-Mass and 100% to discriminate Benign or Malignant.
女性乳腺癌是西方国家死亡的主要原因。为了帮助提高放射科医生的诊断准确性,人们在计算机视觉方面做出了努力。在本文中,我们提出了一种使用独立成分分析(ICA)以及支持向量机(SVM)和线性判别分析(LDA)的方法来区分乳房x光片中的肿块或非肿块以及良性或恶性组织。结果表明:在DDSM数据库中,LDA区分肿块和非肿块的准确率为89.5%,区分良恶性的准确率为95.2%;在MIAS数据库中,LDA区分肿块和非肿块的准确率为85%,区分良恶性的准确率为88%;在DDSM数据库中,SVM区分Mass和Non-Mass的准确率为99.6%,区分Benign和Malignant的准确率为99.5%,在MIAS数据库中,我们区分Mass和Non-Mass的准确率为97%,区分Benign和Malignant的准确率为100%。
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引用次数: 15
Computer-assisted Preoperative Planning and Surgical Navigation System in Dental Implantology 计算机辅助种植牙术前规划与手术导航系统
Guangchao Zheng, Lixu Gu, Xiaobo Li, Jingsi Zhang
This paper presents a construction of a computer assisted system in dental implantology. Preoperative planning and surgical navigation are two main sub-systems in our proposed system. In the preoperative planning subsystem, we provide different kinds of views to the surgeons based on CT data scanned for a specific patient. And the surgical navigation subsystem uses an infra-red light based navigation camera to locate the precise position of the surgical instrument. The two subsystems will combine together to form a seamless linked all-in-one system for dental implantological surgery. Due to the tight connection between the two subsystems, the depth and orientation of drilling will be tracked under the same coordinate space, which will guarantee the accuracy of match between the preoperative planned position and the realtime navigated position. The main objective of this paper is to present how to build such a system under the direct clinical requirement from dentists. At last, the experiments in phantom study demonstrate that the mean errors of the depth and the angle are 0.772 (mm) and 0.554 (degree) respectively
本文介绍了一种牙种植学计算机辅助系统的构建。术前计划和手术导航是本系统的两个主要子系统。在术前规划子系统中,我们根据特定患者的CT扫描数据为外科医生提供不同的视图。手术导航子系统使用基于红外光的导航摄像头来定位手术器械的精确位置。这两个子系统将结合在一起,形成一个无缝连接的一体化系统,用于牙科种植手术。由于两个子系统之间的紧密连接,将在同一坐标空间下跟踪钻孔深度和方向,从而保证了术前计划位置与实时导航位置匹配的准确性。本文的主要目的是介绍如何在牙医的直接临床需求下构建这样一个系统。最后,仿真实验表明,深度和角度的平均误差分别为0.772 (mm)和0.554(度)
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引用次数: 13
Development of ECG and BCG Measuring System on Moving Wheelchair Using CDMA Network 基于CDMA网络的移动轮椅心电和BCG测量系统的开发
J.M. Kim, J.H. Hong, E. Cha, T.S. Lee
The objective of the present study is to develop a system that can measure ECG and BCG of a patient on wheelchair moving or pausing and transmit measured signals to a remote server through CDMA (code division multiple access) network. In order to acquire ECG and BCG, the system has an amplifier for each signal, and records the signals on a SD card through an A/D converter. In addition, it is equipped with a 3-axis acceleration sensor to remove physical noises that may happen while driving the wheelchair and the data are also stored in the SD card. Data recorded in the SD card is transmitted to a remote server using a CDMA module (BSM-860s of Bellwave Co.), and if an event takes place in the patient, 48 Kbyte data stored for the last 32 seconds are transmitted to the remote server. It was programmed using C# of Microsoft that ECG, BCG and 3-axis acceleration data transmitted to the server through CDMA network are displayed. In conclusion, this study developed a system that acquires both ECG and BCG simultaneously from patients on wheelchair and, on the happening of an event, transmits the data to a remote server through CDMA network.
本研究的目的是开发一种系统,可以测量轮椅上移动或暂停的病人的心电和BCG,并通过CDMA(码分多址)网络将测量到的信号传输到远程服务器。为了获取心电和BCG信号,系统对每个信号进行放大器处理,并通过a /D转换器将信号记录在SD卡上。此外,它还配备了3轴加速度传感器,以消除驾驶轮椅时可能产生的物理噪音,数据也存储在SD卡中。存储在SD卡上的数据通过CDMA模块(Bellwave公司的bsm -860)传输到远程服务器,如果患者发生事件,最后32秒存储的48kbyte数据将传输到远程服务器。用微软c#编程实现了通过CDMA网络传输到服务器的心电、BCG和三轴加速度数据的显示。综上所述,本研究开发了一个系统,该系统可以同时获取轮椅患者的ECG和BCG,并在事件发生时通过CDMA网络将数据传输到远程服务器。
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引用次数: 9
A Global Prototype for Traffic Injury Surveillance System 交通伤害监测系统的全球原型
A. Jayatilleke, A. Jayatilleke, C. A. Marasinghe, S. Nakahara, S. Lambacher, S. Nandasara
Without increased effort and new initiatives, the total number of road traffic deaths and injuries worldwide could rise by some 65 percent between 2000 and 2020, while deaths in low and middle income countries are expected to increase by 80 percent. Hence prevention is the best remedy for this global public health problem. For the effective prevention of road traffic injuries, accurate information on modes, patterns and trends of traffic injuries are mandatory. WHO is encouraging the establishment of such data collection systems by publishing guidelines on injury surveillance. We compared the data fields of the existing traffic injury surveillance systems of the Asian countries of Thailand, Cambodia, Sri Lanka, and Japan with WHO guidelines and examined the possibilities of compiling a global database. Although the surveillance systems of these four countries share a lot of similarities, there are variations in code choices. In spite of such variations, RTI data can be integrated into a common global data bases by applying information technology.
