• Title/Summary/Keyword: wireless healthcare systems

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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.

Secure Authentication with Mobile Device for Ubiquitous RFID Healthcare System in Wireless Sensor Networks

  • Kim, Jung-Tae
    • Journal of information and communication convergence engineering
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    • v.9 no.5
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    • pp.562-566
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    • 2011
  • As telecommunication technologies in telemedicine services are developed, the expeditious development of wireless and mobile networks has stimulated wide applications of mobile electronic healthcare systems. However, security is an essential system requirement since many patients have privacy concerns when it comes to releasing their personal information over the open wireless channels. Due to the invisible feature of mobile signals, hackers have easier access to hospital networks than wired network systems. This may result in several security incidents unless security protocols are well prepared. In this paper, we analyzed authentication and authorization procedures for healthcare system architecture to apply secure M-health systems in the hospital environment. From the analyses, we estimate optimal requirements as a countermeasure to its vulnerabilities.

A Robust Wearable u-Healthcare Platform in Wireless Sensor Network

  • Lee, Seung-Chul;Chung, Wan-Young
    • Journal of Communications and Networks
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    • v.16 no.4
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    • pp.465-474
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    • 2014
  • Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.

Cryptanalysis of an 'Efficient-Strong Authentiction Protocol (E-SAP) for Healthcare Applications Using Wireless Medical Sensor Networks'

  • Khan, Muhammad Khurram;Kumari, Saru;Singh, Pitam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.5
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    • pp.967-979
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    • 2013
  • Now a day, Wireless Sensor Networks (WSNs) are being widely used in different areas one of which is healthcare services. A wireless medical sensor network senses patient's vital physiological signs through medical sensor-nodes deployed on patient's body area; and transmits these signals to devices of registered medical professionals. These sensor-nodes have low computational power and limited storage capacity. Moreover, the wireless nature of technology attracts malicious minds. Thus, proper user authentication is a prime concern before granting access to patient's sensitive and private data. Recently, P. Kumar et al. claimed to propose a strong authentication protocol for healthcare using Wireless Medical Sensor Networks (WMSN). However, we find that P. Kumar et al.'s scheme is flawed with a number of security pitfalls. Information stored inside smart card, if extracted, is enough to deceive a valid user. Adversary can not only access patient's physiological data on behalf of a valid user without knowing actual password, can also send fake/irrelevant information about patient by playing role of medical sensor-node. Besides, adversary can guess a user's password and is able to compute the session key shared between user and medical sensor-nodes. Thus, the scheme looses message confidentiality. Additionally, the scheme fails to resist insider attack and lacks user anonymity.

Development Brief of A Body Area Network for Ubiquitous Healthcare : An Introduction to Ubiquitous Biomedical Systems Development Center

  • Hong Joo-Hyun;Kim Nam-Jin;Cha Eun-Jong;Lee Tae-Soo
    • Journal of Biomedical Engineering Research
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    • v.26 no.5
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    • pp.331-335
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    • 2005
  • The fusion technology of small sensor and wireless communication was followed by various application examples of the embedded system, where the social infrastructural facilities and ecological environment were wirelessly monitored. In addition, this technology represents the primary application area being extended into the healthcare field. In this study, a body area network for ubiquitous healthcare is presented. More specifically this represents a wireless biomedical signal acquisition device characterized by small size, low power consumption, pre-processing and archiving capability. Using this device, a new method for monitoring vital signs and activity is created. A PDA-based wireless sensor network enables patients to be monitored during their daily living, without any constraints. Therefore, the proposed method can be used to develop Activities of Daily Living (ADL) monitoring devices for the elderly or movement impaired people. A medical center would be able to remotely monitor the current state of elderly people and support first-aid in emergency cases. In addition, this method will reduce medical costs in society, where the average life expectancy is increasing.

