scholarly journals Stiffness Parameter Estimation of the Muscle for Six Muscle Model using the Longitudinal Elastic Modulus Search with Gradient Method

2012 ◽  
Vol 48 (4) ◽  
pp. 187-195
Author(s):  
Ryohei MERA ◽  
Hiroshi OKAJIMA ◽  
Nobutomo MATSUNAGA ◽  
Shigeyasu KAWAJI
2013 ◽  
Vol 339 ◽  
pp. 349-354
Author(s):  
Xiang Yong Luo ◽  
Wei Min Lv ◽  
Zhao Qing Song ◽  
Shi Wei Jiang

Least Square Support Vector Machine (LS-SVM) is an important machine of Support Vector Machine (SVM). But this method can not be used for online identification, and maybe lead to calculation inflation. A gradient recursive method of LS-SVM is presented by combining the LS-SVM method with the gradient method. This method can overcome the influence of bad data to the parameter estimation, has a stronger robustness, and improves the calculation speed of LS-SVM. The presented method is applied to the modeling of chaotic series. The simulation example validates the validity of the presented method.


Author(s):  
John Venetis ◽  
Emilio Sideridis

In this paper, an upper bound of the longitudinal elastic modulus of  unidirectional   fibrous composites is proposed according to strength of materials approach, on the premise that the fiber is much stiffer than the matrix. In the mathematical derivations, the concept of boundary interphase between fiber and matrix was also taken into account and the main objective of this work is the attainment of an upper bound for the interphase stiffness with respect to fiber concentration by volume. The novel element here is that the authors have not taken into consideration any specific variation law to approximate the interphase modulus. The theoretical results arising from the proposed formula were compared with those obtained from some reliable theoretical models as well as with experimental data found in the literature, and a satisfactory agreement was observed.


2009 ◽  
Vol 42 (18) ◽  
pp. 7164-7167 ◽  
Author(s):  
N. Gomopoulos ◽  
W. Cheng ◽  
M. Efremov ◽  
P. F. Nealey ◽  
G. Fytas

2016 ◽  
Vol 18 (2) ◽  
pp. 182 ◽  
Author(s):  
Zhaojun Li ◽  
Lianfang Du ◽  
Feng Wang ◽  
Xianghong Luo

Aim: Arterial wall elasticity including the circumferential and longitudinal modulus is a measure of sub-clinical cardiovascular disease; the circumferential modulus is increased in acute ischemic stroke (AIS). There are still no reports of non-invasive measurement of longitudinal elastic modulus of arterial wall and its prospect of clinical application. In this study, the longitudinal elastic modulus of the arterial wall was assessed using real-time shear wave elastography in patients with AIS. The technique’s feasibility and its related factors were studied initially. Materials and methods: In this study 179 patients with AIS and 168 age- and sex-matched controls were examined. The pulse wave velocity (PWV) of the bilateral carotid arteries was measured using radio frequency ultrasound technology. The 20 areas of superficial walls of bilateral carotid artery were analyzed by real-time shear wave elastography (SWE), and the average values of longitudinal average elastic modulus (MEmean), maximum elastic modulus (MEmax), minimum elastic modulus (MEmin), and elastic modulus standard deviation (MESD) were measured. Results: The PWV, MEmean, MEmax and MESD of the carotid artery in patients with AIS were greater than those in the control group. Age, systolic blood pressure, PWV, and low-density lipoprotein were positively related to MEmean and MEmax (r=0.221and r=0.248, r=0.174 and r=0.176, r=0.776 and r=0.716, r=0.173 and r=0.200, p<0.05) and were independent risk factors for MEmean and MEmax。ROC curves for detection of ischemic stroke as decided by PWV, MEmean and MEmax. The area under the curves were 0.55±0.03 (p≤0.05), 0.59±0.03 (p≤0.05) and 0.60±0.03 (p=0.023), respectively. The optimal PWV, MEmean and MEmax cutoff values for the detection of ischemic stroke were 9.66 m/s, 55.4 kPa and 65.4 kPa, with 69%, 73% and 73% sensitivity and 89%, 53% and 51% specificity, respectively. Conclusions: SWE could measure non-invasively the longitudinal elastic modulus of the arterial wall and evaluate the arterial stiffness. It was equivalent to the PWV which showed circular elastic modulus of arterial wall on evaluating AIS. Age, systolic blood pressure, pulse wave velocity, and low-density lipoprotein were independent risk factors for longitudinal elastic modulus. SWE may be effective in the assessment of arterial stiffness and offer a potential clinical benefit.


2010 ◽  
Vol 98 (3) ◽  
pp. 140a-141a
Author(s):  
David Szekely ◽  
Socrates Dokos ◽  
Jamie I. Vandenberg ◽  
Adam P. Hill

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