Constrained independent component analysis (CICA) is capable of eliminating the order ambiguity that is found in the standard ICA and extracting the desired independent components by incorporating prior information into the ICA contrast function. However, the current CICA method produces constraints that are based on only one type of prior information (temporal/spatial), which may increase the ...

The paper presents a novel technique of constrained independent component analysis (CICA) to introduce constraints into the classical ICA and solve the constrained optimization problem by using Lagrange multiplier methods. This paper shows that CICA can be used to order the resulted independent components in a specific manner and normalize the demixing matrix in the signal separation procedure....

The Cica Fungi Test Candida is a novel immunoassay test that is used in Japan to detect Candida mannan antigens. A total of 130 samples from 89 cases in which the β-D-glucan assay (MK method) was positive were collected between July 2007 and August 2008 at Nagasaki University Hospital, and the Cica Fungi Test Candida and Cand-Tec were performed. Diagnosis of candidemia was based on a positive c...

Introduction. Independent component analysis (ICA) [1] is a useful tool for fMRI data analysis, but it suffers from the intrinsic order ambiguity, which makes it tricky to pick up the interested components across different runs and makes a problem of assessing the same or similar components across subjects. One solution is to incorporate prior information in the learning process as in the const...

The movement related cortical potential (MRCP), a slow cortical potential from the scalp electroencephalogram (EEG), has been used in real-time brain-computer-interface (BCI) systems designed for neurorehabilitation. Detecting MPCPs in real time with high accuracy and low latency is essential in these applications. In this study, we propose a new MRCP detection method based on constrained indep...

Constrained independent component analysis (CICA) eliminates the order ambiguity of standard ICA by incorporating prior information into the learning process to sort the components intrinsically. However, the original CICA (OCICA) and its variants depend on a learning rate, which is not easy to be tuned for various applications. To solve this problem, two learning-rate-free CICA algorithms were...

Cervical internal carotid artery (cICA) occlusion is a recognized cause of acute ischemic stroke (AIS) in sickle cell disease (SCD), but the associated clinical and radiologic features are not well described. We reviewed data on cervical magnetic resonance angiography (cMRA) performed prospectively in 67 patients (55 children) for indications including transcranial Doppler (TCD) abnormalities, ...

As robotic surgery continues to disseminate into the field of colon and rectal surgery, there is a growing interest in utilization intracorporeal anastomosis potentially improve surgical outcomes. The purpoe this study was compare feasibility, safety, short-term outcomes sigmoid low anterior resections performed with completely (CICA) technique traditional extracorporeal assisted (ECAA) techniq...

This chapter consider new methods of component extraction and identification for the Environmental Sustainability Index (ESI) – an aggregation of environmental variables created as a measure of overall progress towards environmental sustainability. Principally, the authors propose and illustrate a parametric version of Independent Component Analysis via Copulas (CICA). The CICA procedure yields...

The objective of this work was to evaluate the yield performance of two generations (BC2F2 and BC2F9) of introgression lines developed from the interspecific cross between Oryza sativa and O. glumaepatula, and to identify the SSR markers associated to yield. The wild accession RS‐16 (O. glumaepatula) was used as donor parent in the backcross with the high yielding cultivar Cica‐8 (O. sativa). A...