Sikora et al., 1988 - Google Patents
Simulation and identification of the vascular system dynamics for adaptive TAH-controller designSikora et al., 1988
- Document ID
- 3284852918820039684
- Author
- Sikora T
- Pohl V
- Moller D
- Hennig E
- Publication year
- Publication venue
- Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
External Links
Snippet
A nonlinear mathematical model of the short-term behavior of the systemic vascular dynamics has been developed for the design of adaptive total artificial heart (TAH) controllers and their optimization. A three-step identification scheme was applied in …
- 230000002792 vascular 0 title abstract description 12
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, E.G. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/02—Prostheses implantable into the body
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Simaan et al. | A dynamical state space representation and performance analysis of a feedback-controlled rotary left ventricular assist device | |
| Giridharan et al. | Physiological control of blood pumps using intrinsic pump parameters: a computer simulation study | |
| McInnis et al. | Adaptive control of left ventricular bypass assist devices | |
| Yu et al. | Estimation of systemic vascular bed parameters for artificial heart control | |
| Pajunen et al. | Model reference adaptive control with constraints for postoperative blood pressure management | |
| JP2017533041A (en) | System and method for simulation and optimization of hemodialysis access | |
| Ruiz et al. | In vitro cardiovascular system emulator (bioreactor) for the simulation of normal and diseased conditions with and without mechanical circulatory support | |
| Rüschen et al. | Online cardiac output estimation during transvalvular left ventricular assistance | |
| Gollee et al. | Nonlinear modelling and control of electrically stimulated muscle: a local model network approach | |
| Coleman | Mathematical analysis of cardiovascular function | |
| Sikora et al. | Simulation and identification of the vascular system dynamics for adaptive TAH-controller design | |
| Furutani et al. | An automatic control system of the blood pressure of patients under surgical operation | |
| Schauer et al. | Real-time estimation of lung model parameters and breathing effort during assisted ventilation | |
| Ruchti et al. | Identification algorithm for systemic arterial parameters with application to total artificial heart control | |
| CN115736874A (en) | Simulation method for predicting personalized in-vitro counterpulsation hemodynamics effect | |
| Son et al. | Model-free adaptive control of the failing heart managed by mechanical supporting devices | |
| Khaledi et al. | Data-driven model predictive controller design for left ventricular assist devices | |
| Bhattacharjee et al. | An Application of Pade Approximation and PID Tuning Technique to Improve the System Performance of Electric Ventricular Assist Device | |
| Semnani et al. | Heartbeat ECG tracking systems using observer based nonlinear controller | |
| Isaka et al. | A fuzzy blood pressure controller | |
| Ding et al. | Modelling, Control and Monitoring of Circulatory Systems with anArtificial Heart | |
| Bakouri | An Intelligent Physiological Control Method Using Sliding Mode Neural Network for Left Ventricular Assist Device | |
| Shimokawa et al. | On-Line Estimation of Circulatory State under Ventricular Assist Device Support Using an Unscented Kalman Filter | |
| Yao et al. | Multiple Model Predictive Control of the Cardiovascular System Using Vagal Nerve Stimulation | |
| Hamalainen et al. | Energy cost minimization in left ventricular ejection: an optimal control model |