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Emergency detection during car driving using phase-locking index of EEG 利用脑电图锁相指标检测汽车行驶中的紧急情况
Q4 Engineering Pub Date : 2020-01-01 DOI: 10.11239/JSMBE.58.21
H. Fukuda, S. Kanoh
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引用次数: 0
Data-driven formulation of surgical procedures through virtual planning 通过虚拟计划的数据驱动的外科手术程序制定
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.ANNUAL56.S220-1
M. Nakao
{"title":"Data-driven formulation of surgical procedures through virtual planning","authors":"M. Nakao","doi":"10.11239/JSMBE.ANNUAL56.S220-1","DOIUrl":"https://doi.org/10.11239/JSMBE.ANNUAL56.S220-1","url":null,"abstract":"","PeriodicalId":39233,"journal":{"name":"Transactions of Japanese Society for Medical and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80903244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Current status and future perspective of bridge to lung transplantation using ECMO ECMO桥接肺移植的现状及未来展望
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.ANNUAL56.S153
S. Ichiba
{"title":"Current status and future perspective of bridge to lung transplantation using ECMO","authors":"S. Ichiba","doi":"10.11239/JSMBE.ANNUAL56.S153","DOIUrl":"https://doi.org/10.11239/JSMBE.ANNUAL56.S153","url":null,"abstract":"","PeriodicalId":39233,"journal":{"name":"Transactions of Japanese Society for Medical and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85503681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Wearable Device for Acute Mountain Sickness by Using SpO2 measurement 基于SpO2测量的急性高山病可穿戴设备
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.ANNUAL56.49
C. Liu, Shiannfong Huang, Jia Cheng Yang, Tsung-Ching Lin, Lin-Wen Huang, Bo Han Kao, Chun Wei Kuo
{"title":"The Wearable Device for Acute Mountain Sickness by Using SpO2 measurement","authors":"C. Liu, Shiannfong Huang, Jia Cheng Yang, Tsung-Ching Lin, Lin-Wen Huang, Bo Han Kao, Chun Wei Kuo","doi":"10.11239/JSMBE.ANNUAL56.49","DOIUrl":"https://doi.org/10.11239/JSMBE.ANNUAL56.49","url":null,"abstract":"","PeriodicalId":39233,"journal":{"name":"Transactions of Japanese Society for Medical and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82736306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Estimation of the retinotopic map of an awake mouse brain based upon intrinsic optical signal imaging considering the ocular position and variation in pupil diameter 考虑眼位和瞳孔直径变化的基于内禀光信号成像的清醒小鼠脑视网膜定位图估计
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.56.157
Ryunosuke Togawa, Daigo Okuhata, Yuto Yoshida, M. Nakao, N. Katayama
We have developed a novel method to estimate the fine retinotopic map of the primary visual cortex from the intrinsic optical signal ( IOS ) induced by visual stimulation in an awake mouse. Unlike methods employing anesthesia, in order to reduce the burden on the animal, shortening the experimental time is an im-portant requirement. During the awake state, eye movement, pupil diameter fluctuations, and brain background activity are present. Occurrence of eye movement blurs the retinal image. Excluding data under such circums-tances in the synchronous average method is essential in conventional methods. In order to solve these problems, we focused on the strong correlation between the pupil diameter and the global signal ( GS ) of IOS and introduced a process to remove GS from IOS in preprocessing. This process improved the SN ratio of visual response in a single trial. We assumed that the response from the region of interest ( ROI ) of the cortex is described by the product sum of the retinal image and the receptive field function expressing the projection from the retina to the cortex. In this model, unlike the synchronous average method, the influence of eye movement can be expressed by shifting the retinal image. Therefore, all the response data can be used to estimate parameters, irrespective of the stimulation location or eye position. Additionally, in this method, the spatial resolution does not depend on the spatial resolution of the stimulation spot. The parameters of the receptive field function can be estimated using the nonlinear least squares method. By applying this method to real data, we obtained a retinotopic map with much higher spatial resolution than that obtained by conventional methods. Interestingly, structures similar to higher brain regions such as secondary visual cortex, which were previously observed only using invasive methods such as calcium imaging and electrophysiological method with electrode insertion in the mouse brain, were also visualized. These results demonstrate the usefulness of the proposed method with high spatial resolution.
