Coupling Analysis of Beta Rhythm Electroencephalogram Based on the Multiscale Mutual Mode Entropy

2014 ◽  
Vol 595 ◽  
pp. 295-300
Author(s):  
Ning Ji ◽  
Jun Tan ◽  
An Shan Pei ◽  
Jia Fei Dai ◽  
Jun Wang
Keyword(s):  
Time Series ◽  
Clinical Evaluation ◽  
Brain Function ◽  
Physiological Status ◽  
Middle Aged ◽  
Coupling Analysis ◽  
Beta Rhythm ◽  
Scale Change ◽  
The Future ◽  
The Difference

This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two beta rhythm EEG time series which are simultaneously acquired. The results show that in the process of scale change, the young and middle-aged differ from each other in terms of the coupling degree of beta rhythm EEG and the difference grow clear gradually from 4th scale. So the Multiscale Mutual Mode Entropy can be used to analyze the coupling information of time series under different physiological status. Besides, as an indicator of measuring brain function, in the future it can also come to the aid of clinical evaluation of brain function.

Multiscale Mutual Mode Entropy Based Coupling Analysis of Alpha Rhythm Electroencephalogram

2014 ◽  
Vol 574 ◽  
pp. 718-722
Author(s):  
Ning Ji ◽  
Jun Tan ◽  
An Shan Pei ◽  
Jia Fei Dai ◽  
Jun Wang
Keyword(s):  
Time Series ◽  
Clinical Evaluation ◽  
Brain Function ◽  
Alpha Rhythm ◽  
Physiological Status ◽  
Noise Resistance ◽  
Middle Aged ◽  
Coupling Analysis ◽  
Scale Change ◽  
The Difference

This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two alpha rhythm EEG time series which are simultaneously acquired. The results show that in the process of scale change, the young and middle-aged differ from each other in terms of the coupling degree of alpha rhythm EEG and the difference grow clear gradually. So the Multiscale Mutual Mode Entropy can be used to analyze the coupling information of time series under different physiological status, and it also has good noise resistance. Besides, as an indicator of measuring brain function, in the future it can also come to the aid of clinical evaluation of brain function.

Coupling Analysis of Electroencephalogram Based on Mutual Mode Entropy

2014 ◽  
Vol 884-885 ◽  
pp. 415-418 ◽  
Author(s):  
Ning Ji ◽  
Jia Fei Dai ◽  
Jun Wang
Keyword(s):  
Time Series ◽  
Hypothesis Testing ◽  
Clinical Evaluation ◽  
Brain Function ◽  
Brain State ◽  
Coupling Analysis ◽  
Beta Rhythm ◽  
Simultaneous Acquisition ◽  
Parameter Measuring ◽  
Degree Of Coupling

This paper presents a mutual mode entropy algorithm to quantify the degree of coupling between two simultaneous acquisition of beta rhythm EEG time series. Applying the algorithm to calculate beta rhythm EEG and hypothesis testing, the results show that coupling degree was significantly different between different physiological states which indicating that mutual mode entropy can be used to analyze the coupling between the time series. The mutual mode entropy also can be parameter measuring brain state which can be applied to assist future clinical evaluation of brain function.

Coupling Analysis of Electroencephalogram Based on the Multiscale Mutual Mode Entropy

2014 ◽  
Vol 529 ◽  
pp. 670-674
Author(s):  
Ning Ji ◽  
Jun Tan ◽  
An Shan Pei ◽  
Jia Fei Dai ◽  
Jun Wang
Keyword(s):  
Time Series ◽  
Electrical Signal ◽  
Noise Resistance ◽  
Middle Aged ◽  
Coupling Analysis ◽  
Aged People ◽  
Scale Change ◽  
Change Trend

This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two simultaneous acquisitions of EEG time series on different scales. It discusses the young and middle-aged people’s characteristics of brain electrical signal based on the algorithm. The results show that they both have the similar change trend of entropy value and middle-aged people have higher entropy value than the young from 6th scale gradually. Mutual Mode Entropy also has good noise resistance in the process of scale change and can distinguish the coupling difference of EEG between the two types of people.

scholarly journals The SPARC water vapour assessment II: Comparison of stratospheric and lower mesospheric water vapour time series observed from satellites

2018 ◽  
Author(s):  
Farahnaz Khosrawi ◽  
Stefan Lossow ◽  
Gabriele P. Stiller ◽  
Karen H. Rosenlof ◽  
Joachim Urban ◽  
...  
Keyword(s):  
Time Series ◽  
Water Vapour ◽  
Data Sets ◽  
Data Set ◽  
The Future ◽  
Modelling Studies ◽  
The Difference ◽  
The Tropics ◽  
The Antarctic ◽  
Satellite Instruments

