Calculating Turns/Amplitude peak ratio of EMG interference pattern by using logistic curve fitting

2021 ◽  
pp. 102610
Author(s):  
Christos Moschovos ◽  
ApostoliaGhika ◽  
Andreas Kyrozis
Keyword(s):  
Interference Pattern ◽  
Curve Fitting ◽  
Peak Ratio ◽  
Logistic Curve

Nonsymmetrical double logistic analysis of ambulatory blood pressure recordings

2005 ◽  
Vol 98 (4) ◽  
pp. 1511-1518 ◽  
Author(s):  
Geoffrey A. Head ◽  
Christopher M. Reid ◽  
Elena V. Lukoshkova
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Arterial Pressure ◽  
Curve Fitting ◽  
Animal Studies ◽  
Similar Rate ◽  
Rate Of Change ◽  
Logistic Curve ◽  
Fitting Procedure ◽  
Logistic Method

We developed an asymmetric double logistic curve-fitting procedure for circadian analysis that can determine the rate of change in variables during the day-to-night separately from the night-to-day transition for use in animal studies. We now have applied this procedure to 24-h systolic (SAP) and diastolic arterial pressure (DAP) and heart rate ambulatory recordings from 302 patients. In 292 cases, all parameters showed a pattern of higher day and lower night values. In men there was a similar rate of transition between day and night or from night to day for both SAP and DAP that lasted 3–4 h, indicating a symmetrical diurnal pattern. By contrast, women showed a faster rate of decrease in mean arterial pressure in the evening compared with men ( P < 0.05) and therefore showed an asymmetric diurnal SAP pattern. For both men and women, there was a markedly greater rate of morning increase in heart rate compared with the rate of evening decrease (2.2- and 1.9-fold, respectively, P < 0.001). The logistic method provided a better fit than the square-wave or the cosinor method ( P < 0.001) and more appropriately detected nondippers. We conclude that analysis of ambulatory recordings by a new logistic curve-fitting method reveals more rapid reductions in evening SAP in women than men but both have two- to threefold more rapid morning rates of tachycardia. The ability of the double logistic method to determine the diurnal blood pressure rates of change independently is key to determining new markers for cardiovascular risk.

Application of Curve Model Fitting Methods to Settlement Prediction

2014 ◽  
Vol 580-583 ◽  
pp. 651-654
Author(s):  
Ming Wu ◽  
Jia Lun Niu
Keyword(s):  
Curve Fitting ◽  
Model Fitting ◽  
Hyperbolic Model ◽  
Industrial Zone ◽  
Logistic Curve ◽  
Settlement Prediction ◽  
Curve Model ◽  
Simulation Results ◽  
Logistic Curve Model

Both Hyperbolic model and Logistic curve model have certain applicability to settlement prediction of soft sub-grade. Based on the observational settlement data of soft sub-grade in an industrial zone, the features of Hyperbolic model and Logistic curve model are studied. By using curve fitting methods with Origin software to predict the sub-grade settlement value and analyze the simulation results, compare these two models to determine which one is more reasonable. The results show that the Logistic curve model is more accurate and reasonable, it has the value of popularization and application in engineering.

Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique

2014 ◽  
Vol 8 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Tomomi Takenaga ◽  
Shigehiko Katsuragawa ◽  
Makoto Goto ◽  
Masahiro Hatemura ◽  
Yoshikazu Uchiyama ◽  
...  
Keyword(s):  
Transfer Function ◽  
Curve Fitting ◽  
Modulation Transfer Function ◽  
Ct Images ◽  
Modulation Transfer ◽  
Logistic Curve ◽  
Function Measurement ◽  
Edge Method

Research of Curve-Fitting on RIA Dosage Reaction

2011 ◽  
Vol 135-136 ◽  
pp. 747-752
Author(s):  
Yan Chu ◽  
Hai Guang Wang ◽  
Chun Hua Deng ◽  
Yan Shao
Keyword(s):  
Curve Fitting ◽  
Function Method ◽  
Spline Function ◽  
Standard Sample ◽  
Logistic Curve ◽  
Transform Method ◽  
Fitting Method ◽  
Curve Method ◽  
The Difference ◽  
The Ideal

This article, aiming at the problem of simulating a RIA (radioimmunoassay analysis) curve by function, analyzes the difference among four common fitting methods used to solve it. The methods include Log-Logit transform method, 3/2-time equation method, Spline function method and four-parameter Logistic curve method. We Make comparisons of different fitting methods by using FM-200 series gamma immune counter test a same set of standard sample and get a conclusion that four-parameter Logistic fitting method is the ideal one.

scholarly journals Electric Energy Substitution Potential Prediction Based on Logistic Curve Fitting and Improved BP Neural Network Algorithm

2019 ◽  
Vol 25 (3) ◽  
pp. 18-24 ◽  
Author(s):  
Yujun Liu ◽  
Cheng Hu ◽  
Yi Hong
Keyword(s):  
Neural Network ◽  
Influencing Factors ◽  
Curve Fitting ◽  
Bp Neural Network ◽  
Electric Energy ◽  
Logistic Curve ◽  
Energy Substitution ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
The Impact

In order to predict the potential of electric energy substitution in the next decade in China, this paper proposes a prediction method based on Logistic curve fitting and improved BP neural network algorithm. The amount of electric energy substitution is defined to quantify the potential of electric energy substitution. Then the important influencing factors of electric energy substitution based on the Impact by Population, Affluence and Technology (IPAT) model are established and quantified. For different influencing factors, logistic curve fitting and polynomial function fitting method were used to estimate the data fitting. A two-node output layer model of BP neural network is established and improved with additional momentum factors and adaptive learning rate to learn and train the data related to electric energy substitution from 2003 to 2017, and calculate the amount of electric energy substitution which are substitution potential from 2018 to 2020, 2025 and 2030. The calculation results show that the method has higher computational accuracy and fewer iterations. The prediction results are reasonable and effective, which can be the reference of the research of energy substitution.

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