Multiscale Poincaré Plots Analysis of Nystagmus Amplitude Variability During Rotation on Bárány Chair

2020 ◽  
pp. 857-867
Author(s):  
Petr Volf ◽  
Jan Hejda ◽  
Patrik Kutílek ◽  
Jakub Kondelík ◽  
Andrea Mitriková ◽  
...  
Keyword(s):  
Amplitude Variability

scholarly journals Multivariable Fuzzy Measure Entropy Analysis for Heart Rate Variability and Heart Sound Amplitude Variability

Entropy ◽  
2016 ◽  
Vol 18 (12) ◽  
pp. 430 ◽  
Author(s):  
Lina Zhao ◽  
Shoushui Wei ◽  
Hong Tang ◽  
Chengyu Liu
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Sound ◽  
Fuzzy Measure ◽  
Entropy Analysis ◽  
Amplitude Variability ◽  
Measure Entropy

Variable Radio Sources at 843 MHz

1994 ◽  
Vol 11 (1) ◽  
pp. 33-38 ◽  
Author(s):  
D. Campbell-Wilson ◽  
R. W. Hunstead
Keyword(s):  
Interstellar Medium ◽  
Flux Density ◽  
Large Amplitude ◽  
Preliminary Report ◽  
Radio Sources ◽  
Amplitude Variability ◽  
Variable Radio

AbstractThis paper is a preliminary report on the flux density monitoring of calibration sources used at the Molonglo Observatory Synthesis Telescope. We show two examples of large amplitude variability at 843 MHz which we attribute to refractive scintillation in the Galactic interstellar medium.

Latency and amplitude variability in serial median nerve SEP recordings

1999 ◽  
Vol 110 (9) ◽  
pp. 1664-1668 ◽  
Author(s):  
B.J Connemann ◽  
J Koehler ◽  
S Presser ◽  
H.C Hopf
Keyword(s):  
Median Nerve ◽  
Amplitude Variability

scholarly journals Normal limits of side-to-side H-reflex amplitude variability

1994 ◽  
Vol 75 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Ward R. Jankus ◽  
Lawrence R. Robinson ◽  
James W. Little
Keyword(s):  
H Reflex ◽  
Reflex Amplitude ◽  
Amplitude Variability ◽  
Normal Limits

scholarly journals Close Frequency Pairs in Delta Scuti Stars

2002 ◽  
Vol 185 ◽  
pp. 326-327
Author(s):  
K.M. Bischof ◽  
M. Breger
Keyword(s):  
Phase Shift ◽  
Power Spectra ◽  
Phase Changes ◽  
Single Frequency ◽  
Sufficient Data ◽  
Amplitude Variability ◽  
Pulsation Mode ◽  
Delta Scuti ◽  
Close Frequency ◽  
Scuti Stars

AbstractThe power spectra of several δ Scuti stars show close peaks with similar frequencies and amplitudes. Apart from possible observational problems, this can be interpreted in terms of two separate pulsation modes with similar, close frequencies or an artifact of amplitude variability of a single pulsation mode. If sufficient data are available, it is possible to distinguish between the two hypotheses on the basis of expected systematic phase changes associated with the amplitude variations of an assumed single frequency. This phase-shift test has been applied to modes found for BI CMi. In this paper we present the evidence for one of the close frequency pairs found in this star.

scholarly journals GRMHD Simulations of Visibility Amplitude Variability for Event Horizon Telescope Images of Sgr A*

2018 ◽  
Vol 856 (2) ◽  
pp. 163 ◽  
Author(s):  
Lia Medeiros ◽  
Chi-kwan Chan ◽  
Feryal Özel ◽  
Dimitrios Psaltis ◽  
Junhan Kim ◽  
...  
Keyword(s):  
Event Horizon ◽  
Amplitude Variability ◽  
Sgr A

scholarly journals Subtle Oculomotor Difficulties and Their Relation to Motor Skill in Children with Autism Spectrum Disorder

2020 ◽  
Author(s):  
Emma Sumner ◽  
Samuel B. Hutton ◽  
Elisabeth L. Hill
Keyword(s):  
Smooth Pursuit ◽  
Motor Skill ◽  
Visual Information ◽  
Autism Spectrum ◽  
Oculomotor Control ◽  
Future Research ◽  
Saccade Amplitude ◽  
Amplitude Variability ◽  
Children With Asd ◽  
Fixation Stability

