Direct mechanical ventricular actuation is effective to reestablish the ventricular function with non-blood contact. Due to the energy loss within the driveline of the direct cardiac compression device, it is necessary to acquire the accurate value of assist pressure acting on the heart surface. To avoid myocardial trauma induced by invasive sensors, the noninvasive estimation method is developed and the experimental device is designed to measure the sample data for fitting the estimation models. By examining the goodness of fit numerically and graphically, the polynomial model presents the best behavior among the four alternative models. Meanwhile, to verify the effect of the noninvasive estimation, the simplified lumped parameter model is utilized to calculate the pre-support and the post-support left ventricular pressure. Furthermore, by adjusting the driving pressure beyond the range of the sample data, the assist pressure is estimated with the similar waveform and the post-support left ventricular pressure approaches the value of the adult healthy heart, indicating the good generalization ability of the noninvasive estimation method.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1063/1.5005043 | DOI Listing |
Int J Biometeorol
January 2025
Center of Agrarian Sciences, Universidade Federal do Ceará, Fortaleza, Brazil.
Heat stress (HS) is one of the main factors associated with welfare concerns during animal transport. The use of infrared thermography (IRT) for digitally monitoring HS in weaned piglets during transportation in a semi-arid region was investigated in the present study. A total of 60 focal piglets (25 ± 2.
View Article and Find Full Text PDFTheranostics
January 2025
Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
Renal pseudotumors, which mimic tumors on imaging, pose diagnostic challenges that can lead to unnecessary interventions. Sensing ultrasound localization microscopy (sULM) is an advanced imaging technique that uses ultrasound imaging and microbubbles as sensors to visualize kidney functional units. This study aims to investigate whether sULM could differentiate between renal pseudotumors and tumors based on the presence of glomeruli.
View Article and Find Full Text PDFAcad Radiol
December 2024
Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104 (D.A.T.). Electronic address:
Rationale And Objectives: Prostate cancer (PCa) is the second most common cancer among men and a leading cause of cancer-related mortalities. Radiomics has shown promising performances in the classification of PCa grade group (GG) in several studies. Here, we aimed to systematically review and meta-analyze the performance of radiomics in predicting GG in PCa.
View Article and Find Full Text PDFClin Imaging
December 2024
Department of Radiology, Neuroradiology Section, UT Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address:
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imaging (MRI)-derived radiomics/end-to-end deep learning (DL) models in predicting glioma alpha thalassemia/mental retardation syndrome X-linked (ATRX) status. We conducted a comprehensive search across four major databases-Web of Science, PubMed, Scopus, and Embase. All the studies that assessed the performance of radiomics and/or end-to-end DL models for predicting glioma ATRX status were included.
View Article and Find Full Text PDFCureus
November 2024
Department of Forensic Odontology, Jagadguru Sri Shivarathreeshwara (JSS) Dental College and Hospital, Mysuru, IND.
Introduction Dental anthropology plays a pivotal role in human evolution and forensic sciences. This study explores a unique method for age estimation-analyzing mamelons on incisors. Mamelons are small projections on the incisal edge of permanent incisors, exhibiting age-related changes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!