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2019 E-Health and Bioengineering Conference (EHB)最新文献

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The Favorable Effects of Bio-Chips on the Human Being 生物芯片对人类的有利影响
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8969894
L. Mândrea, Ioan Curta, M. Velcea
The authors used genuine devices to improve the humans’ health and general state, devices described in the patent WO/2018/037379 A1. This paper presents three sets of measurements performed by means of a Bio Well device described here too. The favorable effects produced by our original Bio-Chips on the human being are justified by the energy or the general balance increase of the subject analyzed. An improvement in the subject general state can be also observed, as well. Easy to place on different objects, the Bio-Chips can be a real help for persons on different occasions.
作者使用真正的设备来改善人类的健康和一般状态,专利WO/2018/037379 A1中描述的设备。本文介绍了三套测量手段的生物井设备在这里也描述。我们的原始生物芯片对人类产生的有利影响是由被分析对象的能量或总平衡增加来证明的。也可以观察到受试者总体状态的改善。生物芯片易于放置在不同的物体上,可以在不同的场合为人们提供真正的帮助。
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引用次数: 3
Study about the Hospitalization Length at Patients with Oro-Maxillo-Facial Traumas Using GLM Univariate Models 应用GLM单变量模型研究口腔颌面外伤患者住院时间
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970072
C. Dascălu, Magda Ecaterina Antohe, G. Zegan, G. Dimitriu
The General Linear Modeling is a statistical method which combines the regression and the variance analysis for a dependent variable in the presence of an independent variable and one or more factors, whose effects can be analyzed separately or combined. We used the GLM univariate models on a database made from 6384 patients, recorded in the Oro-Maxillo-Facial Clinic, "Sf. Spiridon" Hospital Iasi, between 2004 – 2015, in order to investigate the influence of patients’ age over the hospitalization length, modulated by gender, domicile, season, etiology and main diagnostics. We found as significant factors the domicile, the season and the diagnostics: the patients from rural areas are expected to stay in hospital with 0.396 days less than those from urban areas, those hospitalized during spring stay in hospital with 0.320 days less than those hospitalized during other seasons, and the patients with maxillary fractures have an hospitalization length longer with 0.877 days than the other patients; the patients with mandible fractures have an hospitalization length longer with 0.755 days than the other patients and the patients with dental fracture and dislocations have an hospitalization length shorter with 0.840 days than the other patients. No significant interactions between these factors were identified.
一般线性模型是在存在自变量和一个或多个因素的情况下,对因变量进行回归分析和方差分析的一种统计方法,这些因素的影响可以单独分析,也可以组合分析。我们将GLM单变量模型应用于一个数据库,该数据库由6384名患者组成,记录在Oro-Maxillo-Facial Clinic。2004 - 2015年,在性别、住所、季节、病因和主要诊断的调节下,研究患者年龄对住院时间的影响。我们发现,居住地、季节和诊断为显著影响因素:农村患者预期住院天数比城市患者少0.396天,春季住院患者比其他季节住院天数少0.320天,上颌骨折患者比其他季节住院天数多0.877天;下颌骨骨折患者住院时间较其他患者长,为0.755天;牙骨折脱位患者住院时间较其他患者短,为0.840天。这些因素之间没有明显的相互作用。
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引用次数: 0
A Reflective Analysis of Image Processing Operations on Kato-Katz Images for the Pathological Diagnosis of Neglected Tropical Diseases 对被忽视热带病病理诊断加藤-卡茨图像处理操作的反思分析
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970011
Farah Sinada, S. Reni, I. Kale, P. Chiodini, J. Shrivastava
This paper gives an insight into the interdisciplinary work that has been carried out to diagnose some of the neglected tropical diseases, in particular micro-parasitic diseases, using image processing operations. The infections from micro-parasites are collectively called Helminthiasis. The Kato-Katz method is a slide scanning technique commonly used for the qualitative and semi-quantitative diagnosis of helminthiasis. This paper explains the image analysis and processing of Kato-katz images to extract meaningful information and convert the qualitative features of the images to quantitative data and thereby effectively diagnose the disease. This is the preliminary stage of a pioneering work done in the field of neglected tropical disease diagnosis and would be beneficial for thousands of people including children in the endemic regions.
