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2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)最新文献

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Elderly People Care Support System Under COVID-19 Environment Using Advanced ICT/AI Data Science and Its Field Trials 基于先进ICT/AI数据科学的COVID-19环境下老年人护理支持系统及其现场试验
R. Kohno, C. Sugimoto, Takumi Kobayashi, Tomomi Nagasaka, Yuki Ishiguro, Shota Watanabe, Yuichi Tsutatani, Yasuo Moriyama
During the pandemic due to COVID-19, healthcare management for elderly people in care centers has been facing difficulty in judgment acceptance of center users suffering from COVID-19 or not because of a limited number of caregivers in a cost-effective manner. This paper introduces a developed system for dependable healthcare support during the pandemic using advanced ICT and AI data science such as an integrated ICT platform among variable vital sensors connected with a wireless body area network(BAN) and data server via a cloud network, and data analysis for the judgement based on AI data science using a sophisticated machine learning algorithm. This paper investigates feasibility of the developed system by various field trials in practical healthcare service centers sponsored by medical organization and IT service company.
在新冠肺炎大流行期间,由于护理人员数量有限,护理中心的老年人保健管理面临着难以判断是否接受中心用户患有新冠肺炎的困难。本文介绍了利用先进的ICT和AI数据科学开发的大流行期间可靠医疗保健支持系统,例如通过云网络连接无线体域网络(BAN)和数据服务器的可变生命传感器之间的集成ICT平台,以及使用复杂的机器学习算法进行基于AI数据科学的数据分析以进行判断。本文通过在医疗机构和IT服务公司赞助的实际医疗服务中心的各种现场试验来考察所开发系统的可行性。
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引用次数: 0
Microwave Medical Image Segmentation for Brain Stroke Diagnosis: Imaging-Process-Informed Image Processing 微波医学图像分割用于脑卒中诊断:成像-过程-知情图像处理
Chenghui Liu, Zheng Gong, Yifan Chen, Shuaiting Yao
In this paper, we propose a novel imaging-process-informed image segmentation method that accounts for uncertainty during the imaging process. A priori information is incorporated to enhance the contrast between stroke area and healthy tissues. The distorted Born iterative method (DBIM) is utilized to reconstruct the stroke area of the brain. Due to the non-linear relationship between actual and estimated dielectric constants resulting from DBIM, the microwave medical image lacks a clearly defined boundary, posing a challenge to accurately segment it using traditional methods. The proposed method achieves effective image segmentation by improving the traditional threshold method. From the simulation results, the region misclassified by the traditional method accounts for 89%, while the proposed method results in a misclassification rate of only 13%. The results demonstrate a significant improvement of 58.85% in accurately reproducing the dielectric constants.
在本文中,我们提出了一种新的图像分割方法,该方法考虑了成像过程中的不确定性。利用先验信息增强脑卒中区域与健康组织的对比。采用畸变玻恩迭代法(DBIM)重建脑卒中区域。由于DBIM导致实际介电常数与估计介电常数之间的非线性关系,使得微波医学图像缺乏清晰的边界,这给传统方法的准确分割带来了挑战。该方法对传统的阈值分割方法进行了改进,实现了有效的图像分割。从仿真结果来看,传统方法的区域误分类率为89%,而本文方法的区域误分类率仅为13%。结果表明,介质常数的再现精度提高了58.85%。
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引用次数: 0
Comparison of IR-UWB Radar SoC for Non-Contact Biomedical Application 非接触式生物医学应用IR-UWB雷达SoC的比较
Dilshan N. Wickramarachchi, S. P. Rana, M. Ghavami, S. Dudley
The application of Ultra-Wideband (UWB) technology in non-contact biomedical applications has recently grown significantly due to the availability of new UWB System-on-Chips (SoCs). Although these SoCs are designed to adhere to the UWB technology, the features provided by each SoC are different. To implement an optimal system, designers should account for the SoC-specific features. This study analyzes the commercially available Impulse Radio Ultra-Wideband (IR UWB) SoCs to identify their features, performance, suitability for non-contact biomedical applications, and future research directions. Therefore, this study will provide a comprehensive guideline for future researchers and developers to implement UWB Systems with improved performance.
