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

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Novel approach to search for individual signal complexes in complex fractionated atrial electrograms using wavelet transform 基于小波变换的复分房电信号复合体搜索新方法
V. Kremen, L. Lhotská
Complex fractionated atrial electrograms (CFAEs) represent the electrophysiologic substrate for atrial fibrillation (AF). Progress in signal processing algorithms to identify CFAEs sites is crucial for the development of AF ablation strategies. Individual signal complexes in CFAEs reflect electrical activity of electrophysiologic substrate at given time. We developed a novel algorithm for automated search of individual signal complexes in CFAEs. This algorithm based on wavelet transform enables to describe CFAEs in a novel way and helps to classify CFAEs level of complexity (degree of fractionation). The method was tested using a representative set of 1.5s A-EGMs (n = 113) ranked by an expert into 4 categories: 1 -organized atrial activity; 2 -mild; 3 -intermediate; 4 -high degree of fractionation. Individual signal complexes were marked by an expert in every A-EGM in the dataset. This ranking was used as gold standard for comparison with the novel automatic search method. Following hit rates were achieved by performed automatic search on representative set of data: category 1: 100%, category 2: 98.2%, category 3: 92.06%, category 4: 63.89%. These results indicate that wavelet signal decomposition could carry high level of predictive information about the state of electrophysiologic substrate for AF.
复杂分割心房电图(CFAEs)代表心房颤动(AF)的电生理底物。识别CFAEs位点的信号处理算法的进展对于AF消融策略的发展至关重要。cfae中单个信号复合物反映了特定时间电生理底物的电活动。我们开发了一种新的算法来自动搜索cfae中的单个信号复合物。该算法基于小波变换,能够以一种新颖的方式描述cfae,并有助于对cfae的复杂程度(分块程度)进行分类。该方法采用一组代表性的1.5s a - egm (n = 113)进行测试,由专家将其分为4类:1 -有组织的心房活动;2温和;3中间;4 -分馏度高。单个信号复合体由数据集中每个A-EGM中的专家标记。这个排名被用作与新的自动搜索方法进行比较的金标准。通过对代表性数据集进行自动搜索,获得了以下命中率:类别1:100%,类别2:98.2%,类别3:92.06%,类别4:63.89%。这些结果表明,小波信号分解可以对AF的电生理底物状态进行高水平的预测。
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引用次数: 9
Enforcing Privacy through Security in Remote Patient Monitoring Ecosystems 在远程患者监测生态系统中通过安全强制保护隐私
Abhay Raman
We are a population that is getting progressively older. As we age, the need for better quality and efficient healthcare services at home and hospitals is becoming significantly more important. With the increasing cost of providing care-giver based monitoring services for patients and an ageing of the nurse and caregiver population itself, remote patient monitoring (RPM) has the potential to improve the quality of health services and lower the total cost of providing healthcare to chronic care patients by avoiding unnecessary hospitalizations, and ensuring urgent care is afforded to people who are in need of it. The commercial availability of monitoring units to measure vitals such as blood pressure, glucose and weight are assisting in the adoption of RHM. In this paper, the author discusses the enforcement of privacy and confidentiality through security measures and practices. The author end the discussion by outlining additional areas for research and suggestions for future work.
我们的人口正在逐渐变老。随着年龄的增长,家庭和医院对更优质、更高效的医疗保健服务的需求变得越来越重要。随着为患者提供基于护理人员的监测服务的成本不断增加,以及护士和护理人员本身的老龄化,远程患者监测(RPM)有可能通过避免不必要的住院治疗,提高医疗服务质量,降低向慢性护理患者提供医疗保健的总成本,并确保向有需要的人提供紧急护理。用于测量血压、血糖和体重等生命体征的商业监测装置有助于RHM的采用。在本文中,作者讨论了通过安全措施和实践来强制执行隐私和机密性。作者通过概述其他研究领域和对未来工作的建议来结束讨论。
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引用次数: 16
Development of Oral Rehabilitation Robot for Massage Therapy 按摩治疗口腔康复机器人的研制
H. Koga, Y. Usuda, M. Matsuno, Y. Ogura, H. Ishii, J. Solis, A. Takanishi, A. Katsumata
It is well known that the massage therapy is useful for the rehabilitation of various diseases. Although various apparatus have been developed for the massage of the torso and limbs, a machine to perform precise massage therapy to maxillofacial region is not developed yet. Therefore, we developed a robot system that provides massage therapy to maxillofacial region. The name of our newly developed robot was WAO-1. WAO-1 has been designed to perform appropriate massage to the patients with dry mouth, etc. WAO-1 is composed by two 6-degree of freedom arms with plungers attached at the end-effectors. The massage is applied to the patient by controlling the force and position of the plunger (virtual compliance). As a preliminary step of the clinical application, a simulation therapy of robotic massage to stimulate salivary flow from parotid gland was performed. The dynamic force on patient's head during the massage using WAO-1 was evaluated. The results suggested that WAO-1 could perform equivalent massage to human hand. We expect that WAO-1 will be useful to provide massage therapy to several patients with oral health problems. This will aim in reducing the therapy costs due to the need of human efforts when long-time therapies are needed.
