2018
DOI: 10.1088/1742-6596/1044/1/012051
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Multi-parameter fuzzy design space for QbD approach applied in the development of biomedical devices

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Cited by 4 publications
(17 citation statements)
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“…The fundamental assumption underlying QbD is that product quality can only be ensured if critical sources of variability are understood and adequately mitigated or controlled [15]. Thus, the QbD tool can be implemented by identifying a series of interdependent parameters and attributes, which, when analyzed, generate knowledge for optimization and quality assurance of the product to be fabricated [16].…”
Section: Introductionmentioning
confidence: 99%
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“…The fundamental assumption underlying QbD is that product quality can only be ensured if critical sources of variability are understood and adequately mitigated or controlled [15]. Thus, the QbD tool can be implemented by identifying a series of interdependent parameters and attributes, which, when analyzed, generate knowledge for optimization and quality assurance of the product to be fabricated [16].…”
Section: Introductionmentioning
confidence: 99%
“…In alignment with Biometrological precepts [7,8], the Laboratory of Biometrology (LaBioMet) at PUC-Rio conducts research aimed at developing low-cost, highsensitivity biomedical sensors and transducers for safe and noninvasive measurements to be incorporated into the clinical environment. Thus, to contribute to the improvement of the quality assurance of biomedical technologies under development, preliminary initiatives have been undertaken to apply QbD approach in the development of devices for use in healthcare such as assistive technologies [15] and magnetic transducers for biomedical application [16,19]. In these studies, initial steps to configure DS was achieved using Fuzzy Logic.…”
Section: Introductionmentioning
confidence: 99%
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