نتایج جستجو برای: ica

تعداد نتایج: 8782  

مهدی‌خانی, مهدی , کهایی, محمد حسین ,

We present the new LICAD algorithm to solve the permutation problem of the ICA in the frequency domain and improve the separation quality. In the proposed algorithm, first, the sources' angles are estimated in each frequency bin using an ICA separating matrix. Then, these estimates are compared to the true values obtained from a pre-processing stage. If the difference among similar angles is le...

Optimization of turning process is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of present study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of multipass turning process. This algorithm is inspired by competition mechanism among imperialists and coloni...

Journal: :Diagnostic and interventional radiology 2016
Zeyneb Yüceler Mecit Kantarcı İbrahim Halil Tanboğa Recep Sade Yeşim Kızrak Berhan Pirimoğlu Ümmügülsüm Bayraktutan Hayri Oğul Enbiya Aksakal

PURPOSE The SYNTAX Score (SS) has an important role in grading the complexity of coronary artery disease (CAD) in patients undergoing revascularization. Noninvasive determination of SS prior to invasive coronary angiography (ICA) might optimize patient management. We aimed to evaluate the agreement between ICA and multidetector computed tomography (MDCT) while testing the diagnostic effectivene...

Journal: :Circulation research 2003
Lev Protas Andrea Barbuti Jihong Qu Vitalyi O Rybin Richard D Palmiter Susan F Steinberg Richard B Robinson

Cell culture studies demonstrate an increase in cardiac L-type Ca2+ current (ICa,L) density on sympathetic innervation in vitro and suggest the effect depends on neurally released neuropeptide Y (NPY). To determine if a similar mechanism contributes to the postnatal increase in ICa,L in vivo, we prepared isolated ventricular myocytes from neonatal and adult mice with targeted deletion of the NP...

2000
V. D. Calhoun T. Adali G. D. Pearlson J. J. Pekar James J. Pekar

Independent Component Analysis (ICA) is a technique that attempts to separate data into maximally independent groups. Achieving maximal independence in space or time yields two varieties of ICA meaningful for functional MRI (fMRI) applications: spatial-ICA (SICA) and temporal-ICA (TICA). SICA has so far dominated the application of ICA to fMRI. The objective of these experiments was to study IC...

2015
Patrik Schwarzer Sven-Olaf Kuhn Sylvia Stracke Matthias Gründling Stephan Knigge Sixten Selleng Maximilian Helm Sigrun Friesecke Peter Abel Anders Kallner Matthias Nauck Astrid Petersmann

INTRODUCTION Ionized calcium (iCa) concentration is often used in critical care and measured using blood gas analyzers at the point of care. Controlling and adjusting regional citrate anticoagulation (RCA) for continuous renal replacement therapy (CRRT) involves measuring the iCa concentration in two samples: systemic with physiological iCa concentrations and post filter samples with very low i...

Journal: :Applied sciences 2021

Dimensional reduction methods have significantly improved the simplification of Pulsed Thermography (PT) data while improving accuracy results. Such approaches reduce quantity to analyze and improve contrast main defects in samples contributed their popularity. Many works been proposed literature mainly based on Principal Component (PCT). Recently Independent Analysis (ICA) has a topic attentio...

Journal: :American journal of physiology. Endocrinology and metabolism 2004
Ignacio López Escolástico Aguilera-Tejero José Carlos Estepa Mariano Rodríguez Arnold J Felsenfeld

Recently, we showed that both acute metabolic acidosis and respiratory acidosis stimulate parathyroid hormone (PTH) secretion in the dog. To evaluate the specific effect of acidosis, ionized calcium (iCa) was clamped at a normal value. Because iCa values normally increase during acute acidosis, we now have studied the PTH response to acute metabolic and respiratory acidosis in dogs in which the...

2008
François B. Vialatte Jordi Solé i Casals Monique Maurice Charles-François Vincent Latchoumane Nigel R. Hudson Sunil Wimalaratna Jaeseung Jeong Andrzej Cichocki

Does Independent Component Analysis (ICA) denature EEG signals? We applied ICA to two groups of subjects (mild Alzheimer patients and control subjects). The aim of this study was to examine whether or not the ICA method can reduce both group differences and within-subject variability. We found that ICA diminished Leave-OneOut root mean square error (RMSE) of validation (from 0.32 to 0.28), indi...

Journal: :Journal of neural engineering 2016
Yaqub Jonmohamadi Richard D Jones

OBJECTIVE One of the most widely used approaches in electroencephalography/magnetoencephalography (MEG) source imaging is application of an inverse technique (such as dipole modelling or sLORETA) on the component extracted by independent component analysis (ICA) (sensor-space ICA + inverse technique). The advantage of this approach over an inverse technique alone is that it can identify and loc...

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