众所周知,按摩疗法对各种疾病的康复都很有用。虽然人们已经研制出各种用于躯干和四肢按摩的仪器,但还没有研制出一种能够对颌面进行精确按摩治疗的机器。因此,我们开发了一种对颌面部区域进行按摩治疗的机器人系统。我们新开发的机器人的名字是WAO-1。WAO-1被设计用于对口干等患者进行适当的按摩。WAO-1由两个6自由度臂组成,在末端执行器上附有柱塞。按摩通过控制柱塞的力和位置(虚拟顺应)应用于患者。作为临床应用的第一步,进行了机器人按摩刺激腮腺唾液流的模拟治疗。利用WAO-1对患者头部进行按摩时的动态受力进行评估。结果表明,WAO-1可以起到相当于人手的按摩作用。我们希望WAO-1能够为一些口腔健康问题患者提供按摩治疗。这将旨在减少治疗费用,因为需要长期治疗时需要人力。
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引用次数: 35
Biosequence Classification using Sequential Pattern Mining and Optimization 基于序列模式挖掘和优化的生物序列分类
D. Fotiadis, T. Exarchos, M. Tsipouras, C. Papaloukas
In this paper we present a methodology for biosequence classification, which employs sequential pattern mining and optimization algorithms. In the first stage, a sequential pattern mining algorithm is applied to a set of biological sequences and the sequential patterns are extracted. Then, the score of each pattern with respect to each sequence is calculated using a scoring function and the score of each class under consideration is estimated. The scores of the patterns and classes are updated, multiplied by a weight. In the second stage an optimization technique is employed to calculate the weight values to achieve the optimal classification accuracy. The methodology is applied in the protein class and fold prediction problem. Extensive evaluation is carried out, using a dataset obtained from the Protein Data Bank.
本文提出了一种基于序列模式挖掘和优化算法的生物序列分类方法。首先,对一组生物序列应用序列模式挖掘算法,提取序列模式;然后,使用评分函数计算每个模式相对于每个序列的得分,并估计所考虑的每个类别的得分。模式和类的分数被更新,乘以一个权重。第二阶段采用优化技术计算权重值以达到最优的分类精度。将该方法应用于蛋白质类和折叠预测问题。使用从蛋白质数据库获得的数据集进行了广泛的评估。
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引用次数: 2
Spectral Analysis of Heart Sounds Associated With Coronary Occlusions 与冠状动脉闭塞相关的心音频谱分析
Dominique Gauthier, Y. Akay, R. Paden, W. Pavlicek, F. David, John K Fortuin, Richard W Sweeney, Metin Lee, Akay
Numerous studies based on the spectral analysis of diastolic sounds showed an increase in the high frequency portion of the spectrum for patients with coronary artery disease (CAD) compared with normal patients. The overall goal of this study is to detect the presence of coronary artery disease in patients using a noninvasive and inexpensive approach. A commercially available electronic stethoscope was used to record the diastolic heart sounds from patients diagnosed with or without CAD based on their coronary angiography examination. The Fast Fourier Transform, a widely used signal processing method, was then implemented on the diastolic segments. The power ratios of the energy above 130 Hz to the energy below 130 Hz were calculated for normal and abnormal patients and compared. Results furthermore confirmed that patients with CAD have more energy in the higher portion of their spectrum, resulting in higher power ratios than for normal patients (p < 0.05). This approach led to a sensitivity of 71%, a specificity of 83% and an overall accuracy of 73.3% using an optimal threshold ratio of 1.5. These results suggest that the proposed system could be used in clinics as part of standard physical examinations.
许多基于舒张声频谱分析的研究表明,与正常患者相比,冠状动脉疾病(CAD)患者的频谱高频部分增加。本研究的总体目标是使用无创和廉价的方法检测患者冠状动脉疾病的存在。使用市售电子听诊器记录经冠状动脉造影检查诊断为CAD或非CAD的患者的舒张心音。然后对舒张段进行快速傅里叶变换,这是一种广泛使用的信号处理方法。计算正常和异常患者130hz以上能量与130hz以下能量的功率比,并进行比较。结果进一步证实,CAD患者在其频谱的较高部分具有更多的能量,导致功率比高于正常患者(p < 0.05)。该方法的灵敏度为71%,特异性为83%,总体准确率为73.3%,最佳阈值比为1.5。这些结果表明,该系统可以作为标准体检的一部分在诊所使用。
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引用次数: 30
Layered Secure Medical Information Exchange Platform 分层安全医疗信息交换平台
T. Suenaga, A. Takada
This paper proposes a layered architecture for medical information exchanges using internet mail protocols. This architecture realizes smooth and flexible communication between different systems and equipments. In medical fields, every system must pay attention to much security measures for medical information exchange via public network. However, there are innumerable medical information systems, medical equipments, and also data exchange specifications. Therefore, such differentia disturbs to construct smooth secure communication between different systems. The proposed system has three layers architecture to reduce such differentia. A prototype system implemented web-mail interface based on proposed platform. Experimental result shows, proposed platform can realize smooth and flexible secure communication.
