scholarly journals Automated Threshold Determination of Auditory Evoked Brainstem Responses by Cross-correlation Analysis with Varying Sweep Number

2019 ◽  
Author(s):  
Haoyu Wang ◽  
Bei Li ◽  
Xu Ding ◽  
Xueling Wang ◽  
Zhiwu Huang ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Test Procedure ◽  
Auditory Brainstem ◽  
Time Shift ◽  
Strong Response ◽  
Reliable Determination ◽  
Threshold Determination ◽  
Cross Correlation Analysis ◽  
Brainstem Response

ABSTRACTAuditory brainstem response (ABR) is widely employed to evaluate the hearing function, both in clinics and basic research. Despite many attempts for automation over decades, reliable determination of threshold stimulus level still relies on human visual identification of waveform, which oftentimes is subjective. Here, we report a robust procedure for automatic and accurate threshold determination in both mouse and human ABR. Contrary to prior approaches, in our new threshold determination algorithm, the on-going averaging is stopped once the waveform is confirmed by a cross-correlation time shift approach. The flexible ending sweep numbers for different stimuli is used to inform the threshold determination. We found a good match of the threshold readings between the algorithm and the human judges. Moreover, in the algorithm, smaller sweep number is required for strong response from supra-threshold level, and thus a considerable portion of sweeps can be saved in comparison to the case with level averaging of a fix number. These features are attractive and implementation of this method in commercial devices will make the ABR test procedure more objective and efficient.

scholarly journals First Determination of 2D Speed Distribution within the Bodies of Coronal Mass Ejections with Cross-correlation Analysis

2019 ◽  
Vol 880 (1) ◽  
pp. 41 ◽  
Author(s):  
Beili Ying ◽  
Alessandro Bemporad ◽  
Silvio Giordano ◽  
Paolo Pagano ◽  
Li Feng ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Coronal Mass Ejections ◽  
Cross Correlation ◽  
Speed Distribution ◽  
Cross Correlation Analysis

Application of Pseudo-Random Test Signals and Cross Correlation to the Identification of Bulk Handling Plant Dynamic Characteristics

1973 ◽  
Vol 95 (1) ◽  
pp. 31-36 ◽  
Author(s):  
A. W. Roberts ◽  
W. H. Charlton
Keyword(s):  
Dynamic Characteristics ◽  
Cross Correlation ◽  
Natural Frequencies ◽  
Statistical Technique ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Grain Handling ◽  
Extraneous Noise ◽  
Cross Correlation Analysis

In the determination of the dynamic characteristics of bulk handling systems the complexity of the problem usually makes experimental identification necessary. Experimental techniques which are based on statistical methods are known to be more reliable than conventional methods such as frequency response analysis. A statistical technique that employs a pseudo-random binary coded signal (prbs) to perturbate the system followed by cross correlation analysis may be used very effectively to identify the dynamic characteristics of the system even in the presence of extraneous noise signals. This paper describes this technique and discusses its application to two areas in the bulk handling field; the first deals with the determination of the natural frequencies of screw conveyors used for grain handling and the second deals with the identification of the dynamic characteristics of grain discharge chutes.

scholarly journals Analysis of the transmembrane potential of embryos exposed to action of nickel, cobalt, tin and zinc

2018 ◽  
Vol 9 (2) ◽  
pp. 216-222
Author(s):  
G. V. Galyk ◽  
Z. Y. Fedorovych ◽  
E. I. Lychkovsky ◽  
D. I. Sanagursky
Keyword(s):  
Correlation Functions ◽  
Cross Correlation ◽  
Transmembrane Potential ◽  
Development Stage ◽  
Time Shift ◽  
Transmembrane Potentials ◽  
Nickel Cobalt ◽  
Cross Correlation Analysis ◽  
The Cross ◽  
Degree Of Similarity

