Formal methods: state of the art and future directions
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
International Journal on Software Tools for Technology Transfer (STTT)
HCMDSS-MDPNP '07 Proceedings of the 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability
Symbolic analysis for improving simulation coverage of Simulink/Stateflow models
EMSOFT '08 Proceedings of the 8th ACM international conference on Embedded software
Improving medical protocols by formal methods
Artificial Intelligence in Medicine
Medical cyber physical systems
Proceedings of the 47th Design Automation Conference
On effective testing of health care simulation software
Proceedings of the 3rd Workshop on Software Engineering in Health Care
ACM SIGBED Review - Work-in-Progress (WiP) Session of the 2nd International Conference on Cyber Physical Systems
Towards an automated assistant for clinical investigations
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Digital mockups for the testing of a medical ventilator
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
Design challenges for secure implantable medical devices
Proceedings of the 49th Annual Design Automation Conference
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
A low complexity coordination architecture for networked supervisory medical systems
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
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A model-driven design and validation of closed-loop medical device systems is presented. Currently, few if any medical systems on the market support closed-loop control of interconnected medical devices, and mechanisms for regulatory approval of such systems are lacking. We present a system implementing a clinical scenario where closed-loop control may reduce the possibility of human error and improve safety of the patient. The safety of the system is studied with a simple controller proposed in the literature. We demonstrate that, under certain failure conditions, safety of the patient is not guaranteed. Finally, a more complex controller is described and ensures safety even when failures are possible. This investigation is an early attempt to introduce automatic control in clinical scenarios and to delineate a methodology to validate such patient-in-the-loop systems for safe and correct operation.