نتایج جستجو برای: biomedical signals

تعداد نتایج: 247948  

Journal: :iranian journal of pharmaceutical sciences 0
sahebali manafi materials engineering department, islamic azad university-shahrood branch, shahrood-iran seyyed hossein badiee materials engineering department, islamic azad university-shahrood branch, shahrood-iran

in a hydrothermal route devoted for synthesis of ca10(po4)6(oh)2 (ha) nanostructures, morphology can be controlled by experimental condition to form magical ha or nanostructured nanoparticles. in an intermediate condition, a novel nanostructure namely rose-like bundle of ha rod-likes was found, which is different from known ha nanostructures. the chemical synthesis of nanopowders under hydrothe...

Journal: :caspian journal of internal medicine 0
arezou ghadi noshirvani university of technology, babol, iran soleiman mahjoub babol university of medical sciences, babol, iran fatemeh tabandeh national institute of genetic engineering and biotechnology (nigeb), tehran, iran farid talebnia noshirvani university of technology, babol, iran

background: chitosan nanoparticles have become of great interest for nanomedicine, biomedical engineering and development of new therapeutic drug release systems with improved bioavailability, increased specificity and sensitivity, and reduced pharmacological toxicity. the aim of the present study is to synthesis and optimization of chitosan nanoparticles for industrial and biomedical applicati...

2010
Michał MOMOT Alina MOMOT Adam GACEK

This work presents the general idea of granular description of temporal signal, particularly biomedical signal sampled with constant frequency. The main idea of presented method is based on using triangular fuzzy numbers as information granules in temporal and amplitude spaces. The amplitude space contains values of first few derivatives of underlying signal. The construction of data granules i...

2001
Kleydis SUÁREZ Jesús SILVA Mohamed NAJIM

This article deals with the problem of on-line wave detection in non-stationary signals, through a polynomial approximation based on genetics algorithms. This approximation is estimated by minimising a nonlinear error function, described by the circle equation. We apply this approach to detect sleep spindle waveforms in electroencephalograms (EEG) and R wave and ectopics beats in electrocardiog...

2004
Patrick E. McSharry

Abstract. The ability to detect the existence of nonlinear dynamics may facilitate medical diagnostics for identifying, monitoring and predicting transitions from health to sickness. Detection of such transitions depends on the quality of the available biomedical signals and the relevance of the nonlinear statistics employed. The dangers of using irrelevant statistics are discussed. A simple in...

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