• Title/Summary/Keyword: Medical Sensor Networks

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Mobile Ubiquitous Healthcare System Using Wireless Sensor Network (무선센서네트워크 기반의 모바일 유비쿼터스 헬스케어시스템)

  • Shin, Kwang-Sig;Yau, Chiew-Lian;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.11
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    • pp.2107-2112
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    • 2006
  • As growing up of elderly population, the interesting on healthcare system in normal life using W is increasing. An integrated u-healthcare service architecture with IEEE 802.11 and IEEE 802.15.4 based sensor network and code divisi(m multiple access(CDMA) public mobile telecommunication networks was designed and developed. Sensor nodes with electrocardiogram(ECG), body core temperature sensors are attached on the patients' body. The healthcare parameters are transferred to web server via CDMA mobile network or through existed LAN network. The existed LAN network is suggested to be used for continuous monitoring of patient's health status in hospital while mobile networks can be used for general purpose at home or outdoor where infra networks unavailable. This system enable healthcare personal to be able to continuously access, review, monitor and transmit the patients information whereever they are, whenever they want. And immediately check their status by using cellular phone and obtain detail information by communication with medical information server through CDMA. By using this developed integrated u-healthcare service architecture, we can monitor patients' health status for 24 hours.

Analyses of Characteristics of U-Healthcare System Based on Wireless Communication

  • Kim, Jung Tae
    • Journal of information and communication convergence engineering
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    • v.10 no.4
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    • pp.337-342
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    • 2012
  • The medical industries are integrated with information technology with mobile devices and wireless communication. The advent of mobile healthcare systems can benefit patients and hospitals, by not only providing better quality of patient care, but also by reducing administrative and medical costs for both patients and hospitals. Security issues present an interesting research topic in wireless and pervasive healthcare networks. As information technology is developed, many organizations such as government agencies, public institutions, and corporations have employed an information system to enhance the efficiency of their work processes. For the past few years, healthcare organizations throughout the world have been adopting health information systems (HIS) based on the wireless network infrastructure. As a part of the wireless network, a mobile agent has been employed at a large scale in hospitals due to its outstanding mobility. Several vulnerabilities and security requirements related to mobile devices should be considered in implementing mobile services in the hospital environment. Secure authentication and protocols with a mobile agent for applying ubiquitous sensor networks in a healthcare system environment is proposed and analyzed in this paper.

Asset Localization in Wireless Sensor Networks

  • Jo, Jung-Hee;Kim, Kwang-Soo;Kim, Sun-Joong
    • Korean Journal of Remote Sensing
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    • v.23 no.5
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    • pp.465-471
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    • 2007
  • Many hospitals have been considering new technology such as wireless sensor network(WSN). The technology can be used to track the location of medical devices needed for inspections or repairs, and it can also be used to detect of a theft of an asset. In an asset-tracking system using WSN, acquiring the location of moving sensor nodes inherently introduces uncertainty in location determination. In fact, the sensor nodes attached to an asset are prone to failure from lack of energy or from physical destruction. Therefore, even if the asset is located within the predetermined area, the asset-tracking application could "misunderstand" that an asset has escaped from the area. This paper classifies the causes of such unexpected situations into the following five cases: 1) an asset has actually escaped from a predetermined area; 2) a sensor node was broken; 3) the battery for the sensor node was totally discharged; 4) an asset went into a shadow area; 5) a sensor node was stolen. We implemented and installed our asset-tracking system in a hospital and continuously monitored the status of assets such as ventilators, syringe pumps, wheel chairs and IV poles. Based on this real experience, we suggest how to differentiate each case of location uncertainty and propose possible solutions to prevent them.

CardioSentinal: A 24-hour Heart Care and Monitoring System

  • Gao, Min;Zhang, Qian;Ni, Lionel;Liu, Yunhuai;Tang, Xiaoxi
    • Journal of Computing Science and Engineering
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    • v.6 no.1
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    • pp.67-78
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    • 2012
  • People are willing to spend more for their health. Traditional medical services are hospital-centric and patients obtain their treatments mainly at the clinics or hospitals. As people age, more medical services are needed to exceed the potentials of this hospital-centric service model. In this paper, we present the design and implementation of CardioSentinal, a 24-hour heart care and monitoring system. CardioSentinal is designed for in-home and daily medical services. It mainly focuses on the outpatients and elderly. CardioSentinal is an interdisciplinary system that integrates recent advances in many fields such as bio-sensors, small-range wireless communications, pervasive computing, cellular networks and modern data centers. We conducted numerous clinic trials for CardioSentinal. Experimental results show that the sensitivity and accuracy are quite high. It is not as good as the professional measurements in hospital due to harsh environments but the system provides valuable information for heart diseases with low-cost and extreme convenience. Some early experiences and lessons in the work will also be reported.

Channel Selection Method of Wireless Sensor Network Nodes for avoiding Interference in 2.4Ghz ISM(Industrial, Scientific, Medical) Band (2.4Ghz ISM(Industrial Scientific Medical) 밴드에서 간섭을 회피하기 위한 무선 센서 노드의 채널 선택 방법)

  • Kim, Su Min;Kuem, Dong Hyun;Kim, Kyung Hoon;Oh, Il;Choi, Seung Won
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.109-116
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    • 2014
  • In recent, ISM (Industrial Scientific Medical) band that is 2.4GHz band authorized free of charge is being widely used for smart phone, notebook computer, printer and portable multimedia devices. Accordingly, studies have been continuously conducted on the possibility of coexistence among nodes using ISM band. In particular, the interference of IEEE 802.11b based Wi-Fi device using overlapping channel during communication among IEEE 802.15.4 based wireless sensor nodes suitable for low-power, low-speed communication using ISM band causes serious network performance deterioration of wireless sensor networks. This paper examined a method of identifying channel status to avoid interference among wireless communication devices using IEEE 802.11b (Wi-Fi) and other ISM bands during communication among IEEE 802.15.4 based wireless sensor network nodes in ISM band. To identify channels occupied by Wi-Fi traffic, various studies are being conducted that use the RSSI (Received Signal Strength Indicator) value of interference signal obtained through ED (Energy Detection) feature that is one of IEEE 802.15.4 transmitter characteristics. This paper examines an algorithm that identifies the possibility of using more accurate channel by mixing utilization of interference signal and RSSI mean value of interference signal by wireless sensor network nodes. In addition, it verifies such algorithm by using OPNET Network verification simulator.

