Over-distension prediction via hysteresis loop analysis and patient-specific basis functions in a virtual patient model

Author(s):  
Qianhui Sun ◽  
J. Geoffrey Chase ◽  
Cong Zhou ◽  
Merryn H. Tawhai ◽  
Jennifer L. Knopp ◽  
...  
Author(s):  
Tsubasa Maruyama ◽  
Tatsushi Tokuyasu ◽  
Kazuhiko Toshimitsu ◽  
Kazutoshi Okamura ◽  
Kazunori Yoshiura

2021 ◽  
pp. 110622
Author(s):  
Giulia Luraghi ◽  
Sara Bridio ◽  
Jose Felix Rodriguez Matas ◽  
Gabriele Dubini ◽  
Nikki Boodt ◽  
...  

2014 ◽  
Vol 19 (2) ◽  
pp. 176-180 ◽  
Author(s):  
T. Tokuyasu ◽  
E. Maeda ◽  
T. Okamoto ◽  
K. Toshimitsu ◽  
K. Okamura ◽  
...  

2011 ◽  
Vol 38 (5) ◽  
pp. 2639-2650 ◽  
Author(s):  
Bingqi Guo ◽  
X. George Xu ◽  
Chengyu Shi

2011 ◽  
Vol 17 (1) ◽  
pp. 46-48 ◽  
Author(s):  
Vicente Hernández-Soler ◽  
Reyes Enciso ◽  
George J. Cisneros

2020 ◽  
Vol 1 (1) ◽  
pp. 40-50
Author(s):  
Tim van Loon ◽  
Christian Knackstedt ◽  
Richard Cornelussen ◽  
Koen D Reesink ◽  
Hans-Peter Brunner La Rocca ◽  
...  

Abstract Aims The relative impact of left ventricular (LV) diastolic dysfunction (LVDD) and impaired left atrial (LA) function on cardiovascular haemodynamics in heart failure with preserved ejection fraction (HFpEF) is largely unknown. We performed virtual patient simulations to elucidate the relative effects of these factors on haemodynamics at rest and during exercise. Methods and results The CircAdapt cardiovascular system model was used to simulate cardiac haemodynamics in wide ranges of impaired LV relaxation function, increased LV passive stiffness, and impaired LA function. Simulations showed that LV ejection fraction (LVEF) was preserved (>50%), despite these changes in LV and LA function. Impairment of LV relaxation function decreased E/A ratio and mildly increased LV filling pressure at rest. Increased LV passive stiffness resulted in increased E/A ratio, LA dilation and markedly elevated LV filling pressure. Impairment of LA function increased E/A ratio and LV filling pressure, explaining inconsistent grading of LVDD using echocardiographic indices. Exercise simulations showed that increased LV passive stiffness exerts a stronger exercise-limiting effect than impaired LV relaxation function does, especially with impaired LA function. Conclusion The CircAdapt model enabled realistic simulation of virtual HFpEF patients, covering a wide spectrum of LVDD and related limitations of cardiac exercise performance, all with preserved resting LVEF. Simulations suggest that increased LV passive stiffness, more than impaired relaxation function, reduces exercise tolerance, especially when LA function is impaired. In future studies, the CircAdapt model can serve as a valuable platform for patient-specific simulations to identify the disease substrate(s) underlying the individual HFpEF patient’s cardiovascular phenotype.


2010 ◽  
Vol 37 (6Part10) ◽  
pp. 3155-3155
Author(s):  
W He ◽  
B Guo ◽  
X Xu ◽  
C Shi

1996 ◽  
Vol 35 (02) ◽  
pp. 127-141 ◽  
Author(s):  
O. Thews ◽  
C. Rohrbach ◽  
M. Sergl ◽  
K. Pommerening ◽  
R. Müller

AbstractThe data of a patient undergoing complex diagnostic and therapeutic procedures do not only form a simple chronology of events, but are closely related in many ways. Such data contexts include causal or temporal relationships, they express inconsistencies and revision processes, or describe patient-specific heuristics. The knowledge of data contexts supports the retrospective understanding of the medical decision-making process and is a valuable base for further treatment. Conventional data models usually neglect the problem of context knowledge, or simply use free text which is not processed by the program. In connection with the development of the knowledge-based system THEMPO (Therapy Management in Pediatric Oncology), which supports therapy and monitoring in pediatric oncology, a graph-grammar approach has been used to design and implement a graph-oriented patient model which allows the representation of non-trivial (causal, temporal, etc.) clinical contexts. For context acquisition a mouse-based tool has been developed allowing the physician to specify contexts in a comfortable graphical manner. Furthermore, the retrieval of contexts is realized with graphical tools as well.


2020 ◽  
Vol 814 ◽  
pp. 152265 ◽  
Author(s):  
Avinash Ravi Raja ◽  
Meghanshu Vashista ◽  
Mohd Zaheer Khan Yusufzai

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