Analysis of time-series medical databases using multiscale structure matching and rough sets-based clustering technique

2002 ◽  
Author(s):  
S. Hirano ◽  
Xiaoguang Sun ◽  
S. Tsumoto
Keyword(s):  
Time Series ◽  
Rough Sets ◽  
Medical Databases ◽  
Clustering Technique ◽  
Multiscale Structure ◽  
Analysis Of Time Series

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

Spectral Analysis of Time Series with Rhythmic Structure

1999 ◽  
Vol 31 (1-3) ◽  
pp. 100-107
Author(s):  
I. N. Yavorskiy ◽  
I. Yu. Isaev
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Rhythmic Structure ◽  
Analysis Of Time Series

Comparative Analysis of Time Series Models for the Prediction of Conjunctivitis Disease

2020 ◽  
Author(s):  
Shobhit Verma ◽  
Nonita Sharma ◽  
Krishna Pal Sharma
Keyword(s):  
Time Series ◽  
Comparative Analysis ◽  
Time Series Models ◽  
Analysis Of Time Series

scholarly journals Interpretation of the Chemical and Physical Time-Series Retrieved from Sentik Glacier, Ladakh Himalaya, India

1984 ◽  
Vol 30 (104) ◽  
pp. 66-76 ◽  
Author(s):  
Paul A. Mayewski ◽  
W. Berry Lyons ◽  
N. Ahmad ◽  
Gordon Smith ◽  
M. Pourchet
Keyword(s):  
Time Series ◽  
Chemical Species ◽  
Data Sets ◽  
Reactive Iron ◽  
Physical Time ◽  
Ladakh Himalaya ◽  
Data Density ◽  
Mass Circulation ◽  
The Himalaya ◽  
Analysis Of Time Series

AbstractSpectral analysis of time series of a c. 17 ± 0.3 year core, calibrated for total ß activity recovered from Sentik Glacier (4908m) Ladakh, Himalaya, yields several recognizable periodicities including subannual, annual, and multi-annual. The time-series, include both chemical data (chloride, sodium, reactive iron, reactive silicate, reactive phosphate, ammonium, δD, δ(18O) and pH) and physical data (density, debris and ice-band locations, and microparticles in size grades 0.50 to 12.70 μm). Source areas for chemical species investigated and general air-mass circulation defined from chemical and physical time-series are discussed to demonstrate the potential of such studies in the development of paleometeorological data sets from remote high-alpine glacierized sites such as the Himalaya.

Mapping agroecological zones and time lag in vegetation growth by means of fourier analysis of time series of NDVI images

1993 ◽  
Vol 13 (5) ◽  
pp. 233-237 ◽  
Author(s):  
M. Menenti ◽  
S. Azzali ◽  
W. Verhoef ◽  
R. van Swol
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Time Lag ◽  
Vegetation Growth ◽  
Agroecological Zones ◽  
Analysis Of Time Series

Ruggedness measures of medical time series using fuzzy-rough sets and fractals

2006 ◽  
Vol 27 (5) ◽  
pp. 447-454 ◽  
Author(s):  
Manish Sarkar
Keyword(s):  
Time Series ◽  
Rough Sets ◽  
Fuzzy Rough Sets

scholarly journals A Time Series Clustering Technique based on Community Detection in Networks

2015 ◽  
Vol 53 ◽  
pp. 183-190 ◽  
Author(s):  
Leonardo N. Ferreira ◽  
Liang Zhao
Keyword(s):  
Time Series ◽  
Community Detection ◽  
Time Series Clustering ◽  
Clustering Technique

Analysis of Time Series Models for Brazilian Electricity Demand Forecasting

2021 ◽  
Author(s):  
Carlos Eduardo Velasquez Cabrera ◽  
Matheus Zocatelli ◽  
Fidellis B.G.L. e Estanislau ◽  
Victor Faria
Keyword(s):  
Time Series ◽  
Demand Forecasting ◽  
Electricity Demand ◽  
Time Series Models ◽  
Electricity Demand Forecasting ◽  
Analysis Of Time Series
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