A cross-correlation technique as a system evaluation tool; application to blood flow measurement in extra-corporeal circuits

Şişbot, Sedat

doi:10.1016/j.flowmeasinst.2004.09.001

Cited by 10 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The final observable product describes common components in all or most of the subjects and orders them according to the highest percentage of variation explained by the model, optimized by a distribution of non-Gaussian spatial sources, using fixed point iteration. The resulting components went through Pearson correlation tests and linear regressions were calculated; to determine the network dynamics and the modulation between networks [ 62 ], linear regression was used to measure the strength and direction of the linear relationship between two joint signals [ 63 ]. All these analyses were processed using our own written programs in MATLAB (Mathworks, Natick, MA, USA).…”

Section: Methodsmentioning

confidence: 99%

Neural correlates of the natural observation of an emotionally loaded video

et al. 2018

View full text Add to dashboard Cite

Studies based on a paradigm of free or natural viewing have revealed characteristics that allow us to know how the brain processes stimuli within a natural environment. This method has been little used to study brain function. With a connectivity approach, we examine the processing of emotions using an exploratory method to analyze functional magnetic resonance imaging (fMRI) data. This research describes our approach to modeling stress paradigms suitable for neuroimaging environments. We showed a short film (4.54 minutes) with high negative emotional valence and high arousal content to 24 healthy male subjects (36.42 years old; SD = 12.14) during fMRI. Independent component analysis (ICA) was used to identify networks based on spatial statistical independence. Through this analysis we identified the sensorimotor system and its influence on the dorsal attention and default-mode networks, which in turn have reciprocal activity and modulate networks described as emotional.

show abstract

Section: Methodsmentioning

confidence: 99%

Neural correlates of the natural observation of an emotionally loaded video

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Figure 6 By means of analyzing the conductance sensor response superposition characteristics, the signal is actually a mixed signal which contains two flowing noise signal components, of which one is generated by the gas-phase flow and the other is generated by the oil-phase flow. By using correlation measurement technique, we can conduct the measurements of velocity [27,28].…”

Section: Gas-liquid Velocity Measurement Of Thementioning

confidence: 99%

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Gao

Liu

et al. 2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Flow velocity measurement was an important research of oil-gas-water three-phase flow parameter measurements. In order to satisfy the increasing demands for flow detection technology, the paper presented a gas-liquid phase flow velocity measurement method which was based on energy demodulation algorithm combing with time delay estimation technology. First, a gas-liquid phase separation method of oil-gas-water three-phase flow based on energy demodulation algorithm and blind signal separation technology was proposed. The separation of oil-gas-water three-phase signals which were sampled by conductance sensor performed well, so the gas-phase signal and the liquid-phase signal were obtained. Second, we used the time delay estimation technology to get the delay time of gas-phase signals and liquid-phase signals, respectively, and the gas-phase velocity and the liquid-phase velocity were derived. At last, the experiment was performed at oil-gas-water three-phase flow loop, and the results indicated that the measurement errors met the need of velocity measurement. So it provided a feasible method for gas-liquid phase velocity measurement of the oil-gas-water three-phase flow.

show abstract

“…Auto-correlation and cross-correlation techniques have been favored by engineers and scientists as powerful analysis tools, especially when noise is present in the system. Since cross-correlation and power spectral density functions are tightly coupled, cross-correlation is a well suited instrument for the analysis of time invariant systems [10]. It is convenient to tell the time difference by the similar feature point on Auto-correlation function and cross-correlation function.…”

Section: Correlation Technique For Lamb Wave Signalmentioning

confidence: 99%

Lamb Wave Ultrasonic Tomography for Edge Detecting of Material Loss in Isotropic Media

Wang

2011

AMM

View full text Add to dashboard Cite

The edge of material loss is crucial for material loss evaluation. Lamb wave tomography and model-based edge detecting have been used in isotropic media. Time of flight and velocity of lamb wave are ultrasonic signal features to reconstruct the edge map of material loss. The correlation technique is employed to get the time of arrival more accurate. An ellipse model is used to represent the defects with apparent directional property, and edge detecting will be realized by it. The reconstructed map shows clearly that edge detecting method in this paper is efficient for material loss detection.

show abstract

A cross-correlation technique as a system evaluation tool; application to blood flow measurement in extra-corporeal circuits

Cited by 10 publications

References 3 publications

Neural correlates of the natural observation of an emotionally loaded video

Neural correlates of the natural observation of an emotionally loaded video

Energy Demodulation Algorithm for Flow Velocity Measurement of Oil-Gas-Water Three-Phase Flow

Lamb Wave Ultrasonic Tomography for Edge Detecting of Material Loss in Isotropic Media

Contact Info

Product

Resources

About