scholarly journals A Novel Technique for ECG Morphology Interpretation and Arrhythmia Detection Based on Time Series Signal Extracted from Scanned ECG Record

10.5772/21785 ◽  
2012 ◽  
Author(s):  
Srinivasan Jayaraman ◽  
Prashanth Swamy ◽  
Vani Damodaran ◽  
N. Venkatesh
Keyword(s):  
Time Series ◽  
Arrhythmia Detection ◽  
Novel Technique ◽  
Ecg Morphology

EMD: A novel technique for the study of tremor time series

2007 ◽  
pp. 992-996
Author(s):  
Eduardo Rocon de Lima ◽  
A. O. Andrade ◽  
J. L. Pons ◽  
P- Kyberd ◽  
S. J. Nasuto
Keyword(s):  
Time Series ◽  
Novel Technique

Empirical mode decomposition: a novel technique for the study of tremor time series

2006 ◽  
Vol 44 (7) ◽  
pp. 569-582 ◽  
Author(s):  
Eduardo Rocon de Lima ◽  
Adriano O. Andrade ◽  
José Luis Pons ◽  
Peter Kyberd ◽  
Slawomir J. Nasuto
Keyword(s):  
Time Series ◽  
Empirical Mode Decomposition ◽  
Novel Technique ◽  
Mode Decomposition

scholarly journals k-Gaps: a novel technique for clustering incomplete climatological time series

2020 ◽  
Vol 143 (1-2) ◽  
pp. 447-460
Author(s):  
Leopoldo Carro-Calvo ◽  
Fernando Jaume-Santero ◽  
Ricardo García-Herrera ◽  
Sancho Salcedo-Sanz
Keyword(s):  
Time Series ◽  
Incomplete Information ◽  
Extreme Events ◽  
Climate Information ◽  
Climate Trends ◽  
New Approach ◽  
Clustering Technique ◽  
Novel Technique ◽  
Synthetic Datasets

AbstractIn this paper, we show a new clustering technique (k-gaps) aiming to generate a robust regionalization using sparse climate datasets with incomplete information in space and time. Hence, this method provides a new approach to cluster time series of different temporal lengths, using most of the information contained in heterogeneous sets of climate records that, otherwise, would be eliminated during data homogenization procedures. The robustness of the method has been validated with different synthetic datasets, demonstrating that k-gaps performs well with sample-starved datasets and missing climate information for at least 55% of the study period. We show that the algorithm is able to generate a climatically consistent regionalization based on temperature observations similar to those obtained with complete time series, outperforming other clustering methodologies developed to work with fragmentary information. k-Gaps clusters can therefore provide a useful framework for the study of long-term climate trends and the detection of past extreme events at regional scales.

scholarly journals Tectonic process monitoring by variations of the geomagnetic field absolute intensity

1997 ◽  
Vol 40 (2) ◽  
Author(s):  
D. B. Avdeev ◽  
A. V. Kuvshinov ◽  
O. V. Pankratov
Keyword(s):  
Time Series ◽  
Process Monitoring ◽  
Geomagnetic Field ◽  
Reference Site ◽  
Transfer Functions ◽  
Absolute Intensity ◽  
Novel Technique ◽  
Tectonic Process ◽  
Tectonic Processes ◽  
Measured Time

We propose a novel technique for tectonic process monitoring. The technique includes: measurements of absolute intensity variations, at network sites, synchronously with measurements of horizontal geomagnetic field variations at a reference site; spectral analysis of measured time series and construction non-conventional transfer functions and interpretation of the transfer functions constructed in order to detect or/and to forecast the tectonic processes. Using numerical modelling we show the sensitivity of transfer functions obtained with respect to the temporal changes in the Earth's resistivity associated with tectonic processes. We also demonstrate that the components of the geomagnetic field are reconstructed in terms of spatial distribution of absolute intensity variations.

Quantification of Determinism in Music Using Iterated Function Systems

1997 ◽  
Vol 15 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Brian Meloon ◽  
Julien C. Sprott
Keyword(s):  
Dynamical System ◽  
Time Series ◽  
Time Series Analysis ◽  
Chaos Theory ◽  
Iterated Function System ◽  
Iterated Function Systems ◽  
Function System ◽  
Control Data ◽  
Novel Technique ◽  
Iterated Function

This article proposes a novel technique for exhibiting and quantifying the determinism in music. A written score of music is modeled as a dynamical system employing an iterated function system to generate a picture from the music. This picture is then analyzed using methods of chaos theory and time-series analysis to quantify the determinism. Comparisons with random and chaotic control data and with some algorithmic compositions are made. The method might be useful for cataloging different musical styles or perhaps even testing authenticity of musical compositions.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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