本文介绍了利用图像处理操作诊断一些被忽视的热带病,特别是微寄生虫病所开展的跨学科工作。由微寄生虫引起的感染统称为蠕虫病。加藤-卡茨法是一种常用的切片扫描技术,用于蠕虫病的定性和半定量诊断。本文阐述了对Kato-katz图像的图像分析和处理,提取有意义的信息,将图像的定性特征转化为定量数据,从而有效地诊断疾病。这是在被忽视的热带病诊断领域开展的开拓性工作的初步阶段,将有益于流行地区包括儿童在内的成千上万人。
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引用次数: 1
Cloud Improvement of an Emergency Management System (SMURD+) 应急管理系统云改进(SMURD+)
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8969918
M. Pop, G. Dragomir
The goal of this paper is to treat the subject of improving a previously proposed emergency management system applicable in Romania. In a previous paper we proposed an architecture based on messages transmission between multiple system components: desktop application, medical center, hospitals, traffic center. The experimental results have shown that cloud computing can be used for centralized data storage, related to the 60-minute golden rule of an injured person to reach the right hospital.
本文的目的是处理改进以前提出的适用于罗马尼亚的应急管理系统的问题。在之前的文章中,我们提出了一种基于多个系统组件之间消息传输的体系结构:桌面应用程序、医疗中心、医院、交通中心。实验结果表明,云计算可以用于集中数据存储,这与受伤人员到达正确医院的60分钟黄金法则有关。
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引用次数: 1
Dream Activity Analysis in Low-number Electrode EEG: A Methodology Proposal 低数电极脑电图的梦活动分析:一种方法建议
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8969949
M. Piorecký, E. Miletínová, Hana Schaabova, J. Šebek, J. Bušková
This study proposes a methodology for dream analysis based on frequency brain topography-mapping. Significant differences in normalised power spectra estimates between dream and non-dream experiences were found even when using only 19-channel EEG recordings. This approach includes only determined mathematical problems compared to the previously published inverse problem methodologies. It also offers the possibility to use a wider range of EEG recordings (from low electrode count to HD EEG).
本研究提出一种基于频率脑地形图的梦境分析方法。即使只使用19通道脑电图记录,也发现梦和非梦经历之间的标准化功率谱估计存在显著差异。与以前发表的反问题方法相比,这种方法只包括确定的数学问题。它还提供了使用更广泛的EEG记录的可能性(从低电极计数到高清EEG)。
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引用次数: 0
Detection of Microcalcifications in Digital Mammography Images, using Deep Learning Techniques, based on Peruvian Casuistry 使用深度学习技术检测数字乳房x线摄影图像中的微钙化,基于秘鲁的Casuistry
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8969906
W. Auccahuasi, C. Delrieux, Fernando Sernaque, Edward Flores, N. Moggiano
Breast cancer is one of the most critical and aggressive pathologies suffered in the majority of women in the world, women in Peru are not free to suffer from this pathology, this paper presents a technique for detection of the malignant and benign microcalcifications, using digital mammography images, for the training and validation stage the use of a database containing images corresponding to microcalcifications classified as benign and malignant was used, these images of the database were created From mammographic images containing microcalcifications, these images correspond to Peruvian patients, the Python programming language was used with the TensorFlow and Keras library, with the use of them a deep learnig network was designed with which results were obtained that give a high probability of being used in the clinical environment, these results are the order of 0.94. This article presents as a proposed methodology the design of the database of the images used for the training of the deep learning network as well as the structure of the network.