超宽带(UWB)技术在非接触式生物医学应用中的应用最近有了显著的增长,这是由于新型超宽带系统芯片(soc)的可用性。虽然这些SoC设计坚持UWB技术,但每个SoC提供的功能是不同的。为了实现一个最优的系统,设计人员应该考虑特定于soc的特性。本研究分析了市售脉冲无线电超宽带(IR UWB) soc,以确定其特征、性能、非接触生物医学应用的适用性以及未来的研究方向。因此,本研究将为未来的研究人员和开发人员提供一个全面的指导方针,以实现更高性能的超宽带系统。
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引用次数: 0
6G Technology as Enabler of Psychophysical Well-being & Social Inclusion Services for Citizen 4.0 6G技术作为公民4.0身心健康和社会包容服务的推动者
L. Mucchi, S. Jayousi, S. Caputo, C. Barchielli, Marzia Paffetti, M. Alaimo, P. Zoppi, Simona Geli, Pietro Dionisio, E. Tamburini, C. Paggetti
Virtual Reality and Augmented Reality technologies are increasingly being adopted in the healthcare field. Their use not only involves physicians as end users, but also the patients themselves. VR is “consumer ready” and ubiquitous, making it easy for patients to find and use self-management AR/VR tools for conditions such as non-pharmacological pain management. The limited dimensions and wearability of the VR/AR devices make it possible to benefit from them not just in healthcare facilities, but nearly everywhere, making it particularly relevant for people who are forced to stay home due to significant illness. This paper explores the possibilities of social inclusion, psychological benefits and non-pharmacological pain management derived from the routine use of VR and AR, opportunely integrated with other 6G technologies, by isolated individuals that suffer from chronic and acute conditions.
虚拟现实和增强现实技术越来越多地应用于医疗保健领域。它们的使用不仅涉及作为最终用户的医生,也涉及患者本身。VR是“为消费者准备的”并且无处不在,这使得患者很容易找到并使用自我管理AR/VR工具来进行非药物疼痛管理等疾病。VR/AR设备的有限尺寸和可穿戴性使得它们不仅可以在医疗机构中受益,而且几乎可以在任何地方受益,这对那些因重大疾病而被迫呆在家里的人来说尤其重要。本文探讨了社会包容、心理效益和非药物疼痛管理的可能性,这些可能性来自于常规使用VR和AR,并与其他6G技术相结合,适用于患有慢性和急性疾病的孤立个体。
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引用次数: 0
A Study on Stenosis Detection Based on Non-contact Thrill Wave Imaging and Gradient-Boosting Decision Tree 基于非接触刺激波成像和梯度增强决策树的血管狭窄检测研究
Takunori Shimazaki, Yoshifumi Kawakubo, Rumi Iwai, Masashi Fukuhara, Hiroki Aono, J. Mitsudo, Yuhei Hayashi, Shingo Ata, Takeshi Yokoyama, D. Anzai
Hemodialysis therapy generally requires a special blood vessel called an arteriovenous fistula (AVF), which is surgically anastomosed between an artery and a vein. Since an AVF often becomes stenosis, palpation is used to palpate the vessel wall vibrations, which is called thrill wave, before and after hemodialysis treatment. This method is widely used, especially in Japan, because of its simplicity. However, several problems in the palpation has been pointed out in terms of reliability because the palpation requires contact diagnosis. In order to solve the problems in the conventional contact palpation, we developed a thrill wave measurement device using non-contact imaging based on an optical technology. Then, we introduced a gradient-boosting decision tree algorithm to detect stenosis in AVFs. The experimental results showed that true positive rate (TPR) = 92.3%, true negative rate (TNR) = 76.7%, false positive rate (FPR) = 7.7% and false negative rate (FNR) = 23.3% to identify normal and stenotic AVFs.
