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Three methods of ABI calculation were assessed: using the highest arterial pressure within each leg (method #1), using the lowest pressure in each leg (method #2), and averaging the dorsalis pedis and posterior tibial pressures within each leg (method #3).
Through a simulated case study, it is found that the nonlinear least-squares problem can be solved stably by the advanced Powell's Dog Leg method due to its great convergence ability and numerical stability; and the solution accuracy is also verified.
The animals were maintained in a deep surgical plane of anesthesia throughout the experiment by continuous blood pressure monitor and using the pin-prick of the hind leg method to determine the degree of the anesthesia.
As nominators, the following pressures were used: the highest arterial ankle pressure of each leg (method #1), the lowest pressure (#2), only the systolic pressure of the tibial posterior artery (#3), only the systolic pressure of the tibial anterior artery (#4), and the systolic pressure of the tibial posterior artery after exercise (#5).
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Wang and Li [10] proposed the one-leg-methods for solving nonlinear neutral functional differential equations.
Recently, we also studied the dissipativity of systems (2.1) and of one-leg methods for FIDEs (2.1) [2.1.
In 2014 and 2015, Zhang and Qin studied the stability of Runge-Kutta methods [21] and one-leg methods [22] for this kind of problems, respectively.
In this paper we investigate numerical dissipativity of linear multistep and one-leg methods applied to a class of dissipative delay differential equations.
The leg-to-leg bioimpedance method was used to determine percent body fat.
The effectiveness of the leg retrofitted method has been verified experimentally in both leg segments and tower systems.
In this paper, the most effective leg retrofitting method has been investigated through an experimental testing program using a one-panel angle leg retrofitting model and a nonlinear finite element (FEM) model.
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