Germ cells of aquatic organisms are complex systems whose growth and development depends on many factors, one of which is the composition of the aquatic environment. We used parameters in our analysis from aggregate data available from published literature. They are data of the transmembrane potential of the germinal cells of Misgurnus fossilis (Linnaeus, 1758) at the development stage from 180th to 360th minutes. Embryos were incubated in an environment with nickel, cobalt, tin, and zinc ions and without them. Plotted lines of the transmembrane potential were digitized and calibrated at intervals of 10 minutes. Rows of numerical values of the transmembrane potentials were obtained. These rows were used for calculation of autocorrelation and cross-cross-correlation functions. It was established that the transmembrane potential describes nonperiodic and quasi-periodic oscillations. The higher statistically significant values of the autocorrelation coefficients were observed in the first lags. Autocorrelation analysis indicates that the periods of oscillations of the transmembrane potential increase with the action of nickel, cobalt, tin and zinc on the germ. The phenomena and processes that occur in the germ cell are well reflected at the initial stages of the auto-correction and are lost when the magnitude of the lag increases. The degree of similarity of transmembrane potentials with the help of cross-correlation analysis is quantitatively characterized. The distribution of fluctuations of cross-correlation functions with complex dynamics, which arise with time shifts both in the forward and reverse directions, were established. It is established that for large values of time shifts, the cross-correlation coefficient is a low-informative indicator, since information about the influence of the factor on the living system is lost. A graph for a given time shift was constructed. The connection between the nodes is the magnitude of the cross-correlation coefficients between the vapor of the transmembrane potentials, which indicate the degree of similarity of the bioelectric processes. Graphs will be used for qualitative and quantitative study of system dynamics. The obtained results confirm the existence of a close relationship between environmental nickel, cobalt, tin, and zinc and the oscillation of transmembrane potential during early embryogenesis.

Audiogram Construction Using Frequency-Specific Auditory Brainstem Response (ABR) Thresholds

1995 ◽  
Vol 74 (10) ◽  
pp. 691-700 ◽  
Author(s):  
Mark A. Frattali ◽  
Robert Thayer Sataloff ◽  
Debra Hirshout ◽  
Caren Sokolow ◽  
James Hills ◽  
...  
Keyword(s):  
Accurate Determination ◽  
Broad Band ◽  
Hearing Threshold ◽  
Auditory Pathway ◽  
Auditory Brainstem ◽  
Hearing Sensitivity ◽  
Voluntary Response ◽  
Brainstem Response ◽  
Evoked Response Audiometry

Brainstem evoked response audiometry (ABR) permits auditory pathway assessment without the need for voluntary response. Brainstem responses are unaffected by attention, drugs, and most other confounding conditions. Consequently, if ABR could be used to determine hearing threshold in the speech frequencies, it would have great value for patients who are unable or unwilling to respond accurately during behavioral audiometric testing. Utilizing broad band clicks, one can only estimate hearing sensitivity in the frequency range of 2,000 to 4,000 Hz. This is inadequate for medical or legal purposes in which hearing in the speech frequencies must be assessed. Consequently, we have developed a modified ABR technique that permits a more accurate determination of hearing threshold at 500, 1,000, 2,000 and 3,000 Hz, as illustrated in tests on 27 normal ears. This technique has great potential value for neonatal and mentally handicapped populations, as well as for individuals involved in hearing loss litigation.

CROSS‐CORRELATION FILTERING

Geophysics ◽  
1954 ◽  
Vol 19 (4) ◽  
pp. 660-683 ◽  
Author(s):  
Hal J. Jones ◽  
John A. Morrison
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Power Spectra ◽  
Correlation Coefficients ◽  
Quantitative Measure ◽  
Additional Information ◽  
Analog Computing ◽  
Cross Correlation Analysis ◽  
Prediction Problems

Correlation analysis techniques may be applied to seismic data already subjected to standard recording and analysis procedure in an effort to extract additional information, or to raw data as an alternative filtering method. These techniques involve determination of certain parameters which provide a quantitative measure of the correlation between two sets of data. Among the most useful of these parameters are the auto‐ and cross‐correlation coefficients and functions long used by statisticians in time series analysis and recently applied to filtering and prediction problems in the field of communications. This paper discusses some applications of correlation analysis in interpretation of seismograms. The use of cross‐correlation analysis to identify weak reflections masked by high noise is illustrated for several problems. Equivalence of correlation analysis procedures to filtering operations is stressed. Special analog computing equipment facilitating computation of correlation coefficients and power spectra directly from oscillograms or graphs is described. A brief discussion of modern optimum filter theory is presented.

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