By Bernard Canaud, Alexandre Granger, Leila Chenine-Khoualef, Laure Patrier, Marion Morena (auth.), Ahmad Taher Azar (eds.)
This e-book is the 1st textual content of its variety that provides either the normal and the fashionable features of dialysis modeling and keep an eye on in a transparent, insightful and hugely entire writing kind. It presents an in-depth research of the mathematical versions and algorithms, and demonstrates their purposes in actual global difficulties of vital complexity. It explains options in a transparent, matter-of-fact type. the fabric of this ebook might be worthwhile to complex undergraduate and graduate biomedical engineering scholars. additionally, researchers and practitioners within the box of dialysis, regulate platforms, gentle computing will reap the benefits of it.
In order to make the reader conscious of the utilized part of the topic, the ebook contains:
bankruptcy openers with a bankruptcy define, bankruptcy ambitions, keyword phrases record, and summary.
Solved numerical examples to demonstrate the applying of a selected idea, and in addition to motivate sturdy problem-solving skills.
greater than one thousand inquiries to provide the readers a greater perception to the topic.
Case reviews to appreciate the importance of the joint utilization of the dialysis modeling and keep watch over innovations in attention-grabbing difficulties of the genuine global.
most recent details, together with newest study surveys and references regarding the subjects
Read or Download Modeling and Control of Dialysis Systems: Volume 2: Biofeedback Systems and Soft Computing Techniques of Dialysis PDF
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Additional info for Modeling and Control of Dialysis Systems: Volume 2: Biofeedback Systems and Soft Computing Techniques of Dialysis
Improvement of hemodynamic tolerance Reduced Intradialytic morbidity Enhanced dialysis dose delivery Better outcomes of dialysis patients Reduced infection episodes A, B B, C C, D D, E 17. Online blood sensor device may be used… A. To monitor hemoglobin concentration changes B. To assess blood volume changes induced by the ultrafiltration 15 On-Line Hemodialysis Monitoring C. D. E. F. G. H. I. 809 To optimize anemia management and erythropoietin use To assess dry weight and refilling capacity To improve hemodynamic tolerance A, B, C and D B, C, D and E A, B, C and E A, C, D and E 18.
H. I. Better dialysis efficacy Continuous control of dialysis dose delivery Assessment of intrapatient variability Training and self-control tools for nurses Improving dialysis tolerance and quality of life of patient A, B, C and D B, C, D and E A, B, C and E A, B, D and E 20. Quality assurance process in dialysis facilities rely on… A. Online monitoring tools B. Physicians and nurses expertise C. Validated protocols and achievement of targeted dialysis adequacy parameters D. Teledialysis monitoring E.
Such devices may be embarked on the dialysis 15 On-Line Hemodialysis Monitoring 789 machine as technical options or may stand alone as mobile device, but usually they do not require disposable material and they do not generate extra-cost. The non-invasive character and the simplicity to use make them quite appealing and useful for clinicians. Blood volume monitoring devices may have some intrinsic technical limitations in determining absolute values (such as hematocrit, hemoglobin or total protein) but in practice, all have been proved highly correlated with relative blood volume reduction.