Signal Processing
Mostrando 13-24 de 1181 artigos, teses e dissertações.
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13. Continuous wavelet transform methods for the simultaneous determinations and dissolution profiles of valsartan and hydrochlorothiazide in tablets
ABSTRACT Continuous wavelet transform (CWT) was proposed for the simultaneous determination and dissolution profiles of valsartan (VAL) and hydrochlorothiazide (HCT) in tablets, without the use of a chemical separation procedure. The CWT approach was applied to the original UV spectra and their ratio spectra in the optimal wavelength ranges. After testing se
Braz. J. Pharm. Sci.. Publicado em: 20/04/2017
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14. Heartbeat classification system based on neural networks and dimensionality reduction
Abstract Introduction This paper presents a complete approach for the automatic classification of heartbeats to assist experts in the diagnosis of typical arrhythmias, such as right bundle branch block, left bundle branch block, premature ventricular beats, premature atrial beats and paced beats. Methods A pre-processing step was performed on the electroca
Res. Biomed. Eng.. Publicado em: 12/01/2017
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15. Simulating a Multi-Vehicle Traffic Sensing System Based on Radio Tomographic Imaging
Abstract One of the most recently developed wireless technologies is Radio Tomographic Imaging (RTI). RTI employs a wireless sensor network that produces images of the change in the electromagnetic field of a monitored area using Received Signal Strength (RSS) measurements. This allows the tracking of device-free objects such as humans and cars. This paper i
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-12
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16. Fault Detection in High Speed Helical Gears Considering Signal Processing Method in Real Simulation
Abstract In the present study, in order to detect the fault of the gearmeshs, two engaged gears based on research department of a major automotive company have been modeled. First off, by using the CATIA software the fault was induced to the output gear. Then, the faulty gearmesh and non-faulty gearmesh is modeled to find the fault pattern to predict and est
Lat. Am. j. solids struct.. Publicado em: 2016-11
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17. Volumetric T1 and T2 magnetic resonance brain toolkit for relaxometry mapping simulation
Abstract Introduction Relaxometry images are an important magnetic resonance imaging (MRI) technique in the clinical routine. Many diagnoses are based on the relaxometry maps to infer abnormal state in the tissue characteristic relaxation constant. In order to study the performance of these image processing approaches, a controlled simulated environment is
Res. Biomed. Eng.. Publicado em: 10/10/2016
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18. Comparative study of periodicity estimation methods using ultrasonic signals
Abstract Introduction Various signal-processing techniques have been proposed to extract quantitative information about internal structures of tissues from the original radio frequency (RF) signals instead of an ultrasound image. The quantifiable parameter called the mean scatterer spacing (MSS) can be useful to detect changes in the quasi-periodic microstr
Res. Biomed. Eng.. Publicado em: 09/09/2016
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19. Brainstem Encoding of Aided Speech in Hearing Aid Users with Cochlear Dead Region(s)
Abstract Introduction Neural encoding of speech begins with the analysis of the signal as a whole broken down into its sinusoidal components in the cochlea, which has to be conserved up to the higher auditory centers. Some of these components target the dead regions of the cochlea causing little or no excitation. Measuring aided speechevoked auditory brain
Int. Arch. Otorhinolaryngol.. Publicado em: 2016-09
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20. Are astrocytes executive cells within the central nervous system?
ABSTRACT Experimental evidence suggests that astrocytes play a crucial role in the physiology of the central nervous system (CNS) by modulating synaptic activity and plasticity. Based on what is currently known we postulate that astrocytes are fundamental, along with neurons, for the information processing that takes place within the CNS. On the other hand,
Arq. Neuro-Psiquiatr.. Publicado em: 2016-08
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21. Signal Processing Technique for Time Domain Measurement of S-Parameters
Abstract In this paper, a simple and accurate technique for the measurement of the S-Parameters of a two-port network from time domain data is presented, based on Fourier theory and techniques. This method is proposed to circumvent the need of a network analyser when studying an unknown device, as no additional measurements other than the time domain data ar
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-06
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22. Drowsiness detection for single channel EEG by DWT best m-term approximation
Introduction In this paper we propose a promising new technique for drowsiness detection. It consists of applying the best m-term approximation on a single-channel electroencephalography (EEG) signal preprocessed through a discrete wavelet transform. Methods In order to classify EEG epochs as awake or drowsy states, the most significant m terms from the wav
Res. Biomed. Eng.. Publicado em: 2015-04
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23. A novel method for EMG decomposition based on matched filters
Introduction Decomposition of electromyography (EMG) signals into the constituent motor unit action potentials (MUAPs) can allow for deeper insights into the underlying processes associated with the neuromuscular system. The vast majority of the methods for EMG decomposition found in the literature depend on complex algorithms and specific instrumentation.
Res. Biomed. Eng.. Publicado em: 2015-03
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24. Hydrophobicity Classification of Polymeric Insulators Based on Embedded Methods
Hydrophobicity is an important parameter to characterize electrical properties of insulated materials. Therefore, it is an urgent task to develop on-line instruments to identify the hydrophobicity of insulated material's surface conveniently, quickly and accurately. For this purpose, a novel evaluation system with image processing and decision tree is propos
Mat. Res.. Publicado em: 2015-02