血液透析治疗通常需要一种称为动静脉瘘(AVF)的特殊血管,它是在动脉和静脉之间进行手术吻合的。由于AVF经常发生狭窄,因此在血液透析治疗前后,采用触诊法触诊血管壁振动,称为刺激波。这种方法被广泛使用,特别是在日本,因为它简单。然而,由于触诊需要接触诊断,触诊在可靠性方面存在一些问题。为了解决传统接触式触诊存在的问题,研制了一种基于光学技术的非接触式成像刺激波测量装置。然后,我们引入了一种梯度增强决策树算法来检测avf中的狭窄。实验结果显示,正常和狭窄型avf的真阳性率(TPR)为92.3%,真阴性率(TNR)为76.7%,假阳性率(FPR)为7.7%,假阴性率(FNR)为23.3%。
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引用次数: 0
Standardization Activities of IEEE P802.15.6ma Wireless Human and Vehicle Area Networks IEEE P802.15.6ma无线人车区域网络的标准化活动
Marco Hernandez, R. Kohno, Takumi Kobayashi, D. Anzai, Minsoo Kim
The paper addresses the recent activities and results of the standardization Task Group IEEE P802.15.6ma. The Task Group has extended the concept of body area networks to vehicle area networks with seamless connectivity between human BAN (HBAN) and vehicle BAN (VBAN) use cases. The new results include channel models, simplified MAC design, HARQ, interference mitigation and bridging to infrastructure. The revision addresses the coexistence operation among multiple BANs and other wireless systems sharing the same spectrum.
本文介绍了标准化任务组IEEE P802.15.6ma最近的活动和结果。工作组已将身体区域网络的概念扩展到车辆区域网络,在人类BAN (HBAN)和车辆BAN (VBAN)用例之间实现无缝连接。新的成果包括信道模型、简化的MAC设计、HARQ、干扰缓解和桥接到基础设施。该修订解决了多个ban和共享同一频谱的其他无线系统之间的共存操作。
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引用次数: 0
Channel Modeling Activities of International Standardization on IEEE 802.15 TG6ma for Human and Vehicle Body Area Networks IEEE 802.15 TG6ma人体和车辆车身区域网络国际标准化信道建模活动
Takumi Kobayashi, D. Anzai, Marco Hernandez, Minsoo Kim, R. Kohno
As an international standard for the short-range wireless communication and body area network, IEEE 802.15.6 has been standardized in 2012. Body area networks (BAN) is targeting higher dependability of the wireless network such as lower error late and less latency. Currently, authors are promoting to make a revision of original 802.15.6-2012 in Task Group 15.6ma. In this revision, BAN is extended into several additional application such as brain-machine interface and vehicle body area networks (VBAN) including new MAC proposals. In order to evaluate the performance of proposals, channel models correspond to these new use cases are required. In this paper, channel modeling activities on this revision TG6ma are introduced.
IEEE 802.15.6作为短距离无线通信和体域网络的国际标准,已于2012年标准化。体域网络(BAN)的目标是无线网络的更高可靠性,如更低的错误延迟和更小的延迟。目前,在15.6ma任务组中,作者正在推动对原始802.15.6-2012进行修订。在此修订版中,BAN扩展到几个额外的应用,如脑机接口和车身区域网络(VBAN),包括新的MAC提案。为了评估建议的性能,需要与这些新用例相对应的通道模型。本文介绍了在TG6ma改版上的渠道建模活动。
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引用次数: 0
Concept of Smart Coordinator for SmartBAN Networks SmartBAN网络的智能协调器概念
Marco Hernandez, M. Hämäläinen, Tuomas Paso, L. Mucchi, D. Anzai, Hirokazu Tanaka
ETSI SmartBAN defines the basic access of an ad hoc personal wireless network for wearables around the human body. SmartBAN provides a communication interface for such wearables and a monitoring station known as the hub. The Smart Coordinator (SC) represents the next step to bridge the monitoring station to infrastructure like Wi-Fi or the cellular network and adds support to other personal technologies like Bluetooth. Hence, the SC intends to support the following: Defining the converge function between the Service Access Point (SAP) of the Link layer (L2) of SmatBAN and the corresponding entity at the infrastructure side. Support of high reliability and dependable Quality of Service (QoS) across networks in the communication path by bridging via the Time Sensitive Networking (TSN) infrastructure. Definition of a vertical for 5G/6G that enables the monitoring of a wide range of personal applications, like health indicators for the elderly, patients, or average people. The SC intends to support coexistence support with other SmartBANs and other wireless systems operating in the same frequency band. A security protocol is of paramount importance for protection of information data and privacy.