如果不加大努力和采取新的举措,2000年至2020年期间,全世界道路交通死亡和伤害总数可能增加约65%,而低收入和中等收入国家的死亡人数预计将增加80%。因此,预防是解决这一全球公共卫生问题的最佳办法。为了有效预防道路交通伤害,必须准确了解交通伤害的方式、模式和趋势。世卫组织通过发布伤害监测指南,鼓励建立这类数据收集系统。我们将泰国、柬埔寨、斯里兰卡和日本等亚洲国家现有交通伤害监测系统的数据字段与世卫组织指南进行了比较,并研究了编制全球数据库的可能性。尽管这四个国家的监测系统有许多相似之处,但在代码选择方面存在差异。尽管存在这些差异,但可以通过应用信息技术将RTI数据整合到一个共同的全球数据库中。
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引用次数: 3
Wearable transducer to monitor respiration in a wireless way 以无线方式监测呼吸的可穿戴传感器
K. Kim, I. Lee, S. Choi, S.S. Kim, T.S. Lee, E. Cha
Conductive rubber belt with electrical resistance changed by lengthening was incorporated within the patient's pants, which operated as a waist band transducer. The resistance changes induced by the abdominal dimension variation during breathing were converted into a voltage signal by a bridge circuit, then digitized followed by wireless transmission with zigbee protocol. The wireless transmission module was implemented small enough to carry conveniently in pocket. The wireless receiver module was also made to forward the signal to a local computer station through RS232 serial communication port, where respiration was monitored. CO2 inhalation experiments were performed in 4 normal men to evaluate measurement accuracy in the tidal volume(VT). 0~5% CO2 inhalation for a few minutes increased VT upto approximately twice in steady state with corresponding increase in the abdominal signal. Customized calibration by CO2 inhalation experiment for each subject resulted a mean relative error of 8% perhaps acceptable for general monitoring purposes. The present results enable wireless remote monitoring of respiration, thus could be applied to a ubiquitous health care system.
在患者的裤子内加入电阻随长度变化的导电橡胶带,作为腰带换能器。呼吸过程中腹部尺寸变化引起的阻力变化通过电桥电路转换成电压信号,数字化后采用zigbee协议进行无线传输。无线传输模块被设计得足够小,可以方便地放在口袋里。无线接收模块通过RS232串行通信端口将信号转发到本地计算机站,监测呼吸情况。对4例正常男性进行CO2吸入实验,评价潮气量(VT)测量的准确性。0~5% CO2吸入数分钟可使稳态VT增加约2倍,腹部信号相应增加。通过CO2吸入实验对每个受试者进行定制校准,平均相对误差为8%,对于一般监测目的可能是可以接受的。目前的结果使无线远程监测呼吸,因此可以应用于无处不在的医疗保健系统。
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引用次数: 7
Bioelectrical Impedance Measurement of Subcutaneous Fat Thickness Using Apparent Resistivity 利用视电阻率测量皮下脂肪厚度的生物电阻抗
K. Murakami, T. Uchiyama
Measurements of subcutaneous fat thickness provide valuable information regarding human health. In previous studies, subcutaneous fat thickness was estimated by bioelectrical impedance; however, this method required sophisticated equipment and analysis. The objective of this study was to develop a simple method to determine subcutaneous fat thickness using apparent resistivity. A single-frequency 50-kHz bipolar pulse was applied to a tetrapolar electrode, while steady-state pulses were used to determine the apparent resistivity. Subcutaneous fat thickness was determined using ultrasound tomography. We obtained a linear correlation of R = 0.916 between subcutaneous fat thickness and apparent resistivity from measurements at 20 sites on a human anterior thigh. The obtained regression equation suggests that subcutaneous fat thickness can be estimated using the apparent resistivity.
皮下脂肪厚度的测量提供了有关人体健康的宝贵信息。在以往的研究中,皮下脂肪厚度是通过生物电阻抗来估计的;然而,这种方法需要复杂的设备和分析。本研究的目的是开发一种简单的方法来确定皮下脂肪厚度使用视电阻率。在四极电极上施加单频50 khz双极脉冲,而稳态脉冲则用于测定视电阻率。使用超声断层扫描确定皮下脂肪厚度。通过对人大腿前部20个部位的测量,我们得到皮下脂肪厚度与视电阻率之间的线性相关R = 0.916。得到的回归方程表明,利用视电阻率可以估计皮下脂肪的厚度。
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引用次数: 6
期刊
2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine
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