Applications of CPS technologies used in health care.
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Abstract:
The objective of this research is an injection of new modeling techniques into the area of Cyber-Physical Systems (CPSs). The approach is to design new architectures for domain- specific modeling tools in order to permit feedback from analysis, validation, and verification engines to influence how CPSs are designed. This project outlines new research into the integration of existing, heterogeneous modeling languages in order to address problems in CPS design, rather than a single language used to design any CPS.
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With the increasing popularity of mobile computing, cyber physical systems are merging into major mobile systems of our society, such as public transportation, supply chain systems, and taxi networks. Researchers have accumulated abundant knowledge for designing cyber physical systems, such as military surveillance, infrastructure protection, scientific exploration, and smart environments, mostly in relatively stationary settings, i.e., where spatial diversity is limited.
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Body sensor networks (BSN) are emerging cyber-physical systems that promise to improve the quality of life through improved health, augmented sensing and actuation for the disabled, independent living for the elderly, and reduced healthcare costs. However, the physical nature of BSNs introduces several new challenges. The human body, especially in the context of medical conditions, is a highly dynamic and unpredictable physical environment that creates constantly changing demands on sensing, actuation, and quality of service (QoS).
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Medical devices are typically developed as stand-alone units. Current industrial Verification and Validation (V&V) tech- niques primarily target stand-alone systems. Moreover, the US Food and Drug Administration's (FDA) regulatory clearance processes are designed to approve such devices that are integrated by a single manufacturer with complete control over all components.
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Cyber Physical Systems (CPSs) integrate physical devices (e.g., sensors, cameras) with cyber components to form a situation-aware analytical system. The overall research objective of the project is to reveal cross-cutting fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application sectors. Here we provide an overview of our recent research achievements:
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Recent years have seen medical devices go from being monolithic to a collection of integrated systems. Modern medical device systems have thus become a distinct class of cyber-physical systems called Medical Cyber Physical Systems (MCPS), featuring complex and close interaction of sophisticated treatment algorithms with the physical aspects of the system, and especially the patient whose safety is of the utmost concern. The goal of this project is to develop a new paradigm for the design and implementation of safe, secure, and reliable MCPS, which includes:
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Telerobotic systems, such as those used in rescue operations, remotely-operated vehicles or the next-generation robotic surgery, human operators interact with robots through a communi- cation network.
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The objective of this study is to develop a high-performance and robust neural-machine interface (NMI) for artificial legs, which can accurately and reliably identify user intent in real-time.
