Paper Info
Title
Dynamic Risk Management For Cooperative Autonomous Medical Cyber-Physical Systems
Abstract
Medical cyber-physical systems (MCPS) combine independent devices at runtime in order to render new patient monitoring/control functionalities, such as physiological closed loops for controlling drug infusion and optimization of alarms. MCPS and their relevant system contexts are highly variable, which detrimentally affects the application of established safety assurance methodologies. In this paper, we introduce an approach based on dynamic risk assessment and control for MCPS. During runtime, information regarding the safety properties of the constituent systems, relevant information about the patient's characteristics, as well as other relevant context information is utilized to dynamically and continuously optimize the system performance while guaranteeing an acceptable level of safety. We evaluated our approach by means of a patient-controlled analgesia proof-of-concept simulation and sensitivity analysis.
Year
DOI
Venue
2018
10.1007/978-3-319-99229-7_12
COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2018
Keywords
Field
DocType
Medical cyber-physical systems, System of systems, Adaptive systems, Cooperative system, Autonomous systems, Runtime risk management, Modular safety certification, Risk assessment
Systems engineering,Adaptive system,Remote patient monitoring,Computer science,System of systems,Risk assessment,Risk management,Cyber-physical system,Autonomous system (Internet),Safety assurance
Conference
Volume
ISSN
Citations 
11094
0302-9743
2
PageRank 
References 
Authors
0.38
9
3
Name
Order
Citations
PageRank
Fábio Luiz Leite Jr.131.09
Daniel Schneider2447.21
Rasmus Adler3819.26