Control applications for biomedical engineering systems:
Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering stud...
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| Format: | Book |
|---|---|
| Language: | English |
| Published: |
London
Elsevier, AP Academic Press
[2020]
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| Subjects: | |
| Summary: | Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.- Points out theoretical and practical issues to biomedical control systems- Brings together solutions developed under different settings with specific attention to the validation of these tools in biomedical settings using real-life datasets and experiments- Presents significant case studies on devices and applications |
| Item Description: | Approx. 150 illustrations 1. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients 2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control 3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes 4. Robust control applications in biomedical engineering: Control of depth of hypnosis 5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties 6. A closed loop robust control system for electrosurgical generators 7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury 8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge 9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy 10. Control strategies in general anesthesia administration 11. Computational modeling of the control mechanisms involved in the respiratory system 12. Intelligent decision support for lung ventilation 13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment 14. Models based on cellular automata for the analysis of biomedical systems Literaturangaben |
| Physical Description: | xix, 456 Seiten Illustrationen, Diagramme 229 mm |
| ISBN: | 9780128174616 |
Staff View
MARC
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| 245 | 1 | 0 | |a Control applications for biomedical engineering systems |c edited by Ahmad Taher Azar, Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt |
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| 300 | |a xix, 456 Seiten |b Illustrationen, Diagramme |c 229 mm | ||
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| 500 | |a Approx. 150 illustrations | ||
| 500 | |a 1. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients 2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control 3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes 4. Robust control applications in biomedical engineering: Control of depth of hypnosis 5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties 6. A closed loop robust control system for electrosurgical generators 7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury 8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge 9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy 10. Control strategies in general anesthesia administration 11. Computational modeling of the control mechanisms involved in the respiratory system 12. Intelligent decision support for lung ventilation 13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment 14. Models based on cellular automata for the analysis of biomedical systems | ||
| 500 | |a Literaturangaben | ||
| 520 | |a Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.- Points out theoretical and practical issues to biomedical control systems- Brings together solutions developed under different settings with specific attention to the validation of these tools in biomedical settings using real-life datasets and experiments- Presents significant case studies on devices and applications | ||
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| id | DE-604.BV046324484 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:41:40Z |
| institution | BVB |
| isbn | 9780128174616 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031701440 |
| oclc_num | 1142774425 |
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| owner | DE-29T DE-91G DE-BY-TUM |
| owner_facet | DE-29T DE-91G DE-BY-TUM |
| physical | xix, 456 Seiten Illustrationen, Diagramme 229 mm |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier, AP Academic Press |
| record_format | marc |
| spelling | Control applications for biomedical engineering systems edited by Ahmad Taher Azar, Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt London Elsevier, AP Academic Press [2020] xix, 456 Seiten Illustrationen, Diagramme 229 mm txt rdacontent n rdamedia nc rdacarrier Approx. 150 illustrations 1. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients 2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control 3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes 4. Robust control applications in biomedical engineering: Control of depth of hypnosis 5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties 6. A closed loop robust control system for electrosurgical generators 7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury 8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge 9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy 10. Control strategies in general anesthesia administration 11. Computational modeling of the control mechanisms involved in the respiratory system 12. Intelligent decision support for lung ventilation 13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment 14. Models based on cellular automata for the analysis of biomedical systems Literaturangaben Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.- Points out theoretical and practical issues to biomedical control systems- Brings together solutions developed under different settings with specific attention to the validation of these tools in biomedical settings using real-life datasets and experiments- Presents significant case studies on devices and applications bicssc Biomedizinische Technik (DE-588)4006882-1 gnd rswk-swf Biomedizinische Technik (DE-588)4006882-1 s DE-604 Azar, Ahmad Taher Sonstige (DE-588)1129711226 oth Erscheint auch als Online-Ausgabe 978-0-12-817462-3 |
| spellingShingle | Control applications for biomedical engineering systems bicssc Biomedizinische Technik (DE-588)4006882-1 gnd |
| subject_GND | (DE-588)4006882-1 |
| title | Control applications for biomedical engineering systems |
| title_auth | Control applications for biomedical engineering systems |
| title_exact_search | Control applications for biomedical engineering systems |
| title_full | Control applications for biomedical engineering systems edited by Ahmad Taher Azar, Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt |
| title_fullStr | Control applications for biomedical engineering systems edited by Ahmad Taher Azar, Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt |
| title_full_unstemmed | Control applications for biomedical engineering systems edited by Ahmad Taher Azar, Robotics and Internet-of-Things Lab (RIOTU), Prince Sultan University, Riyadh, Saudi Arabia; Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt |
| title_short | Control applications for biomedical engineering systems |
| title_sort | control applications for biomedical engineering systems |
| topic | bicssc Biomedizinische Technik (DE-588)4006882-1 gnd |
| topic_facet | bicssc Biomedizinische Technik |
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