On the QoS Support in Medium Access Control for Medical Sensor Networks (의료용 센서 네트워크에서 QoS 지원의 매체접속제어)

  • Ashrafuzzaman, Kazi;Kwak, Kyung-Sup
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.6
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    • pp.151-158
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    • 2010
  • In line with the requirement of appropriate protocol support for such mission-critical wireless sensor network (WSN) applications as patient monitoring, we investigate the framework for designing medium access control (MAC) schemes. The data traffic in medical systems comes with inherent traffic heterogeneity as well as strict requirement of reliability according to the varied extents of devise-wise criticality in separate cases. This implies that the quality-of-Service (QoS) issues are very distinctly delicate requiring specialized consideration. Besides, there are features in such systems that can be exploited during the design of a MAC scheme. In a monitoring or routine surveillance application, there are degrees of regularity or predictability in traffic as coordinated from a node of central control. The coordinator thus takes on the role of marshaling the resources in a neighborhood of nodes deployed mostly for upstream traffic; in a collision-free scheme, it schedules the time slots for each superframe based on the QoS specifications. In this preliminary study, we identify the key artifacts of such a MAC scheme. We also present basic performance issues like the impact of superframe length on delay incurred, energy efficiency achieved in the network operation as obtained in a typical simulation setup based on this framework.

An Integrated Accurate-Secure Heart Disease Prediction (IAS) Model using Cryptographic and Machine Learning Methods

  • Syed Anwar Hussainy F;Senthil Kumar Thillaigovindan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.504-519
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    • 2023
  • Heart disease is becoming the top reason of death all around the world. Diagnosing cardiac illness is a difficult endeavor that necessitates both expertise and extensive knowledge. Machine learning (ML) is becoming gradually more important in the medical field. Most of the works have concentrated on the prediction of cardiac disease, however the precision of the results is minimal, and data integrity is uncertain. To solve these difficulties, this research creates an Integrated Accurate-Secure Heart Disease Prediction (IAS) Model based on Deep Convolutional Neural Networks. Heart-related medical data is collected and pre-processed. Secondly, feature extraction is processed with two factors, from signals and acquired data, which are further trained for classification. The Deep Convolutional Neural Networks (DCNN) is used to categorize received sensor data as normal or abnormal. Furthermore, the results are safeguarded by implementing an integrity validation mechanism based on the hash algorithm. The system's performance is evaluated by comparing the proposed to existing models. The results explain that the proposed model-based cardiac disease diagnosis model surpasses previous techniques. The proposed method demonstrates that it attains accuracy of 98.5 % for the maximum amount of records, which is higher than available classifiers.

A Study on the Implementation of WBAN-Based Medical Gateway (WBAN 기반의 의료용 게이트웨이 구현에 관한 연구)

  • Park, Yong-Min
    • Journal of Advanced Navigation Technology
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    • v.18 no.6
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    • pp.640-647
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    • 2014
  • The WBAN technology means a short distance wireless network which provides each device's interactive communication by connecting devices inside and outside of body located within 3 meters. It is necessary to develop core technology that the WBAN middleware and application service for WBAN sensor network. A device for gathering patient's biometric information was used zigbex of Hanbaek electronics and we designed the message structure which is collected the biometric information. The gateway design and implementation for the WBAN environment. The embedded system was HBE-empos II of Hanbaek electronics and the WBAN network is implemented to BNC and BN that used for hbe-ubi-zigbex. It was confirmed that the proposed sensor gateway could be used for the interconnection of the proposed system with other networks.

An Adaptive Clustering Algorithm of Wireless Sensor Networks for Energy Efficiency (에너지 효율을 위한 무선센서 네트워크의 적응형 클러스터링 알고리즘)

  • Cho, Young-bok;Lee, Sang-ho;Woo, Sung-Hee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.1
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    • pp.99-106
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    • 2017
  • In the WSN environment, the sensor node is selected as the cluster header and consumes a lot of energy. Therefore, we proposed a method to automatically select a cluster algorithm using the sensor field environment that can improve the reliability of the whole network by applying an energy efficient clustering algorithm based on already deployed sensor field. Experimental results show that FDN is extended about 3 times by using the proposed algorithm. In addition, the network energy is extended by up to 30% compared to the conventional method, thereby improving the reliability of the sensor network.

A Study of Data Maintenance management of Wireless Sensor Network (무선센서 네트워크에서 데이터 유지관리에 관한 연구)

  • Xu, Chen-lin;Lee, Hyun Chang;Shin, Seong Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.217-220
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    • 2014
  • Wireless sensor network(WSN) consists by a large number of low-cost micro-sensor nodes, collaborate to achieve the perception of information collection, processing and transmission tasks in deployment area. It can be widely used in national defense, intelligent transportation, medical care, environmental monitoring, precision agriculture, and industrial automation and many other areas. One of the key technologies of sensor networks is the data maintenance management technology. In this paper we analyze the data management technology of wireless sensor network and pointed their problems.

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