The Implementation of Wireless Bio-signal Monitoring System for U - healthcare (유비쿼터스 헬스케어를 위한 무선 생체신호 감시 시스템 설계)

  • Lee, Seok-Hee;Ryu, Geun-Taek
    • 전자공학회논문지 IE
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    • v.49 no.2
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    • pp.82-88
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    • 2012
  • In this paper, using the Android-based mobile platform designed and integrated U-healthcare systems for personal health care system is proposed. Integrated Biometric systems, electrocardiogram (ECG), oxygen saturation, blood pressure, respiration, body temperature, such as measuring vital signs throughout the module and signal processing biometric information through wireless communication module based on the Android mobile platform is transmitted to the gateway. Biometric data transmitted from a mobile health monitoring system, or transmitted to the server of U-healthcare was designed. By implementing vital signs monitoring system has been measured in vivo by monitoring data to determine current health status of caregivers had the advantage of being able to guarantee mobility respectively. This system is designed as personal health management and monitoring system for emergency patients will be helpful in the development looks U-healthcare system.

Double Binary Turbo Coded Data Transmission of STBC UWB Systems for U-Healthcare Applications

  • Kim, Yoon-Hyun;Kim, Eun-Cheol;Kim, Jin-Young
    • International journal of advanced smart convergence
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    • v.1 no.1
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    • pp.27-33
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    • 2012
  • In this paper, we analyze and simulate performance of space time block coded (STBC) binary pulse amplitude modulation-direct sequence (BPAM-DS) ultra-wideband (UWB) systems with double binary turbo code in indoor environments for various ubiquitous healthcare (u-healthcare) applications. Indoor wireless channel is modeled as a modified Saleh and Valenzuela (SV) model proposed as a UWB indoor channel model by the IEEE 802.15.SG3a in July 2003. In the STBC encoding process, an Alamouti algorithm for real-valued signals is employed because UWB signals have the type of real signal constellation. It is assumed that the transmitter has knowledge about channel state information. From simulation results, it is shown that the STBC scheme does not have an influence on improving bit error probability performance of the BPAM-DS UWB systems. It is also confirmed that the results of this paper can be applicable for u-healthcare applications.

A Case Study on the Implementation of a Real-time Patient Monitoring System based on Wireless Network (무선 네트워크 기반의 실시간 환자 모니터링 시스템 구축 사례 연구)

  • Choi, Jong-Soo;Kim, Dong-Soo
    • IE interfaces
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    • v.23 no.3
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    • pp.246-256
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    • 2010
  • As wireless and mobile technologies have advanced significantly, lots of large sized healthcare organizations have implemented so called mobile hospital (m-Hospital) which provides a location independent and point of care (POC) clinical environment. Implementation of m-Hospital enhances quality of care because health professionals such as physicians and nurses can use hospital information systems at the very place where patients are located without any delay. This paper presents a real-time patient monitoring system based on wireless network technologies. A general framework for the patient monitoring process is introduced and the architecture and components of the proposed monitoring system is described. The system collects and analyzes biometric signals of in-patients who suffer from cancer. Specifically, it continuously monitors oxygen saturation of patients in bed and alarms health professionals instantly when an abnormal status of the patient is detected. The monitoring system has been used and clinically verified in a university hospital.

Design and Implementation of u-Healthcare SensorGrid Gateway for connecting Sensor Network and Grid Network (센서 네트워크와 그리드 네트워크와의 연동을 위한 u-Healthcare 센서그리드 게이트웨이 설계 및 구현)

  • Oh, Se-Jin;Lee, Chae-Woo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.4
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    • pp.64-72
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    • 2008
  • Researchers nowadays are trying to implement u-Healthcare (ubiquitous Healthcare) systems for real-time monitoring and analysis of patients' status through a low-cost and low-power wireless sensor network. u-Healthcare system has an aim to provide reliable and fast medical services for patients regardless of time and space by transmitting to doctors a large quantity of vital signs collected from sensor networks. Existing u-Healthcare systems can merely monitor patients' health status. However, it is not easy to derive physiologically meaningful results by analyzing rapidly vital signs through the existing u-Healthcare systems. We introduce a Grid computing technology for deriving the results by analyzing rapidly the vital signs collected from the sensor network. Since both sensor network and Grid computing use different protocols, a gateway is needed. In addition, we also need to construct a gateway which includes the functions such as an efficient management and control of the sensor network, real-time monitoring of the vital signs and communication services related to the Grid network for providing u-Healthcare services effectively. In this paper, to build an advanced u-Healthcare system by using these two technologies most efficiently, we design and present the results to implement a SensorGrid gateway which connects transparently the sensor network and the grid network.