Abstract. Time series of stratospheric and lower mesospheric water vapour using 33 data sets from 15 different satellite instruments were compared in the framework of the second SPARC (Stratosphere-troposphere Processes And their Role in Climate) water vapour assessment (WAVAS-II). This comparison aimed to provide a comprehensive overview of the typical uncertainties in the observational database that can be considered in the future in observational and modelling studies addressing e.g stratospheric water vapour trends. The time series comparisons are presented for the three latitude bands, the Antarctic (80°–70° S), the tropics (15° S–15° N) and the northern hemisphere mid-latitudes (50° N–60° N) at four different altitudes (0.1, 3, 10 and 80 hPa) covering the stratosphere and lower mesosphere. The combined temporal coverage of observations from the 15 satellite instruments allowed considering the time period 1986–2014. In addition to the qualitative comparison of the time series, the agreement of the data sets is assessed quantitatively in the form of the spread (i.e. the difference between the maximum and minimum volume mixing ratio among the data sets), the (Pearson) correlation coefficient and the drift (i.e. linear changes of the difference between time series over time). Generally, good agreement between the time series was found in the middle stratosphere while larger differences were found in the lower mesosphere and near the tropopause. Concerning the latitude bands, the largest differences were found in the Antarctic while the best agreement was found for the tropics. From our assessment we find that all data sets can be considered in the future in observational and modelling studies addressing e.g. stratospheric and lower mesospheric water vapour variability and trends when data set specific characteristics (e.g. a drift) and restrictions (e.g. temporal and spatial coverage) are taken into account.

scholarly journals Using Moving Averages To Pave The Neutrosophic Time Series

2020 ◽  
pp. 14-20
Author(s):  
Rafif* * ◽  
◽  
◽  
A. A. Salama
Keyword(s):  
Time Series ◽  
Accurate Description ◽  
Moving Averages ◽  
Inaccurate Data ◽  
The Future ◽  
The Difference ◽  
Range Of Values ◽  
Better Than

In this paper, were using moving averages to pave the Neutrosophic time series. similar to use moving averages to pave the classical time series. the difference, here were dealing with inaccurate data and values of the time series.in the Neutrosophic time series, each unit of time(t) corresponds to a range of values instead of a single value. Finally, we find that the Neutrosophic time series provide an accurate description of the behavior of the series better than in the classic. Therefore, can predict the future of the series as accurately as possible.

LEARNING THE RULE OF A TIME SERIES

1992 ◽  
Vol 03 (02) ◽  
pp. 167-177 ◽  
Author(s):  
I. Ginzberg ◽  
D. Horn
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Random Noise ◽  
Noise Amplitude ◽  
Quadratic Map ◽  
Correct Rule ◽  
The Future ◽  
Sunspot Data ◽  
Long Time ◽  
The Difference

Neural networks can be trained to predict the next value of a time series on the basis of its preceding values. We try to find out how well such a network approximates the rule which underlies the series. For this purpose, we study the net-sequence, which is a long time series generated iteratively by the network. We introduce a new measure: the difference between the distributions of function values in the data and the net-sequence. We demonstrate its usefulness on the problem of the chaotic quadratic map. Adding random noise to the series we find, by using this tool, that the networks can approximate well the correct rule only if the noise amplitude is very small. Applying the new measure as a weak constraint in the problem of sunspot data, we see that it correlates well with the ability of the network to predict several time steps into the future.

SCCMI Algorithm for Coupling Analysis of Multi-Lead Epileptic EEG Signals

2013 ◽  
Vol 373-375 ◽  
pp. 681-684
Author(s):  
Chao Cui ◽  
Ting Ting Han ◽  
Meng Qiu Gao ◽  
Wei Lu ◽  
Chao Zou ◽  
...  
Keyword(s):  
Time Series ◽  
Mutual Information ◽  
Large Scale ◽  
Time Sequence ◽  
Eeg Signals ◽  
Coupling Analysis ◽  
Noise Effect ◽  
Code Algorithm ◽  
Symbolic Code ◽  
The Difference

Symbolic-code condition mutual information (SCCMI) algorithm is proposed,which can detect coupling between several systems.SCCMI combines condition mutual information with symbolic-code algorithm. Condition mutual information entropy is used to finding coupling degree between time series .The meaning of symbolic-code algorithm is to retention large scale information of time sequence, whats more ,reduce noise effect. SCCMI algorithm is used to analyze difference of coupling between epileptic EEG signals and normal ones .Hypothesis testing was done by SPSS.It turns out that the difference between epileptic EEG signals and normal ones is significant.SCCMI algorithm is proved to be effective. And coupling degree can be used as a parameter to measure if brain is healthy.

