Implementation of an end-to-end standard-based patient monitoring solution

Martínez, Ignacio Martínez; Fernández, Juan Miguel Peña; Galarraga, M.; Serrano, L.; Toledo, Paula de; Jiménez-Fernández, Silvia; Led, S.; Martínez-Espronceda, Miguel; García, J.

doi:10.1049/iet-com:20060703

Cited by 22 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Technology standards and specifications provide the basis to achieve interoperability, integration, and scalability through standardized protocols and data models. An end-to-end standard-based patient monitoring solution by Martinez et al transforms the medical data from the X73 Point of Care Medical Device Communication (PoC-MDC) [ 82 ] devices into the EN13606 standard and stores at an electronic healthcare record (EHR) server [ 83 , 84 ]. EN13606 is the extensible European standard for interoperable EHR, which allows adding new medical information to the system, using archetype model that gathers domain concepts for extension [ 85 ].…”

Section: Resultsmentioning

confidence: 99%

Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes

Memon

Wagner

Pedersen

et al. 2014

Sensors

299

147

View full text Add to dashboard Cite

Ambient Assisted Living (AAL) is an emerging multi-disciplinary field aiming at exploiting information and communication technologies in personal healthcare and telehealth systems for countering the effects of growing elderly population. AAL systems are developed for personalized, adaptive, and anticipatory requirements, necessitating high quality-of-service to achieve interoperability, usability, security, and accuracy. The aim of this paper is to provide a comprehensive review of the AAL field with a focus on healthcare frameworks, platforms, standards, and quality attributes. To achieve this, we conducted a literature survey of state-of-the-art AAL frameworks, systems and platforms to identify the essential aspects of AAL systems and investigate the critical issues from the design, technology, quality-of-service, and user experience perspectives. In addition, we conducted an email-based survey for collecting usage data and current status of contemporary AAL systems. We found that most AAL systems are confined to a limited set of features ignoring many of the essential AAL system aspects. Standards and technologies are used in a limited and isolated manner, while quality attributes are often addressed insufficiently. In conclusion, we found that more inter-organizational collaboration, user-centered studies, increased standardization efforts, and a focus on open systems is needed to achieve more interoperable and synergetic AAL solutions.

show abstract

Section: Resultsmentioning

confidence: 99%

Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes

Memon

Wagner

Pedersen

et al. 2014

Sensors

299

147

View full text Add to dashboard Cite

show abstract

Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting

Chaudhry¹,

Qidwai

Miraz

2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

While data from Supervisory Control And Data Acquisition (SCADA) systems is sent upstream, it is both the length of pulses as well as their frequency present an excellent opportunity to incorporate statistical fingerprinting. This is so, because datagrams in SCADA traffic follow a poison distribution. Although wrapping the SCADA traffic in a protective IPsec stream is an obvious choice, thin clients and unreliable communication channels make is less than ideal to use cryptographic solutions for security SCADA traffic. In this paper, we propose a smart alternative of data obfuscation in the form of Impulsive Statistical Fingerprinting (ISF). We provide important insights into our research in healthcare SCADA data security and the use of ISF. We substantiate the conversion of sensor data through the ISF into HL7 format and define policies of a seamless switch to a non HL7-based non-secure HIS to a secure HIS.The ISO/IEEE 11073 and HL7 have successfully played a key role in enabling the medical devices to exchange data amongst themselves. Due to privacy and security issues, this data needs to be protected. Since medical devices are not typically computationally very proficient and the standards advocate lightweight communications, a cryptographic data security scheme is not an ideal solution to go ahead with [4]. In order to address this problem, we propose to use the statistical fingerprinting as data obfuscation method.The Impulsive Statistical Fingerprinting (ISF) was used by Crotti et al. to classify the network traffic for anomaly detection [5]. When network traffic shows an atypical pattern and skewness from the "normal" traffic pattern, this is raised as an anomaly to the system [6]. We use the ISF to prevent leaf sensors from broadcasting the actual readings. Since the ISO/IEEE 11073 allows the flexibility to transmit metadata in the HL7 packet, we calculate the statistical model proposed in this paper to calculate the obfuscated values from sensors before translating the communication in the HL7 format.The statistical model proposed in this paper assumes that the devices are already connected and configured in a network. An initial handshaking between PHDs and IP network provide the baseline values for mean calculation that will help in recalculating back to original values of the sensor data. From the results reported in [7] we learn that the PHDs send periodic metric report containing time stamp, and status value which reports device errors and alarms. The time stamps received from the devices helps keep both the TCP session [8] and time series data consistent. Using the statistical method proposed in [9], which assumes that the time series data is stationary, we consult to the history of the PHD values. We use the algorithm proposed in [9] and apply autoregressive integrated moving average models to find the best fit of the time series model to past values of the time series. An adversary, who is using a Man-in-The-Middle (MiTM) attack, needs to know considerable amount of time series data to predict the...

show abstract

Recent Advances in mHealth: An Update to Personal Health Device Interoperability Based on ISO/IEEE11073

Barrón-González

Martínez-Espronceda

Trigo

et al. 2015

Springer Series in Bio-/Neuroinformatics

View full text Add to dashboard Cite

Abstract. In recent years important advances have been made in the development of health care systems in specific areas owing to different uses and applications. One of the foremost advancements is the so-called mobile Health (mHealth), due to its potential social and economic impact. Within this scope, several technologies -such as smart phones and ultra-slim tablet-PCs, as well as low-voltage and low-power wireless sensor networks -provide telemonitoring services at home and ubiquitous support when they are strongly integrated. Therefore, the integration of international interoperability standards is, nevertheless, required for a regulated transmission of health information in mHealth scenarios. However, such implementation tends to increase the processing load and battery size in order to ensure its autonomy. To tackle this problem, different strategies are being tested in this set of mobile technologies which are aimed at providing a solution to such critical aspects. Another important aspect that should be addressed is the management of communication between different parts that constitutes the system. The new communication capabilities of smart phones enable the implementation of new techniques that improve data transmission from the mobile system to the telemonitoring center, facilitating the integration of Personal Health Devices (PHDs) with telemonitoring systems. This makes the system more accessible to the user.This work highlights some new features of X73PHD and the benefits of using them. In addition, current needs to enhance the operational capacity of the different specializations of X73PHD are also shown, which include the definition of new remote command and control functionalities. These new management functions are being developed in order to allow any X73PHD-compliant manager to modify the operation of any X73PHD-compliant agent. This functionality could expand the technological boundaries of interoperable mHealth to healthcare services and improve Quality of Service (QoS) by providing remote configuration of medical devices to health professionals. The definition of this a new package extension for X73PHD involves the analysis of previous studies and related use cases, work which is currently being carried out within the PHD Working Group

show abstract

Implementation of an end-to-end standard-based patient monitoring solution

Cited by 22 publications

References 12 publications

Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes

Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes

Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting

Recent Advances in mHealth: An Update to Personal Health Device Interoperability Based on ISO/IEEE11073

Contact Info

Product

Resources

About