Abstract Objectives Sensorimotor difficulties are often reported in autism spectrum disorders (ASD). Visual and motor skills are linked in that the processing of visual information can help in guiding motor movements. The present study investigated oculomotor skill and its relation to general motor skill in ASD by providing a comprehensive assessment of oculomotor control. Methods Fifty children (25 ASD; 25 typically developing [TD]), aged 7–10 years, completed a motor assessment (comprising fine and gross motor tasks) and oculomotor battery (comprising fixation, smooth pursuit, prosaccade and antisaccade tasks). Results No group differences were found for antisaccade errors, nor saccade latencies in prosaccade and antisaccade tasks, but increased saccade amplitude variability was observed in children with ASD, suggesting a reduced consistency in saccade accuracy. Children with ASD also demonstrated poorer fixation stability than their peers and spent less time in pursuit of a moving target. Motor skill was not correlated with saccade amplitude variability. However, regression analyses revealed that motor skill (and not diagnosis) accounted for variance in fixation performance and fast smooth pursuit. Conclusions The findings highlight the importance of considering oculomotor paradigms to inform the functional impact of neuropathologies in ASD and also assessing the presentation of co-occurring difficulties to further our understanding of ASD. Avenues for future research are suggested.

scholarly journals New WET Observations of the δ Scuti Star CD-24 7599: amplitude variability and discovery of 13 pulsation modes

1995 ◽  
Vol 155 ◽  
pp. 331-332
Author(s):  
G. Handler ◽  
D. O’Donoghue ◽  
D. A. H. Buckley ◽  
O. Giovannini ◽  
S. O. Kepler ◽  
...  
Keyword(s):  
Linear Combination ◽  
Mode Coupling ◽  
Power Spectra ◽  
Resonant Mode ◽  
High Quality ◽  
Amplitude Variability ◽  
Spectroscopic Observations ◽  
Scuti Star ◽  
Combination Frequencies ◽  
Whole Earth

The variability of CD-24 7599 (V=11.48 mag) was discovered by JCC during observing run XCOV7 of the Whole Earth Telescope (WET, Nather et al. 1990) network in February, 1992. The star was observed as an additional target and 117 hours of high-quality temporal spectroscopic observations were obtained.Our analysis of these data revealed the presence of 7 independent pulsation modes between 27.0 and 38.1 cycles per day (313 – 441 μHz) with semiamplitudes of 2.1 – 10.2 milli-modulation amplitudes (mma). We showed that peaks at linear combination frequencies detected in the power spectra were not due to eigenmodes excited to visible amplitude by resonant mode coupling.

scholarly journals Non-linear complex principal component analysis of nearshore bathymetry

2005 ◽  
Vol 12 (5) ◽  
pp. 661-670 ◽  
Author(s):  
S. S. P. Rattan ◽  
B. G. Ruessink ◽  
W. W. Hsieh
Keyword(s):  
Principal Component Analysis ◽  
Data Structure ◽  
Linear Method ◽  
Principal Component ◽  
Component Analysis ◽  
Dimensional Structure ◽  
Linear Phase ◽  
Linear Complex ◽  
Amplitude Variability ◽  
Non Linear

Abstract. Complex principal component analysis (CPCA) is a useful linear method for dimensionality reduction of data sets characterized by propagating patterns, where the CPCA modes are linear functions of the complex principal component (CPC), consisting of an amplitude and a phase. The use of non-linear methods, such as the neural-network based circular non-linear principal component analysis (NLPCA.cir) and the recently developed non-linear complex principal component analysis (NLCPCA), may provide a more accurate description of data in case the lower-dimensional structure is non-linear. NLPCA.cir extracts non-linear phase information without amplitude variability, while NLCPCA is capable of extracting both. NLCPCA can thus be viewed as a non-linear generalization of CPCA. In this article, NLCPCA is applied to bathymetry data from the sandy barred beaches at Egmond aan Zee (Netherlands), the Hasaki coast (Japan) and Duck (North Carolina, USA) to examine how effective this new method is in comparison to CPCA and NLPCA.cir in representing propagating phenomena. At Duck, the underlying low-dimensional data structure is found to have linear phase and amplitude variability only and, accordingly, CPCA performs as well as NLCPCA. At Egmond, the reduced data structure contains non-linear spatial patterns (asymmetric bar/trough shapes) without much temporal amplitude variability and, consequently, is about equally well modelled by NLCPCA and NLPCA.cir. Finally, at Hasaki, the data structure displays not only non-linear spatial variability but also considerably temporal amplitude variability, and NLCPCA outperforms both CPCA and NLPCA.cir. Because it is difficult to know the structure of data in advance as to which one of the three models should be used, the generalized NLCPCA model can be used in each situation.

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