نتایج جستجو برای: medical signals
تعداد نتایج: 776464 فیلتر نتایج به سال:
background: medical journals are scientific resources where utilization of knowledge is availed and create an environment of competitiveness. to speed up the growth and increase scientific production and in order that the rank of iranian journals be defined regionally and globally, journal standardization is necessary. this study was done to evaluate the country's medical journals from 2004-20...
We investigate an automated identification of weak signals according to Ansoff to improve strategic planning and technological forecasting. Literature shows that weak signals can be found in the organization’s environment and that they appear in different contexts. We use internet information to represent organization’s environment and we select these websites that are related to a given hypoth...
OBJECTIVES To summarize current research in the field of sensors, signals, and imaging in medicine and the impact of it in the medical informatics field through the selection of important and representative papers. METHODS Survey of the 2007 biomedical literature in the area of sensors, signals, and imaging informatics. RESULTS The review process of many candidate papers reflects the large ...
ORTHOGONAL AND SYMMETRIC HAAR WAVELETS ON THE THREE-DIMENSIONAL BALL Andy Chow Master of Science Graduate Department of Computer Science University of Toronto 2010 Spherical signals can be found in a wide range of fields, including astronomy, computer graphics, medical imaging and geoscience. An efficient and accurate representation of spherical signals is therefore essential for many applicati...
The paper introduces entropy as a measure for 1D signals. We propose as entropy measure the relationship between the crest of the signal (i.e. its portion contained between the absolute minimum and maximum) and the energy of the signal. A linear transformation of 2D signals into 1D signals is also illustrated. The experimental results are compared to several fuzzy entropy measures and other wel...
PhysioNet (http://www.physionet.org/) is a web-based resource supplying well-characterized physiologic signals and related open-source software to the biomedical research community. Inaugurated in September 1999 under the auspices of the NIH's National Center for Research Resources (NCRR), PhysioNet provides an on-line forum for free dissemination and exchange of research data and software, wit...
We present an information theoretic approach to multi-modal signal processing, and validate the framework with illustrative examples from medical image processing and multi-media signal processing. The approach tries to adaptively identify that pair of feature space representations of a pair of multi-modal signals which carries maximal redundancy. Analogously, we can say that the framework extr...
In this century, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of large amount of data in human physiological signals. Entropy is a key metric for quantifying the irregularity contained in physiological signals. In this review, we focus on how entropy changes in va...
Power transformers are the most important components of a power system, so their protection is a critical issue. This paper proposes a novel and efficient algorithm based on the high-frequency components of the differential current signal to discriminate between the magnetizing inrush currents and the internal faults. After detecting the over-current in the differential current signals, samples...
Background and purpose: Retinitis Pigmentosa (RP) is one of the retinal degeneration diseases affecting the eye signals. Electroretinogram (ERG) is a signal that plays an important role in diagnosis and treatment of RP. This signal includes useful information that cannot be revealed just in time domain. We aimed to investigate the effect of RP on time, frequency, and time-frequency parameters o...
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