Simpler methods do it better: Success of Recurrence Quantification Analysis as a general purpose data analysis tool

2009 ◽  
Vol 373 (41) ◽  
pp. 3753-3756 ◽  
Author(s):  
Charles L. Webber ◽  
Norbert Marwan ◽  
Angelo Facchini ◽  
Alessandro Giuliani
Keyword(s):  
Data Analysis ◽  
General Purpose ◽  
Recurrence Quantification Analysis ◽  
Analysis Tool ◽  
Recurrence Quantification ◽  
Quantification Analysis ◽  
Data Analysis Tool

scholarly journals Recurrence Quantification Analysis of Postural Stability with Pendant-Based IMU under Varying Balance Conditions

2020 ◽  
Vol 9 (1) ◽  
pp. 243-247
Author(s):  
Shubo Lyu ◽  
Hui Yang ◽  
Stephen J. Piazza ◽  
Danielle Symons Downs ◽  
Andris Freivalds
Keyword(s):  
Data Analysis ◽  
Postural Stability ◽  
Center Of Mass ◽  
Recurrence Quantification Analysis ◽  
Dynamic Features ◽  
Research Areas ◽  
Lower Back ◽  
Populations At Risk ◽  
Recurrence Quantification ◽  
Quantification Analysis

Recurrence quantification analysis (RQA) has been widely implemented as a nonlinear data analysis method in multiple research areas and has shown good potential for the study of human postural stability. Dynamic features identified by RQA may be useful for characterizing balance disorders using inertial measurement units (IMUs) placed on the lower back near the body’s center of mass. However, wearing IMU sensors may be challenging for some specific populations at risk for falling such as pregnant women due to discomfort and lack of fit. A novel pendant-based IMU sensor was proposed and shown to have good sensitivity to postural instability in different standing tasks, when compared with the sensor worn on the lower back with a waist belt. This study’s objective is to evaluate the sensitivity of the pendant sensor to balance perturbations using RQA-the nonstationary method. Six RQA measurements (%recurrence, %deterministic, linemax, entropy, %laminarity, trapping time) were extracted for data analysis. The objective of this research is to validate whether the pendant-based sensor can distinguish different balance conditions as well as or better than a sensor on a waist belt using RQA measurements.

scholarly journals HOW TO AVOID POTENTIAL PITFALLS IN RECURRENCE PLOT BASED DATA ANALYSIS

2011 ◽  
Vol 21 (04) ◽  
pp. 1003-1017 ◽  
Author(s):  
NORBERT MARWAN
Keyword(s):  
Data Analysis ◽  
Recurrence Plot ◽  
Recurrence Quantification Analysis ◽  
The Other ◽  
Recurrence Plots ◽  
Deep Foundation ◽  
Recurrence Quantification ◽  
Potential Problems ◽  
Quantification Analysis ◽  
The One

Recurrence plots and recurrence quantification analysis have become popular in the last two decades. Recurrence based methods have on the one hand a deep foundation in the theory of dynamical systems and are on the other hand powerful tools for the investigation of a variety of problems. The increasing interest encompasses the growing risk of misuse and uncritical application of these methods. Therefore, we point out potential problems and pitfalls related to different aspects of the application of recurrence plots and recurrence quantification analysis.

PENGARUH INOVASI DAN ORIENTASI KEWIRAUSAHAAN TERHADAP KEUNGGULAN BERSAING UMKM KULINER

2019 ◽  
Vol 4 (1) ◽  
pp. 111-118
Author(s):  
Inda Lestari ◽  
Miguna Astuti ◽  
Hariyanto Ridwan
Keyword(s):  
Data Analysis ◽  
Competitive Advantage ◽  
Significant Influence ◽  
Entrepreneurial Orientation ◽  
Sampling Method ◽  
Sampling Technique ◽  
Analysis Tool ◽  
Data Analysis Tool

This research was conducted to analyze the effect of innovation orientation and entrepreneurship on the competitive advantage of culinary MSMEs in the Cilandak Barat area, South Jakarta. The population used for this study was 36 actors in the culinary field of SMEC. The sampling technique uses a saturated sampling method. The data analysis tool used is PLS 3.0. The results of this study indicate that the innovation variable has a significant influence on the culinary competitiveness of SMEC. And, entrepreneurial orientation has a significant influence on the culinary competitiveness of SMEC. The researcher suggests SMECs to pay attention to other factors that can influence competitive advantage. Keywords: Innovation, Entrepreneurship Orientation, Competitive Advantage

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