Genetic algorithm optimization of transcutaneous energy transmission systems for implantable ventricular assist devices

Byron, Kelly; Bluvshtein, Vlad; Lucke, L.

doi:10.1109/embc.2013.6609586

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…An application of GA used in the transcutaneous energy transfer system (TETS) can be found in [20]. However, due to possibly limited accuracy of the coil models used, the power transfer efficiency was only 34% in calculation and even less in experiments.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Dual-Band Wireless Power and Data Telemetry System Using Genetic Algorithm

Wang

et al. 2018

IEEE Des. Test

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Inductively coupled coils are commonly used in implanted biomedical electronic devices for wireless power and data transmission. It remains challenging to design such a system to achieve high power transmission efficiency, high data rate and overall low power operation. We have proposed using dual band to transmit power and data separately using different coils, resulting in increased efficiency. The performances of such a transmission system are largely determined by the inductive coils. The optimization of the coils is still a challenging issue, especially for a dual band telemetry system where normally four coils are used. Previously some optimization procedures based on sweeping have been used. In this paper, we propose to use genetic algorithm for the optimization which has the advantages of global optimization, capability of handling multiple targets and providing multiple solutions. In addition, little intervention is needed from the user during the optimization. In the paper, the objective fitness function, parameter encoding and convergence strategy are carefully designed in this GA-based procedure. The results demonstrate that this design procedure can be well applied in the design of the coils in such a telemetry system and can be easily extended to accommodate more design requirements.

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Section: Introductionmentioning

confidence: 99%

Optimization of a Dual-Band Wireless Power and Data Telemetry System Using Genetic Algorithm

Wang

et al. 2018

IEEE Des. Test

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Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines

Zapelini

Galato

Alano

et al. 2022

BMC Med Inform Decis Mak

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Background The review of pharmacotherapy can be conceptualized as a service in which the drugs used by the patient are reviewed to control the risks as well as to improve the results of the drug therapy, detecting, solving, and preventing issues associated with the drug, readjusting the doses and times (schedule) so that the treatment is not incompatible or in duplicity. Methods The aim of the study was to validate an intelligent information system, which was developed to assist the scheduling activity in the pharmacotherapy review. The system used the concept of Genetic Algorithms. To validate the system, hypothetical cases were elaborated considering various aspects of pharmacotherapy such as underdose, overdose, drug interactions and contraindications. These cases were tested in the system and were also analyzed by pharmaceutical experts with clinical and research experience in the pharmacotherapy review process. The degree of agreement between the assessments of the appointments carried out by the pharmaceutical specialists and by the system were measured using the Kappa index with a 95% confidence interval. Results In detecting errors and make propositions, the system was able to identify 80% of errors, with pharmaceutical experts identifying between 20 and 70% of errors. In relation the results of kappa between the cases, the system had 87,3% of concordance, whereas the best pharmaceutical expert had 75,5% of concordance, considering the correct answer. Conclusion It can be concluded that with the methodology used, the investigation met the objectives and confirmed the system is effective for pharmaceutical review process. There are indications that the system can help in the Pharmacotherapy review process, being able to find prescription errors as well as to establish times for the use of medications according to the patient’s routine.

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Genetic algorithm optimization of transcutaneous energy transmission systems for implantable ventricular assist devices

Cited by 2 publications

References 8 publications

Optimization of a Dual-Band Wireless Power and Data Telemetry System Using Genetic Algorithm

Optimization of a Dual-Band Wireless Power and Data Telemetry System Using Genetic Algorithm

Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines

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