Towards a Theory for Bio $$-$$ - Cyber Physical Systems Modelling

Fass, Didier; Gechter, Franck

doi:10.1007/978-3-319-21073-5_25

Cited by 14 publications

(6 citation statements)

References 22 publications

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“…However, in this case, the MOPC-EIS shows an advantage in accuracy with two fewer points outside the 5% error range and smaller error values, while the MOPC-PC shows a slight tendency to overestimate the flow. The percentage error of the flow estimator was 3.33 ± 0.92%, in agreement with Leao et al [28] and other estimators [30][31][32][33][34][35][36][37][38][39][40][41][42]. The percentage error of the differential pressure estimator was 1.93 ± 0.7%, in agreement with Leao et al [28] and other estimators.…”

Section: Discussionsupporting

confidence: 88%

“…Fontana et al [30] developed a portable system to interface with LVAD sensors and plan to integrate it with the SensorART platform to improve patient quality of life and physician workflow [31]. Fass and Gechter [32] introduced a framework for modeling systems, classifying system dimensions into structural elements, shapes/forms, and dynamics. A PC LVAD was presented within a Health 4.0 framework running on an embedded system [33].…”

Section: Discussionmentioning

confidence: 99%

“…The study conducted by Fass & Gechter [32] introduces a novel isomorphic framework designed for modeling both natural and artificial systems, to redefine the concept of human-in-the-loop (HITL) systems. This innovative framework categorizes system dimensions into three distinct components: structural elements, shapes/forms, and dynamics.…”

Section: Related Workmentioning

confidence: 99%

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Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Santos,

Leão,

Barboza Silva

et al. 2024

J. Electron. Electric. Eng.

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Ventricular Assist Devices (VADs) play a crucial role in both bridging to transplantation and serving as destination therapy for congestive heart failure (CHF) management. This study aims to address the limitations of existing control strategies for VADs, specifically their inability to adapt automatically to hemodynamic changes. It proposes a novel embedded cyber-physical system (CPS) based on real-time data processing, reconfigurable architecture, and communication protocols aligned with Health 4.0 concepts to enhance physiological control over VADs (PC-VAD). The research employs a multi-objective PC-VAD approach within a hybrid cardiovascular simulator. An embedded CPS is introduced to overcome challenges related to differences in controller characteristics between computers and embedded systems. The study assesses the performance of the embedded CPS by comparing it with a computer-based control system. The embedded CPS demonstrates outcomes comparable to the computer-based control system, maintaining mean arterial pressure and cardiac output at physiological levels. Even in the face of variations in ejection fraction, the embedded CPS dynamically adjusts the pump's rotational speed based on simulated clinical conditions. Notably, there is no aortic reflux to the ventricle through the VAD during testing. These findings affirm the satisfactory control performance of the embedded CPS in regulating VADs. The study concludes that the embedded CPS effectively addresses the limitations of current VAD control strategies, exhibiting control performance comparable to computer-based systems. However, further experimentation and in vivo studies are necessary to validate and ensure its applicability in real-world scenarios.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

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Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Santos,

Leão,

Barboza Silva

et al. 2024

J. Electron. Electric. Eng.

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“…The study by Fass & Gechter [35] introduces an isomorphic framework for modeling natural or artificial systems, seeking to redefine the HITL concept. This framework classifies system dimensions into structural elements, shapes/forms, and dynamics.…”

Section: Discussionmentioning

confidence: 99%

Embedded Cyber-physical System for Physiological Control of Ventricular Assist Devices

Santos,

Leao,

Barboza

et al. 2024

Preprint

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Left Ventricular Assist Devices (LVADs) serve as both a bridge to transplantation and a destination therapy for managing congestive heart failure (CHF). However, the existing control strategy's inability to automatically adapt to hemodynamic changes can significantly impact patient survival rates and quality of life. Researchers have proposed various approaches to achieve Physiological Control over LVADs (PC-LVAD). Despite promising results, implementing these strategies on computers faces limitations due to substantial differences in controller characteristics between computers and embedded systems. An embedded cyber-physical system (CPS) was proposed to address this challenge, integrating real-time data processing, reconfigurable architecture, and communication protocols based on Health 4.0 concepts. To evaluate this embedded CPS, a multi-objective PC-LVAD was utilized in a hybrid cardiovascular simulator with an implanted LVAD, testing symmetry between the original proposal of the PC-LVAD and the version running on the embedded CPS. The embedded CPS demonstrated comparable results to the control executed on a computer, maintaining mean arterial pressure and cardiac output at physiological levels, even amid variations in ejection fraction. Furthermore, the pump's rotational speed was dynamically adjusted based on simulated clinical conditions, and no aortic reflux to the ventricle occurred through the LVAD during testing. These outcomes affirm the embedded CPS's satisfactory control performance. However, additional testing is imperative to validate its enhanced physiological strategies in embedded CPS during in vivo experiments.

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“…More people using these devices increases the size of the dataset available for research making the decision making more accurate and increases the chance of a successful diagnosis in the future. The healthcare divisions association with cyber physical systems opens a completely new domain of applications and research, and thus, this domain is termed as 'Bio Cyber Physical Systems' [3].…”

Section: Concept Map Of Cyber Physical Systemsmentioning

confidence: 99%

Role of Data Analytics in Bio Cyber Physical Systems

Singh¹

2021

Studies in Computational Intelligence

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Data science has proved its versatility in all dynamics of the field known to mankind, making decision making faster, and accurate over the past two decades. Coupled with IoT devices and their setups, these have been forerunners in terms of data generation and accurate prognosis. According to advisory firm International Data Corporation (IDC), the number of IoT devices is forecasted to reach 41.6 Billion by 2025, and the data generated from these devices is expected to be 79.4 Zettabytes. One broad sector which has emerged as a gold mine for data generation is the Bio Cyber Physical Systems. Bio Cyber Physical Systems are based on the incorporation of computational elements with biological processes of the human body. The following chapter aims to discuss a new design, implementation of a system based on Bio-CPS, focused primarily on health wearable technologies equipped with stateof-the-art sensors, couple their data with machine learning algorithms to detect realtime health complications primarily in a diabetic person and use of long short-term memory (LSTM) for prediction of such health complications. Keywords Bio cyber physical systems • Health wearable technologies • LSTM neural network

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Towards a Theory for Bio $$-$$ - Cyber Physical Systems Modelling

Cited by 14 publications

References 22 publications

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Embedded Cyber-Physical System for Physiological Control of Ventricular Assist Devices

Embedded Cyber-physical System for Physiological Control of Ventricular Assist Devices

Role of Data Analytics in Bio Cyber Physical Systems

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