ETSI SmartBAN定义了人体周围可穿戴设备的自组织个人无线网络的基本接入。SmartBAN为这些可穿戴设备和一个被称为集线器的监测站提供了一个通信接口。智能协调器(SC)代表了将监测站与Wi-Fi或蜂窝网络等基础设施连接起来的下一步,并增加了对蓝牙等其他个人技术的支持。因此,SC打算支持以下内容:定义SmatBAN链路层(L2)的业务接入点(SAP)与基础设施侧相应实体之间的收敛功能。通过时间敏感网络(TSN)基础设施桥接,在通信路径上跨网络提供高可靠性和可靠的服务质量(QoS)支持。5G/6G垂直定义,可监控广泛的个人应用,如老年人、患者或普通人的健康指标。SC打算支持与其他smartban和其他在同一频段运行的无线系统共存的支持。安全协议对于保护信息、数据和隐私至关重要。
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引用次数: 0
Fundamental MAC Performance Evaluation under Multiple IEEE802.15.6ma BAN Co-Existence 多个IEEE802.15.6ma BAN共存下MAC基本性能评估
D. Anzai, Ryosuke Inuzuka, Minsoo Kim, Takumi Kobayashi, Marco Hernandez, R. Kohno
Development of wearable devices has been remarkable with the rapid spread of short-range wireless communications. Especially, vital data measurement using wearable devices in wireless body area networks (BANs) has been attracting a lot of attention. The physical (PHY) and medium access control (MAC) layer specifications for BANs were standardized in the IEEE 802.15.6 task group (TG) 6ma. The IEEE 802.15.6ma standard could provide a good solution for a coexistence problem in BANs with highly dependable MAC architectures. In this study, we investigated the effectiveness of the MAC protocol based on the IEEE802.15.6ma standard under co-existence situation. Then, as a fundamental performance evaluation of our proposing MAC protocol for IEEE802.15.6ma, the performance such as packet error rate (PER), throughput and transmission delay time was evaluated by computer simulations.
随着短距离无线通信的迅速普及,可穿戴设备的发展日新月异。特别是在无线体域网络(ban)中使用可穿戴设备进行重要数据测量,引起了人们的广泛关注。ban的物理层(PHY)和介质访问控制层(MAC)规范在IEEE 802.15.6任务组(TG) 6ma中进行了标准化。IEEE 802.15.6ma标准可以很好地解决具有高可靠性MAC架构的ban共存问题。在本研究中,我们研究了共存情况下基于IEEE802.15.6ma标准的MAC协议的有效性。在此基础上,对IEEE802.15.6ma的MAC协议进行了分组错误率(PER)、吞吐量和传输延迟时间等性能评估。
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引用次数: 0
Hybrid Smartwatch Multi-factor Authentication 混合智能手表多因素认证
Joseph G. Maes, K. Rahman, Avishek Mukherjee
We propose Hybrid Smartwatch Multi-Factor Authenticator (HS-MFA), a system for leveraging a smartwatch as an additional form of user authentication. HS-MFA examines both inherent and subtle intentional gestures as a means of appropriately identifying a user. The system leverages a custom-developed Android Wear OS smartwatch app that records accelerometer sensor data for both user keystrokes and touchscreen interactions using a smartwatch paired with a smartphone. Observed authentication methods include username and password entry on a keyboard, pattern unlocking for smartphones, and PIN entry with a smartphone. Five different pattern matching methods were examined for a total of 96,880 genuine and impostor comparison tests by processing data from 246 unique user samples. The two best performing analysis methods achieved Equal Error Rate (EER) values between 0 and 67%, with an average of 28%, across the observed three axes of accelerometer sensor data captured through smartwatch. With notable accuracy and ease of use, this method would be a novel and intuitive multifactor authentication system for regular users as well as severely vision-impaired users to provide security for their digital assets in cyberspace.
我们提出了混合智能手表多因素认证器(HS-MFA),这是一种利用智能手表作为用户认证的额外形式的系统。HS-MFA检查固有的和微妙的有意手势作为适当识别用户的手段。该系统利用定制开发的Android Wear OS智能手表应用程序,记录用户使用智能手表与智能手机配对的按键和触摸屏交互的加速度传感器数据。观察到的身份验证方法包括在键盘上输入用户名和密码、智能手机的模式解锁和智能手机的PIN输入。通过处理来自246个独特用户样本的数据,研究了五种不同的模式匹配方法,共进行了96,880次真品和冒牌货比较测试。两种性能最好的分析方法在通过智能手表捕获的加速度计传感器数据的观察三个轴上实现了相等错误率(EER)值在0到67%之间,平均为28%。该方法具有显著的准确性和易用性,将为普通用户和严重视力受损的用户提供一种新颖直观的多因素认证系统,为他们在网络空间中的数字资产提供安全保障。
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引用次数: 0
期刊
2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)
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