本文提出了一种基于互联网邮件协议的分层医疗信息交换体系结构。该体系结构实现了不同系统和设备之间流畅、灵活的通信。在医疗领域,每个系统都必须注意通过公共网络进行医疗信息交换的安全措施。然而,有无数的医疗信息系统、医疗设备和数据交换规范。因此,这种差异干扰了不同系统之间构建平滑的安全通信。该系统采用三层结构来减小这种差异。基于所提出的平台,一个原型系统实现了web邮件接口。实验结果表明,该平台能够实现流畅、灵活的安全通信。
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引用次数: 2
A Method for Collision Response between Deformable Objects in Virtual Surgery 虚拟手术中可变形物体碰撞响应的一种方法
Bo Zhu, Lixu Gu, Jingsi Zhang
Virtual surgery has drawn a lot of attention during the past few years for its repeatability and low cost. In a virtual surgical environment, collision between organs or between organs and surgical instruments occurs frequently. Therefore, an efficient and stable method is needed to simulate these collision processes. Nevertheless, contrary to rigid solid animation where complete analytical solutions have been found, simulating colliding response process between deformable objects still remains a challenge. In this paper, we present an advanced method to model collision response between tissues. It computes response force and generates an exact contact surface between colliding objects. Our method considers both geometric features such as penetration depth and physical properties such as relative velocity and friction to compute proper collision forces. Further, a breadth-first searching algorithm is applied in distributing these calculated reaction forces in different parts of the object in order to generate exact contact surface between interacting objects. Its application in a minimal invasion virtual surgery is used for case study.
在过去的几年里,虚拟手术因其可重复性和低成本而引起了人们的广泛关注。在虚拟手术环境中,器官之间或器官与手术器械之间经常发生碰撞。因此,需要一种高效稳定的方法来模拟这些碰撞过程。然而,与已经找到完整解析解的刚性实体动画相反,模拟可变形物体之间的碰撞响应过程仍然是一个挑战。在本文中,我们提出了一种先进的模拟组织间碰撞响应的方法。它计算响应力并生成碰撞物体之间的精确接触面。我们的方法考虑了几何特征(如穿透深度)和物理特性(如相对速度和摩擦力)来计算适当的碰撞力。在此基础上,采用宽度优先搜索算法将计算得到的反作用力分布在物体的不同部位,从而得到相互作用物体之间精确的接触面。并对其在微创虚拟手术中的应用进行了实例分析。
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引用次数: 3
Breast Tissues Classification Based on the Application of Geostatistical Features and Wavelet Transform 基于地统计特征和小波变换的乳腺组织分类
G. Bráz, E. C. da Silva, A.C. de Paiva, A.C. Silva
Female breast cancer is the major cause of death in occidental countries. Efforts in computer vision have been made in order to help improving the diagnostic accuracy by radiologists. We propose a methodology to distinguish Mass and Non-Mass tissues on mammograms. It is based on the computation of geostatistical measures (Moran's Index and Geary's Coefficient) over a multiresolution image representation trough wavelet transform. The computed measures are classified through a Support Vector Machine (SVM). The methodology reaches 98.36% of Specificity, 98.13% of Sensitivity and a rate of 98.24% to discriminate Mass from Non-Mass elements, using the Geary's Coefficient application.
