نتایج جستجو برای: centralized signal processing

تعداد نتایج: 828505  

Journal: :journal of biomedical physics and engineering 0
s khosravani master’s student of bioelectrical engineering, biological systems control laboratory, 3assistant professor at the department of biomedical engineering, department of biomedical engineering, amirkabir university of technology (tehran polytechnic), tehrn a maleki assistant professor at the department of electrical and computer engineering, semnan university, semnan, iran a fallah assistant professor at the department of biomedical engineering, amirkabir university of technology (tehran polytechnic), tehran, iran

muscle fatigue assessment has been the basis of numerous studies, specifically, in neuromuscular rehabilitation and the applications of fessystems. various emgbased techniques, in time and frequency domains, have been investigatedover years for the detection and evaluationof this phenomenon. the main objective of this study has beento evaluate the efficiency of applying a number of techniques w...

Journal: :journal of biomedical physics and engineering 0
s. khosravani master student of biomedical engineering, amirkabir university of technology (tehran polytechnic) a. maleki assisstant professor, department of electrical and computer engineering, semnan university a. fallah assisstant professor, department of biomedical engineering, amirkabir university of technology (tehran polytechic)

background: muscle fatigue is an important issue in neuromuscular rehabilitation. better control of this phenomenon would result in better prevention of its consequent physiological damages. objective: to provide a mathematical representation of muscle fatigue as a function of time. methods: we conducted this study by combining the emg-based estimation methods of muscle activation with the avai...

Journal: :basic and clinical neuroscience 0
samira abbasi computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran. ataollah abbasi computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran. yashar sarbaz department of mechatronics, school of engineering- emerging technologies, university of tabriz, tabriz, iran. mahyar janahmadi neuroscience research center, shahid beheshti university of medical sciences, tehran, iran.

introduction: purkinje cell (pc) output displays a complex firing pattern consisting of high frequency sodium spikes and low frequency calcium spikes, and disruption in this firing behavior may contribute to cerebellar ataxia. riluzole, neuroprotective agent, has been demonstrated to have neuroprotective effects in cerebellar ataxia. here, the spectral analysis of pcs firing in control, 3-acety...

Journal: :iranian journal of medical physics 0
seyed ali shafiei assistant professor of medical physics, school of medicine, qom university of medical sciences, qom, iran

introduction many features, emerging from mathematical techniques, have been used in the analysis of brain signals. in this study, the physical quantity of “moment of inertia” (moi) was introduced as a feature to enhance high-frequency waves (hfws) in electroencephalography (eeg). materials and methods in this research, the recorded eegs from f3, f4, and cz points in 20 males were used. a total...

Journal: :The Journal of the Institute of Television Engineers of Japan 1994

Journal: :journal of ai and data mining 2014
milad azarbad hamed azami saeid sanei a ebrahimzadeh

the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...

Avijit Mallik, Md. Arman Arefin Shaik Asif Hossain,

An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده مهندسی 1387

چکیده ندارد.

Nowadays, several infrastructure-based low-frequency acoustical sensor networks are employed in different applications to monitor the activity of diverse natural and man-made phenomena, such as avalanches, earthquakes, volcanic eruptions, severe storms, super-sonic aircraft flights, etc. Two signal detection methods are usually implemented in these networks for the purpose of event occurrence i...

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