Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Grasp

Encyclopedia of Healthcare Information Systems
To take hold of or seize firmly with, or as if with the hand.
Published in Chapter:
Myoelectric Control of Prosthetic Devices for Rehabilitation
Rami N. Khushaba (University of Technology, Australia) and Adel A. Al-Jumaily (University of Technology, Australia)
Copyright: © 2008 |Pages: 7
DOI: 10.4018/978-1-59904-889-5.ch119
Abstract
Bio-signals patterns analysis problems have enjoyed a rapid increase in popularity in the past few years. The electromyography (EMG) signal, also referred to as the Myoelectric signal (MES), recorded at the surface of the skin, is one of the biosignals generated by the human body, representing a collection of electrical signals from the muscle fibre, acting as a physical variable of interest since it first appeared in the 1940s (Scott, 1984). It was considered to be the main focus of scientists, and was advanced as a natural approach for the control of prosthesis, since it is utilising the electrical action potential of the residual limb’s muscles remaining in the amputee’s stump (which still has normal innervations, and thus is subject to voluntary control) as a control signal to the prosthesis—in other words, it allows amputees to use the same mental process to control their prosthesis as they had used in controlling their physiological parts; however, the technology in that time was not adequate to make clinical application viable. With the development of semiconductor devices technology, and the associated decrease in device size and power requirements, the clinical applications saw promise, and research and development increased dramatically.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Biased Randomization of Classical Heuristics
Short for Greedy randomized adaptive search procedures; it is a multi-start metaheuristic which uses uniform random numbers and a restricted candidate list to explore the solution space. At each iteration, two phases are executed: the construction phase and the local search phase.
Full Text Chapter Download: US $37.50 Add to Cart
Investigating the Efficiency of GRASP for the SDST HFS with Controllable Processing Times and Assignable Due Dates
The GRASP (Greedy Randomized Adaptive Search Procedure) metaheuristic is a multi-start or iterative process, in which each iteration consists of two phases: a construction and a local search. The construction phase builds a feasible solution by probabilistically selecting the next element to be incorporated in a partial solution from a restricted candidate list (RCL) composed of the best elements, as measured by a greedy function. Local search is then applied to the constructed solution until a local optimum is found.
Full Text Chapter Download: US $37.50 Add to Cart
Designing Supply Chains Using Optimization
Stands for Greedy Randomized Adaptive Search Procedure. It is a greedy algorithm that incorporates probabilistic decisions during the resolution process.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR