The Development of Cyber-Physical System in Health Care Industry

Ariani, Arni; Soegijoko, Soegijardjo

doi:10.1007/978-981-4585-36-1_3

Cited by 2 publications

(5 citation statements)

References 104 publications

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“…In particular, they are becoming very appealing for applications in the healthcare field, due to the latest progress made in issues as sensors for medicine, Wireless Sensor Networks, and Cloud Computing. These applications involve, among others, the care for patients both in hospitals and at home, as documented also in [15]. As far as health is considered, their presence is notable in distributed robotics (tele‐presence, telemedicine), high‐precision systems and devices for medicine, e‐health and tele‐health devices and systems, and in ubiquitous health (u‐health) systems.…”

Section: Cpss For Healthcare: State Of the Artmentioning

confidence: 99%

“…A further paper reviewing the development of CPSs in the industry related to healthcare is that by Ariani and Soegijoko [15]. In it, healthcare tasks are grouped as personal emergency response systems, automated fall detection, telehealthcare, medical and medication intake management, and for each group examples of disease are given together with the corresponding CPSs available.…”

Section: Cpss For Healthcare: State Of the Artmentioning

confidence: 99%

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Towards a cyber physical system for personalised and automatic OSA treatment

Sannino

Falco

Pietro

2019

IET cyber-phys. syst.

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Section: Cpss For Healthcare: State Of the Artmentioning

confidence: 99%

Section: Cpss For Healthcare: State Of the Artmentioning

confidence: 99%

Towards a cyber physical system for personalised and automatic OSA treatment

Sannino

Falco

Pietro

2019

IET cyber-phys. syst.

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“…17 In CPSs, the physical part of the system sends information about itself to the software part, while the software collects, processes, and sends information, usually in the form of commands, to the physical part. 17 In CPSs, the physical part of the system sends information about itself to the software part, while the software collects, processes, and sends information, usually in the form of commands, to the physical part.…”

Section: A Strategy For Modeling Assessing and Tuning The Dependabimentioning

confidence: 99%

“…These systems involve the combination of sensors, actuators, and other smart controls to solve issues that lie across the physical and computational areas. 17 In CPSs, the physical part of the system sends information about itself to the software part, while the software collects, processes, and sends information, usually in the form of commands, to the physical part. Assessing reliability and availability is a key step in the design, analysis, and tuning of smart cyber-physical systems.…”

Section: A Strategy For Modeling Assessing and Tuning The Dependabimentioning

confidence: 99%

“…This section introduces a set of activities that we proposed for modeling, assessing, and tuning dependability of smart cyber‐physical systems. These systems involve the combination of sensors, actuators, and other smart controls to solve issues that lie across the physical and computational areas . In CPSs, the physical part of the system sends information about itself to the software part, while the software collects, processes, and sends information, usually in the form of commands, to the physical part.…”

Section: A Strategy For Modeling Assessing and Tuning The Dependabimentioning

confidence: 99%

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Dependability analysis of a cyber‐physical system for smart environments

Andrade

Nogueira

Callou

et al. 2018

Concurrency and Computation

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Cyber-Physical Systems (CPSs) represent a new generation of smart systems that orchestrates physical elements with computation. This new class of system is intelligent and connected and is changing the way people deal with engineered systems, just as the Internet transformed the way people interact with information. Although several works have been proposed to support the design and development of CPSs, dependability evaluation of these systems have been investigated little. Dependability assessment (eg, reliability and availability) of cyber-physical systems is of great importance as, very often, they are deployed in safety or business-critical contexts. This paper presents a strategy based on Stochastic Petri Nets (SPNs) for dependability modeling, evaluation, and tuning of smart CPSs. The tuning is carried out through sensitivity analysis on the SPN models to efficiently identify the system components that most impact on the system's overall availability. The feasibility of our approach is demonstrated by evaluating a smart CPS deployed in a water treatment plant. Experimental results revealed that the proposed strategy helps highlight which components require attention when attempting to achieve high availability, and by adding redundancy to these components, the downtime of adopted CPS was reduced drastically from half a day to only 8 minutes. KEYWORDScyber-physical systems, dependability, SPNs, water treatment plant INTRODUCTIONJust as the Internet changed the way people deal with information, Cyber-Physical Systems (CPSs) are transforming the way people interact with engineered systems. These systems combine cyber elements (eg, sensing, actuating, cloud, and networking) with physical elements (like humans, infrastructure, and physical objects) towards a set of common goals. 1,2 CPSs are found in critical infrastructures like transportation networks, nuclear power generation, smart grid, medical devices, water distribution networks, and others. These systems include smart network that sense and interact with the physical world and support real-time, dependable, and efficient operations.System dependability is a fundamental property to be evaluated in CPSs. A dependable CPS ensures that a system functions correctly even in situations in which the system components have failed, either temporarily or permanently. 3 Besides, most of these CPS are mission-critical systems, so that their availability, reliability, and correct operation are essential. An unreliable system often leads to disruption of service, financial cost, and even loss of human life. Therefore, efficient and accurate assessment of these mission-critical CPSs is fundamental to guarantee business operation and to avoid social and economical risks.Several works have been proposed in the literature for supporting the design and development of CPSs. 4-6 However, to the best of our knowledge, no systematic approach has been developed to model, evaluate, and tune the dependability characteristics of these systems. Faza et al 7 performed reliability ev...

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The Development of Cyber-Physical System in Health Care Industry

Cited by 2 publications

References 104 publications

Towards a cyber physical system for personalised and automatic OSA treatment

Towards a cyber physical system for personalised and automatic OSA treatment

Dependability analysis of a cyber‐physical system for smart environments

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