Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-018-22907-4 http://scihub22266oqcxt.onion/10.1038/s41598-018-22907-4 C5861104!5861104!29559648     free     free     free       Sci+Rep 2018 ; 8 (ä): ä Nephropedia Template TP {{tp|p=29559648|t=2018. Intrinsic Frequency Analysis and Fast Algorithms |pdf=|usr=}}{{29559648}} gab.com Text Intrinsic Frequency Analysis and Fast Algorithms JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29559648 #FOAvip Intrinsic Frequency (IF) has recently been introduced as an ample signal processing method for analyzing carotid and aortic pulse pressure tracings. The IF method has also been introduced as an effective approach for the analysis of cardiovascular system dynamics. The physiological significance, convergence and accuracy of the IF algorithm has been established in prior works. In this paper, we show that the IF method could be derived by appropriate mathematical approximations from the Navier-Stokes and elasticity equations. We further introduce a fast algorithm for the IF method based on the mathematical analysis of this method. In particular, we demonstrate that the IF algorithm can be made faster, by a factor or more than 100 times, using a proper set of initial guesses based on the topology of the problem, fast analytical solution at each point iteration, and substituting the brute force algorithm with a pattern search method. Statistically, we observe that the algorithm presented in this article complies well with its brute-force counterpart. Furthermore, we will show that on a real dataset, the fast IF method can draw correlations between the extracted intrinsic frequency features and the infusion of certain drugs. Twit Text FOAVip Intrinsic Frequency Analysis and Fast Algorithms ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=29559648 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29559648 #FOAvip English Wikipedia <ref>{{Cite pmid|29559648}}</ref> Intrinsic Frequency Analysis and Fast Algorithms #MMPMID29559648 Tavallali P; Koorehdavoudi H; Krupa J Sci Rep 2018[]; 8 (ä): ä PMID29559648show ga Intrinsic Frequency (IF) has recently been introduced as an ample signal processing method for analyzing carotid and aortic pulse pressure tracings. The IF method has also been introduced as an effective approach for the analysis of cardiovascular system dynamics. The physiological significance, convergence and accuracy of the IF algorithm has been established in prior works. In this paper, we show that the IF method could be derived by appropriate mathematical approximations from the Navier-Stokes and elasticity equations. We further introduce a fast algorithm for the IF method based on the mathematical analysis of this method. In particular, we demonstrate that the IF algorithm can be made faster, by a factor or more than 100 times, using a proper set of initial guesses based on the topology of the problem, fast analytical solution at each point iteration, and substituting the brute force algorithm with a pattern search method. Statistically, we observe that the algorithm presented in this article complies well with its brute-force counterpart. Furthermore, we will show that on a real dataset, the fast IF method can draw correlations between the extracted intrinsic frequency features and the infusion of certain drugs. äIntrinsic Frequency Analysis and Fast Algorithms (epmc).pdf DeepDyve Pubget Overpricing