我们已经开发出一种新颖的方法来估计好网膜代表图的初级视觉皮层视觉刺激引起的固有光学信号(IOS)在一个醒着的老鼠。与采用麻醉的方法不同,为了减轻动物的负担,缩短实验时间是一个重要的要求。在清醒状态下,眼球运动、瞳孔直径波动和大脑背景活动都存在。眼球运动的发生模糊了视网膜图像。在常规方法中,同步平均法必须排除这种情况下的数据。为了解决这些问题,我们重点研究了瞳孔直径与全局信号(GS)的强相关性,并在预处理中引入了一种去除全局信号的方法。该方法在单次试验中提高了视觉反应的SN比。我们假设的反应感兴趣的区域(ROI)的皮质是所描述的产品和视网膜图像和接受域函数的表达从视网膜投影到皮层。在这个模型中,与同步平均法,眼球运动的影响可以表示将视网膜图像。因此,所有的反应数据都可以用来估计参数,而不受刺激位置或眼睛位置的影响。此外,在该方法中,空间分辨率不依赖于刺激点的空间分辨率。接受野函数的参数可以用非线性最小二乘法估计。将该方法应用于实际数据,获得了比传统方法更高的空间分辨率的视网膜定位图。有趣的是,类似于高级大脑区域(如次级视觉皮层)的结构也被可视化了,这些结构以前只能通过侵入性方法(如钙成像和电极插入电生理方法)在小鼠大脑中观察到。结果表明,该方法具有较高的空间分辨率。
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引用次数: 1
Development of optical transillumination system for functional imaging of human foot 人体足部功能成像光学透照系统的研制
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.ANNUAL56.S86-2
Z. Han, K. Shimizu
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引用次数: 0
Modeling of ankle angle-torque characteristic during passive dorsiflexion 被动背屈时踝关节角-扭矩特性建模
Q4 Engineering Pub Date : 2018-01-01 DOI: 10.11239/JSMBE.ANNUAL56.11
Atsuki Oguri, D. Yashiro, K. Yubai, S. Komada, K. Takeda
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引用次数: 0
3-compartment pharmacokinetic model for estimation of talaporfin sodium concentration in interstitial space 三室药动学模型估计间质间室他拉泊芬钠浓度
Q4 Engineering Pub Date : 2017-05-03 DOI: 10.11239/JSMBE.55ANNUAL.550
Y. Uno, E. Ogawa, T. Arai
We constructed a 3-compartment pharmacokinetic model for canine consisted of three compartments including plasma, interstitial space, and cell to estimate talaporfin sodium concentration change in interstitial space. Photosensitization reaction is performed when talaporfin sodium distributes in the interstitial space employing a short drug-light interval in our arrhythmia ablation. We studied interstitial concentration constructing the 3-compartment numerical model using talaporfin sodium concentration in canine plasma, and in addition, other measured relative concentrations of canine tissue, including plasma, interstitial space and cell information. We represented differential rate equation of the drug concentration in each compartment. Fitting the measured data set to the calculated concentration in each compartment, the rate constants in the constructed 3-compartment model were determined with R2=0.98. Using the 3-compartment model, the interstitial talaporfin sodium concentration and the available condition in our arrhythmia ablation could be estimated.
我们建立了犬血浆、间质和细胞三室的三室药代动力学模型,以估计他拉泊芬钠在间质中的浓度变化。在心律失常消融术中,当他拉波芬钠分布于间隙时,采用短的药物-光间隔进行光敏反应。我们利用犬血浆中塔拉波芬钠的浓度,以及犬组织中血浆、间质间隙和细胞信息的相对浓度,构建了3室数值模型来研究间质浓度。用微分速率方程表示各室药物浓度。将测量数据集与各室的计算浓度拟合,确定构建的3室模型的速率常数,R2=0.98。应用三室室模型,可以估计心律失常消融时的间质他他泊芬钠浓度和可用条件。
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引用次数: 2
Classification of Lung Nodules Using Deep Learning 基于深度学习的肺结节分类
Q4 Engineering Pub Date : 2017-05-03 DOI: 10.11239/JSMBE.55ANNUAL.516
Tomoki Kwajiri, Taro Tezuka
Deep learning methods such as the Convolutional Neural Network and the Residual Network were applied to CT scan images in order to classify whether lung nodules become cancerous or not. Especially, the effect of changing the number of layers in the Residual Network was. Experiment were carried out using several models having these two network architectures and consisting of different numbers of layers and parameters.
将卷积神经网络(Convolutional Neural Network)、残差网络(Residual Network)等深度学习方法应用于CT扫描图像,对肺结节是否癌变进行分类。特别是,改变残差网络的层数所产生的影响。使用具有这两种网络结构的不同层数和参数的模型进行了实验。
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引用次数: 4
IEEE 802 Standards for Supporting Everyday Healthcare 支持日常医疗保健的IEEE 802标准
Q4 Engineering Pub Date : 2017-05-03 DOI: 10.11239/JSMBE.55ANNUAL.547
S. Hara
Nowadays, a variety of vital sensing devices have been able to be easily and inexpensively connected to any smart phones by means of wireless technologies. Typical examples of such wireless tools are Bluetooth, Zigbee, WiFi and WiSUN, which are all based on the IEEE 802 standard families. This paper shows the current status of the IEEE 802 standardization activities related to the support of everyday healthcare and medicine, such as the working groups of the IEEE 802.15.1, 802.11, and 802.15.4g. In addition, it introduces the IEEE 802.15.6 standards for supporting highly reliable wireless communications, which is required for providing medical and healthcare services.
如今,各种重要的传感设备已经能够通过无线技术轻松廉价地连接到任何智能手机上。这类无线工具的典型例子是蓝牙、Zigbee、WiFi和WiSUN,它们都基于IEEE 802标准家族。本文展示了与日常医疗保健和医学支持相关的IEEE 802标准化活动的现状,例如IEEE 802.15.1、802.11和802.15.4g工作组。此外,还介绍了IEEE 802.15.6标准,以支持提供医疗保健服务所需的高可靠无线通信。
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引用次数: 0
期刊
Transactions of Japanese Society for Medical and Biological Engineering
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