Plug-and-Play for Medical Devices: Experiences from a Case Study

Arney, David; Fischmeister, Sebastian; Goldman, Julian M.; Lee, Insup; Trausmuth, Robert

doi:10.2345/0899-8205-43.4.313

Cited by 41 publications

(22 citation statements)

References 5 publications

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“…Present biosensors have the capability to collect vital patient information efficiently [37]. These sensors can collect patients' data in hospital or home and the collected information is forwarded to a sink (or controller) that can use that information locally or transmit to other networks (e.g., cloud network) through a gateway [60].…”

Section: Methodmentioning

confidence: 99%

“…Arney et al [37] proposed a system prototype to support any device that is plug-and-play compatible. In the current implementation, the supervisor shuts off the pump in the presence of a permanent respiratory depression based on a preset threshold.…”

Section: Plug-and-play For Medical Devicesmentioning

confidence: 99%

“…Threshold alarm is very efficient in timely detection of emergency condition. But this alarm strategy causes a high number of alarms [73] and has a high rate of false alarms [74], which leads to caregiver fatigue [37] and may lead them to ignore or turn off alarms [75]. This has been shown to decrease the quality of care [47,74,76].…”

Section: Encryptionmentioning

confidence: 99%

See 2 more Smart Citations

Review of Cyber-Physical System in Healthcare

Haque

Aziz

Rahman³

2014

International Journal of Distributed Sensor Networks

190

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Cyber-physical system (CPS) is an integration of physical processes with computation and communication. It has the ability to add more intelligence to social life. Wireless sensor networks (WSN) can be a vital part of CPS as strong sensing capability is one of the major driving factors for CPS applications. CPS is still considered to be a nascent technology, and there are many challenges yet to be addressed. A few CPS applications in healthcare have been proposed to date, and they lack the flexibility of technology integration, such as integration of computing resources with sensor networks. This paper presents a survey of CPS in healthcare applications that have been proposed to date by academia as well as industry. A comprehensive taxonomy is also provided that characterizes and classifies different components and methods that are required for the application of CPS in healthcare. The taxonomy not only highlights the similarities and differences of the state-of-the-art technologies utilized in CPS for healthcare from the perspective of WSN and Cloud Computing but also identifies the areas that require further research. It is expected that this taxonomy and its mapping to relevant systems will be highly useful for further development of CPS for healthcare.

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Section: Methodmentioning

confidence: 99%

Section: Plug-and-play For Medical Devicesmentioning

confidence: 99%

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Review of Cyber-Physical System in Healthcare

Haque

Aziz

Rahman³

2014

International Journal of Distributed Sensor Networks

190

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“…Interoperable medical devices lead to clear benefits for the care provider and for the patient that help in more accurate assessment of the patient's health. Requirement for integration of medical devices are remote access (to remotely access the device from the supervisor), workflow model (set of steps to specific action in patient care), certification [8].…”

Section: Literature Surveymentioning

confidence: 99%

A Remote Health Monitoring System for Elderly Living in Old-Age Home

2017

IJAERD

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Abstract-Need of automated monitoring system for elderly living at old-age home is a demand in today's world. Internet of Things (IoT) and Cyber-Physical System (CPS) based health monitoring system can help in achieving the solution of that demand. We present design of remote health monitoring system for elderly living in the old-age home. It improves the quality of life and enables early detection and timely recovery of the disease in an elderly at the old-age home. It consists of wearable and low power medical sensor devices able to transfer data to the base station via wireless technology like Bluetooth, ZigBee or Infrared. It enables to connect medical sensors at any time and from anywhere. A base station collects data from sensors and send it to the respective caregivers. To make user interaction simple, we can use either MATLAB or KST which is a data viewing and plotting tool and it has an inbuilt data analysis functionalities.

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“…The ability of medical devices to interoperate with one another has the potential to yield better performance, from reduced false alarms to automatic decision/diagnosis support and medication interaction checking in real-time [1]. This interoperability can improve patient outcomes by reducing the 95K -195K errors committed in U.S. hospitals [8].…”

Section: Introductionmentioning

confidence: 99%

Understanding the security of interoperable medical devices using attack graphs

Taylor

Venkatasubramanian

Shue

2014

Proceedings of the 3rd International Conference on High Confidence Networked Systems

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Medical device interoperability is an increasingly prevalent example of how computing and information technology will revolutionize and streamline medical care. The overarching goal of interoperable medical devices (IMDs) is increased safety, usability, decision support, and a decrease in false alarms and clinician cognitive workload. One aspect that has not been considered thus far is ensuring IMDs do not inadvertently harm patients in the presence of malicious adversaries. Security for medical devices has gained some traction in the recent years following some well-publicized attacks on individual devices, such as pacemakers and insulin pumps. This has resulted in solutions being proposed for securing these devices, usually in stand-alone mode. However, the introduction of interoperability makes medical devices increasingly connected and dependent on each other. Therefore, security attacks on IMDs becomes easier to mount and in a stealthy manner.This work outlines our effort in understanding the threats faced by IMDs, an important first step in eventually designing secure interoperability architectures. In this regard, we present: (1) a detailed attack graph-based analysis of threats on a specific interoperability environment based on providing patients pain medication (PCA) under various levels of interoperability from data aggregation to fully closedloop control, (2) a description of the mitigation approaches possible for each of class of attack vectors identified, and (3) lessons learned from this experience which can be leveraged for improving existing IMD architectures. Our analysis demonstrates that even if we use provably safe medical systems in an interoperable setting with a safe interoperability engine, the presence of malicious behavior may render the entire setup unsafe for the patients.

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Plug-and-Play for Medical Devices: Experiences from a Case Study

Cited by 41 publications

References 5 publications

Review of Cyber-Physical System in Healthcare

Review of Cyber-Physical System in Healthcare

A Remote Health Monitoring System for Elderly Living in Old-Age Home

Understanding the security of interoperable medical devices using attack graphs

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