EVALUASI PROYEKSI DEMAND BARANG DAN PENUMPANG PELABUHAN DI PROVINSI MALUKU

2019 ◽  
Vol 19 (2) ◽  
pp. 101-110
Author(s):  
Adrian Firdaus ◽  
M. Dwi Yoga Sutanto ◽  
Rajin Sihombing ◽  
M. Weldy Hermawan
Keyword(s):  
Time Series ◽  
Projection Method ◽  
Development Plan ◽  
Master Plan ◽  
Port Development ◽  
Loading And Unloading ◽  
The Difference ◽  
Existing Data

Abstract Every port in Indonesia must have a Port Master Plan that contains an integrated port development plan. This study discusses one important aspect in the preparation of the Port Master Plan, namely the projected movement of goods and passengers, which can be used as a reference in determining the need for facilities at each stage of port development. The case study was conducted at a port located in a district in Maluku Province and aims to evaluate the analysis of projected demand for goods and passengers occurring at the port. The projection method used is time series and econometric projection. The projection results are then compared with the existing data in 2018. The results of this study show that the econometric projection gives adequate results in predicting loading and unloading activities as well as the number of passenger arrival and departure in 2018. This is indicated by the difference in the percentage of projection results towards the existing data, which is smaller than 10%. Whereas for loading and unloading activities, time series projections with logarithmic trends give better results than econometric projections. Keywords: port, port master plan, port development, unloading activities  Abstrak Setiap pelabuhan di Indonesia harus memiliki sebuah Rencana Induk Pelabuhan yang memuat rencana pengem-bangan pelabuhan secara terpadu. Studi ini membahas salah satu aspek penting dalam penyusunan Rencana Induk Pelabuhan, yaitu proyeksi pergerakan barang dan penumpang, yang dapat dipakai sebagai acuan dalam penentuan kebutuhan fasilitas di setiap tahap pengembangan pelabuhan. Studi kasus dilakukan pada sebuah pelabuhan yang terletak di sebuah kabupaten di Provinsi Maluku dan bertujuan untuk melakukan evaluasi ter-hadap analisis proyeksi demand barang dan penumpang yang terjadi di pelabuhan tersebut. Metode proyeksi yang dipakai adalah proyeksi deret waktu dan ekonometrik. Hasil proyeksi selanjutnya dibandingkan dengan data eksisting tahun 2018. Hasil studi ini menunjukkan bahwa proyeksi ekonometrik memberikan hasil yang cukup baik dalam memprediksi aktivitas bongkar barang serta jumlah penumpang naik dan turun di tahun 2018. Hal ini diindikasikan dengan selisih persentase hasil proyeksi terhadap data eksisting yang lebih kecil dari 10%. Sedangkan untuk aktivitas muat barang, proyeksi deret waktu dengan tren logaritmik memberikan hasil yang lebih baik daripada proyeksi ekonometrik. Kata-kata kunci: pelabuhan, rencana induk pelabuhan, pengembangan pelauhan, aktivitas bongkar barang

Smart Estimation Ver-H.1.0

2018 ◽  
Author(s):  
Sigit Haryadi
Keyword(s):  
Sample Size ◽  
Confidence Level ◽  
Time Span ◽  
Regression Equation ◽  
Weight Factor ◽  
The Past ◽  
Level Of Confidence ◽  
The Future ◽  
Future Value ◽  
The Difference

We cannot be sure exactly what will happen, we can only estimate by using a particular method, where each method must have the formula to create a regression equation and a formula to calculate the confidence level of the estimated value. This paper conveys a method of estimating the future values, in which the formula for creating a regression equation is based on the assumption that the future value will depend on the difference of the past values divided by a weight factor which corresponding to the time span to the present, and the formula for calculating the level of confidence is to use "the Haryadi Index". The advantage of this method is to remain accurate regardless of the sample size and may ignore the past value that is considered irrelevant.

Characteristics of Asian Mosquito Saliva Allergens for Specific Diagnoses and Effective Therapies

2020 ◽  
Vol 21 (2) ◽  
pp. 153-158 ◽  
Author(s):  
Soung-Hoo Jeon
Keyword(s):  
Allergic Reaction ◽  
East Asia ◽  
East Asian ◽  
Diagnosis And Treatment ◽  
Recombinant Allergens ◽  
Systemic Reactions ◽  
The Future ◽  
Mosquito Saliva ◽  
The Difference ◽  
Future Direction

An allergic reaction to mosquitoes can result in severe or abnormal local or systemic reactions such as anaphylaxis, angioedema, and general urticarial or wheezing. The aim of this review is to provide information on mosquito saliva allergens that can support the production of highly specific recombinant saliva allergens. In particular, candidate allergens of mosquitoes that are well suited to the ecology of mosquitoes that occur mainly in East Asia will be identified and introduced. By doing so, the diagnosis and treatment of patients with severe sensitivity to mosquito allergy will be improved by predicting the characteristics of East Asian mosquito allergy, presenting the future direction of production of recombinant allergens, and understanding the difference between East and West.

Sign in / Sign up

Export Citation Format

Share Document