乳腺癌是世界上大多数妇女所遭受的最严重和最具侵袭性的病理之一,秘鲁妇女不能自由地遭受这种病理,本文提出了一种检测恶性和良性微钙化的技术,使用数字乳房x线摄影图像,在培训和验证阶段,使用包含相应图像的数据库,将微钙化分类为良性和恶性。从含有微钙化的乳房x线摄影图像中创建这些图像,这些图像对应于秘鲁患者,使用Python编程语言与TensorFlow和Keras库一起使用,并使用它们设计了一个深度学习网络,通过该网络获得的结果在临床环境中使用的概率很高,这些结果约为0.94。本文提出了一种用于深度学习网络训练的图像数据库的设计方法以及网络的结构。
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引用次数: 2
Braille Keyboard for People with Low Vision 盲人专用盲文键盘
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970042
V. Sîrbu, I. Şerban, I. Rosca
The estimated number of visually impaired people in the world is 285 million, 39 million blind and 246 million low-vision This project is about creating a device for people with faulty eyesight. Blindness is the phenomenon of partial or total losing of eyesight, named in the published literature as „poor eyesight", due to neurological or physiological factors.This device is a keyboard that can be connected to any computer, phone or tablet via cable. The keyboard will have twelve buttons, six of them are predefined, and the other 6 form the Braille language cell.
世界上视力受损的人估计有2.85亿,失明的有3900万,弱视的有2.46亿。这个项目是为视力有缺陷的人创造一种设备。失明是由于神经或生理因素导致的部分或全部视力丧失的现象,在已发表的文献中称为“视力差”。这个设备是一个键盘,可以通过电缆连接到任何电脑、手机或平板电脑上。键盘将有12个按钮,其中6个是预定义的,另外6个形成盲文语言单元。
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引用次数: 0
Screening for NBOMe Hallucinogens based on Artificial Neural Networks and Structural Descriptors 基于人工神经网络和结构描述符的nome致幻剂筛选
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970048
Adelina Ion, S. Gosav, M. Praisler
Synthetic hallucinogen trafficking is a global illicit trade. It represents one of the main dangers to public health worldwide. NBOMe is a new class of synthetic hallucinogenic drugs of abuse, which is sold through illicit channels as alternative to LSD. The most representative member of the NBOMe class is 25I-NBOMe, a derivative of 2,5-dimethoxy-4-iodophenetylamine (2C-I). In this study we are presenting and comparing a series of Artificial Neural Networks (ANNs) designed to identify NBOMe hallucinogens based on their structural descriptors. Such a system may automatically predict the potential toxicity of new NBOMe compounds and thus saves analytical time and reduces the cost of toxicity studies. For this purpose, constitutional descriptors and functional groups of the optimized molecular structures of the main NBOMe hallucinogens have been determined. Then ANNs have been built by using only those descriptors found to be the most important structural descriptors. The efficiency of the ANNS was compared and the impact of variable selection on ANN performance was analyzed in detail based on several merit figures.
合成致幻剂贩运是一种全球性的非法贸易。它是全世界公共卫生的主要危险之一。NBOMe是一类新的合成致幻剂滥用药物,通过非法渠道作为LSD的替代品出售。NBOMe类中最具代表性的成员是25I-NBOMe,它是2,5-二甲氧基-4-碘苯乙胺(2C-I)的衍生物。在这项研究中,我们提出并比较了一系列的人工神经网络(ann)设计来识别基于其结构描述符的nome致幻剂。这样的系统可以自动预测新的nome化合物的潜在毒性,从而节省分析时间并降低毒性研究的成本。为此,确定了主要nome致幻剂优化后分子结构的结构描述符和官能团。然后,通过只使用那些被发现是最重要的结构描述符来构建人工神经网络。比较了人工神经网络的效率,并根据几个指标详细分析了变量选择对人工神经网络性能的影响。
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引用次数: 3
A Novel Distance for Automated Surgical Skill Evaluation 一种新的自动手术技能评估距离
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970029
Safaa Albasri, M. Popescu, James Keller
Objective evaluation of a surgeon’s skill level is a crucial step toward automatic surgical training. If the surgical activity is captured using a set of sensors, then the problem becomes a task to define an evaluation framework for motion analysis and comparison. In this paper, we propose an evaluation framework based on a novel surgery skill distance, PDTW. that consists of two main components: Dynamic Time Warping (DTW) and Procrustes analysis (PA). The DTW method aligns two time series with different lengths by contracting/dilating both signals such that their lengths become equal. The Procrustes analysis, that include reflection, scaling, and translation, can then be used as a distance measure between two aligned sequences. We evaluate our framework on two surgical datasets, one simulated and another one produced by robot-assisted minimally invasive surgery (RMIS). Our results show significant assessment improvements of PDTW over the traditional distance measures in automatically classifying expert, intermediate, and novice surgeons on different tasks.
