Feature generation using recurrence quantification analysis with application to fault classification

Fault Classification ◽

Feature Generation ◽

Recurrence Quantification Analysis of Stator-Current Measurements for Electric Motor Fault Classification

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2019.8927375 ◽

2019 ◽

Cited By ~ 1

Author(s):

Francesco Ferracuti ◽

Alessandro Freddi ◽

Sauro Longhi ◽

Andrea Monteriu

Keyword(s):

Electric Motor ◽

Fault Classification ◽

Stator Current ◽

The Dynamics of Infants' Interest in Female and Male Faces: A Recurrence Quantification Analysis

PsycEXTRA Dataset ◽

10.1037/e500122015-051 ◽

2014 ◽

Author(s):

A. J. Kayl ◽

J. L. Rennels

Keyword(s):

Recurrence Quantification Analysis of Sustained Sub-Maximal Grip Force in Patients with Glycogen Storage Disease Type III

7th IFAC Symposium on Modelling and Control in Biomedical Systems ◽

10.3182/20090812-3-dk-2006.00067 ◽

2009 ◽

Author(s):

Li, Ke

Keyword(s):

Glycogen Storage Disease ◽

Grip Force ◽

Storage Disease ◽

Glycogen Storage Disease Type ◽

Glycogen Storage ◽

Disease Type ◽

Type Iii ◽

Study of traditional Chinese medicine pulse signals in patients with coronary heart disease based on recurrence quantification analysis

Journal of Chinese Integrative Medicine ◽

10.3736/jcim20111111 ◽

2011 ◽

Vol 9 (11) ◽

pp. 1226-1233 ◽

Cited By ~ 4

Author(s):

R Guo

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Chinese Medicine ◽

Traditional Chinese Medicine ◽

IMU-Based Recurrence Quantification Analysis of the Signal Dampening Effect of a Thumb Protector in Deep Tendon Reflex Tests

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner49283.2021.9441186 ◽

2021 ◽

Author(s):

Gerald P. Otoide ◽

Blake A. Hoppe ◽

Nicole P. Ackley ◽

Richard Matovu ◽

Ariana Aliasso ◽

...

Keyword(s):

Deep Tendon Reflex ◽

Tendon Reflex ◽

Quantification Analysis ◽

Signal Dampening

2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) ◽

Recurrence Quantification Analysis based Emotion Detection in Parkinson’s disease using EEG Signals

10.1109/icccsp49186.2020.9315244 ◽

2020 ◽

Author(s):

M Murugappan ◽

Waleed B Alshuaib ◽

Ali Bourisly ◽

Sai Sruthi ◽

Ranjana R

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Emotion Detection ◽

Eeg Signals ◽

Age induced interactions between heart rate variability and systolic blood pressure variability using approximate entropy and recurrence quantification analysis: a multiscale cross correlation analysis

Physical and Engineering Sciences in Medicine ◽

10.1007/s13246-021-01000-7 ◽

2021 ◽

Author(s):

Vikramjit Singh ◽

Amit Gupta ◽

J. S. Sohal ◽

Amritpal Singh ◽

Surbhi Bakshi

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Blood Pressure Variability ◽

Cross Correlation ◽

Approximate Entropy ◽

Cross Correlation Analysis ◽

Systolic Blood Pressure Variability

Quantification Analysis ◽

Determining rhythmicity and determinism of temperature curves in septic and non-septic critically ill patients through chronobiological and recurrence quantification analysis: a pilot study

Intensive Care Medicine Experimental ◽

10.1186/s40635-019-0267-9 ◽

2019 ◽

Vol 7 (1) ◽

Cited By ~ 2

Author(s):

Vasilios E. Papaioannou ◽

Eleni N. Sertaridou ◽

Ioanna G. Chouvarda ◽

George C. Kolios ◽

Ioannis N. Pneumatikos

Keyword(s):

Pilot Study ◽

Critically Ill ◽

Critically Ill Patients ◽

Recurrence quantification analysis of force signals to assess neuromuscular fatigue in men and women

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102593 ◽

2021 ◽

Vol 68 ◽

pp. 102593

Author(s):

Cyril Chatain ◽

Sofiane Ramdani ◽

Jean-Marc Vallier ◽

Mathieu Gruet

Keyword(s):

Neuromuscular Fatigue ◽

Men And Women ◽

Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals

Medical Engineering & Physics ◽

10.1016/s1350-4533(01)00112-6 ◽

2002 ◽

Vol 24 (1) ◽

pp. 53-60 ◽

Cited By ~ 177

Author(s):

Joseph P. Zbilut ◽

Nitza Thomasson ◽

Charles L. Webber

Keyword(s):

Quantification Analysis ◽

Cardiac Signals