女性乳腺癌是西方国家的主要死亡原因。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。我们提出了一种方法来区分肿块和非肿块组织的乳房x线照片。它是基于小波变换对多分辨率图像表示的地质统计度量(Moran指数和Geary系数)的计算。计算得到的测度通过支持向量机(SVM)进行分类。应用Geary’s系数,该方法鉴别质量与非质量元素的特异性为98.36%,灵敏度为98.13%,鉴别率为98.24%。
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引用次数: 10
Normal human brain processing of cold stimulation observed by magneto-encephalography 脑磁图观察正常人脑对冷刺激的处理
T. Fujimoto, A. Kodabashi, M. Usui, K. Takeuchi, T. Otsubo, K. Nakamura, Y. Higashi, K. Kose, H. Tanaka, M. Sekine, T. Tamura
We investigated the time course of cortical activity in the brain related to cold epidermal touch stimulation at 4 degree Celsius and touch stimulation at a normal temperature of 14 degree Celsius to the palm of the hand in 20 normal human subjects (average age of 29.1plusmn6.0 years), using magneto-encephalography (MEG). The time course of cortical activities with cold touch stimulation to the right palm showed cortical activities in the posterior portion of the posterior cingulate cortex at an average of 214plusmn 101.2 ms before cold touch stimulation, in the ipsilateral somatosensory area at an average of 39.6plusmn37.5 ms, in the contralateral primary somatosensory area at an average of 64.8plusmn28.4 ms, and then in the anterior cingulate cortex, including a portion of the corpus callosum, at an average of 302plusmn126 ms, following cold touch stimulation. It was noted that the time course of cortical activities to cold touch stimulation to the palm showed a difference, compared with normal temperature touch stimulation: cortical activities were observed in the ipsilateral sensory region at an average of 39.6plusmn37.5 ms following cold touch stimulation, but such activities were not observed following normal temperature touch stimulation. On the other hand, there were no significant differences in the time courses of cortical activities in the contralateral primary sensory area and in cingulate regions between the two types of stimulation. The time course of brain activities in response to epidermal stimulation showed no laterality or gender difference.
采用脑磁图(MEG)研究了20例正常人(平均年龄29.1±6.0岁)在4℃冷表皮触摸刺激和14℃常温下手掌触摸刺激时大脑皮层活动的时间过程。对右手掌进行冷触刺激时,皮层活动的时间过程显示:冷触刺激前,后扣带皮层后部的皮层活动平均为214plusmn101.2 ms,同侧体感觉区平均为39.6plusmn37.5 ms,对侧初级体感觉区平均为64.8plusmn28.4 ms,然后是前扣带皮层,包括胼胝体的一部分。在冷触刺激后,平均为302±126毫秒。我们注意到,与常温触摸刺激相比,对手掌进行冷触摸刺激后,皮层活动的时间过程存在差异:在冷触摸刺激后,同侧感觉区皮层活动平均为39.6±37.5 ms,而在常温触摸刺激后,没有观察到这种活动。另一方面,两种刺激在对侧初级感觉区和扣带区皮层活动的时间过程上没有显著差异。脑活动响应表皮刺激的时间过程不存在侧性和性别差异。
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引用次数: 0
Investigating How Social and Economic Geography Affect ß-thalassemia's spread 调查社会和经济地理如何影响ß-地中海贫血的传播
Altug AkayI, Andrei Dragomir, A. Yardimci, D. Canatan, Dr. Akif Yesilipek, B. Pogue
beta-thalassemia, an anemic genetic disorder, remains a significant global health issue, especially in the era of globalization where healthcare, economics, and education are more tightly interconnected. Although previous studies focused on the medical aspect of beta-thalassemia and the affects of consanguineous marriages, we investigated what affects the socio-economic geography of beta-thalassemia and how it affects the spread rate using self-organizing maps (SOM) and Sammon mapping. We converted data generated from questionnaires into numerical variables to facilitate the subsequent analysis of how certain variables contribute to beta-thalassemia's spread. We expected a strong correlation among variables (current education and financial status, information availability, neighborhood prevention programs, and treatment affordability). Only 28% of the population contained both high education and high income, thus had the highest awareness. We studied the mapped data and identified relevant variables corresponding to factors affecting the spread rate of beta-thalassemia. We concluded that education directly correlates to beta-thalassemia's spread rate. Education created a ripple effect, affecting other variables. The data supports the idea that a more educated population, combined with aggressive prevention and treatment programs should prevent the spread of beta-thalassemia.
地中海贫血是一种遗传性贫血,仍然是一个重大的全球健康问题,特别是在全球化时代,医疗保健、经济和教育之间的联系更加紧密。虽然以前的研究主要集中在-地中海贫血的医学方面和近亲婚姻的影响,但我们使用自组织地图(SOM)和Sammon地图调查了影响-地中海贫血的社会经济地理因素及其如何影响传播率。我们将问卷调查产生的数据转换为数值变量,以便于后续分析某些变量如何导致-地中海贫血的传播。我们期望变量之间有很强的相关性(当前教育和经济状况、信息可得性、社区预防计划和治疗负担能力)。只有28%的人同时拥有高等教育和高收入,因此他们的意识是最高的。我们研究了绘制的数据,并确定了影响β -地中海贫血传播率的相关变量。我们得出结论,教育程度与地中海贫血的传播率直接相关。教育产生了连锁反应,影响了其他变量。这些数据支持这样一种观点,即受教育程度更高的人群,结合积极的预防和治疗方案,应该可以防止-地中海贫血的传播。
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引用次数: 0
期刊
2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine
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