客观评价外科医生的技术水平是实现外科手术自动培训的关键一步。如果使用一组传感器捕获手术活动,那么问题就变成了定义运动分析和比较的评估框架的任务。在本文中,我们提出了一个基于新的手术技能距离PDTW的评估框架。它由两个主要部分组成:动态时间扭曲(DTW)和Procrustes分析(PA)。DTW方法通过收缩/扩张两个信号使其长度相等来对齐两个不同长度的时间序列。Procrustes分析,包括反射、缩放和平移,然后可以用作两个对齐序列之间的距离测量。我们在两个手术数据集上评估了我们的框架,一个是模拟的,另一个是由机器人辅助微创手术(RMIS)产生的。我们的研究结果表明,在不同任务的专家、中级和新手外科医生自动分类方面,PDTW比传统的距离测量有显著的评估改进。
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引用次数: 2
Wearable Devices for Studying Microvascular Reactivity – It Is Feasible? 研究微血管反应性的可穿戴设备是否可行?
Pub Date : 2019-11-01 DOI: 10.1109/EHB47216.2019.8970007
G. Postolache, A. Trandabăț, O. Plopa, P. Girão, O. Postolache
We investigate what information can be obtained on daily changes in microcirculation using wearable technologies in out-of hospital or laboratory setting. The pulse wave, electrocardiogram, body temperature and blood pressure data obtained from seven days with normal physical activity was compared with data from seven days with 50% increase in physical activity. The number of steps and heart rate during daily activities were acquired using an electronic wrist watch. Radial artery and big toe digital artery pulse wave signals, wrist and big toe skin temperature, heart rate variability, were analyzed. The sympathetic nervous system influence on microcirculation was evaluated using frequency domain analysis of heart rate variability. The plantar signal was more influenced by movements artifact than pulse wave signal from radial artery. Low frequency component and ratio of low and high frequency component of heart rate variability, associated with sympathetic branch of autonomic nervous system was higher at night than in the morning and after positional changes. LF/HF ratio decreased in the week with more physical activity. Relevant information on determinants of microcirculation changes can be obtained using multimodal sensing supported by small devices that measure individual and environmental parameters.
我们调查了在医院外或实验室环境中使用可穿戴技术可以获得的关于微循环每日变化的信息。将正常体力活动7天的脉搏波、心电图、体温和血压数据与体力活动增加50% 7天的数据进行比较。在日常活动中,步数和心率通过电子腕表获得。桡动脉和大脚趾指动脉脉搏波信号、腕部和大脚趾皮肤温度、心率变异性等进行分析。利用心率变异性的频域分析评估交感神经系统对微循环的影响。足底信号受运动伪影的影响大于桡动脉脉搏波信号。与自主神经交感神经分支相关的心率变异性低频分量和低频与高频分量之比在夜间高于早晨和体位变化后。LF/HF比值随活动量的增加而降低。微循环变化决定因素的相关信息可以通过由测量个人和环境参数的小型装置支持的多模态传感获得。
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引用次数: 0
期刊
2019 E-Health and Bioengineering Conference (EHB)
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