Nonlinear analysis of electrodermal activity signals for healthy subjects and patients with chronic obstructive pulmonary disease

Nonlinear analysis of electrodermal activity signals for healthy subjects and patients with... It is known that signals recorded from physiological systems represent nonlinear features. Several recent studies report that quantitative information about signal complexity is obtained by using nonlinear analysis algorithms. Chronic obstructive pulmonary disease (COPD) is one of the causes of mortality worldwide with an increasing prevalence. This study aims to investigate nonlinear parameters such as largest Lyapunov exponent (LLE) and correlation dimension of electrodermal activity signals recorded from healthy subjects and patients with COPD. Electrodermal activity signals recorded from 14 healthy subjects and 24 patients with COPD were analysed. Auditory and tactile stimuli were applied at different time intervals during the recording process. Signals were reconstructed in the phase space compatible with theory and LLE and correlation dimension values were calculated. Statistical analysis was performed by using Shapiro–Wilk normality test, one-way analysis of variance (ANOVA) with Bonferroni post-test and Kruskal–Wallis non-parametric test. It was determined that the chaoticity and the complexity of the system increased in the presence of COPD. The systematic auditory stimuli increases chaoticity more than random auditory stimuli. Furthermore it was observed that participants develop habituation to the same auditory stimuli in time. There is no significant difference between COPD groups. Different results were found for the tactile stimuli applied to right or left ear. The results revealed that the nonlinear analysis of physiological data can be used for the development of new strategies for the diagnosis of chronic diseases. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Australasian Physical & Engineering Sciences in Medicine Springer Journals

Nonlinear analysis of electrodermal activity signals for healthy subjects and patients with chronic obstructive pulmonary disease

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Australasian College of Physical Scientists and Engineers in Medicine
Subject
Biomedicine; Biomedicine, general; Biological and Medical Physics, Biophysics; Medical and Radiation Physics; Biomedical Engineering
ISSN
0158-9938
eISSN
1879-5447
DOI
10.1007/s13246-018-0649-4
pmid
29774461
Publisher site
See Article on Publisher Site

Abstract

It is known that signals recorded from physiological systems represent nonlinear features. Several recent studies report that quantitative information about signal complexity is obtained by using nonlinear analysis algorithms. Chronic obstructive pulmonary disease (COPD) is one of the causes of mortality worldwide with an increasing prevalence. This study aims to investigate nonlinear parameters such as largest Lyapunov exponent (LLE) and correlation dimension of electrodermal activity signals recorded from healthy subjects and patients with COPD. Electrodermal activity signals recorded from 14 healthy subjects and 24 patients with COPD were analysed. Auditory and tactile stimuli were applied at different time intervals during the recording process. Signals were reconstructed in the phase space compatible with theory and LLE and correlation dimension values were calculated. Statistical analysis was performed by using Shapiro–Wilk normality test, one-way analysis of variance (ANOVA) with Bonferroni post-test and Kruskal–Wallis non-parametric test. It was determined that the chaoticity and the complexity of the system increased in the presence of COPD. The systematic auditory stimuli increases chaoticity more than random auditory stimuli. Furthermore it was observed that participants develop habituation to the same auditory stimuli in time. There is no significant difference between COPD groups. Different results were found for the tactile stimuli applied to right or left ear. The results revealed that the nonlinear analysis of physiological data can be used for the development of new strategies for the diagnosis of chronic diseases.

Journal

Australasian Physical & Engineering Sciences in Medicine – Springer Journals

Published: May 17, 2018

References

  • Chronic obstructive pulmonary disease 7: management of COPD
    MacNee, W; Calverley, PMA
  • Role of clinical questionnaires in optimizing everyday care of chronic obstructive pulmonary disease
    Jones, PW; Price, D; Molen, T
  • The correlation dimension: a useful objective measure of the transient visual evoked potential?
    Boon, MY; Henry, BI; Suttle, CM; Dain, SJ
  • Electrodermal complexity during the Stroop colour word test
    Svetlak, M; Bob, P; Cernik, M; Kukleta, M
  • Nonlinear dynamic complexity and sources of resting-state EEG in abstinent heroin addicts
    Zhao, Q; Jiang, H; Hu, B
  • Unstable footwear affects magnitude and structure of variability in postural control
    Buchecker, M; Wegenkittl, S; Stöggl, T
  • Linear and nonlinear analysis of normal and CAD-affected heart rate signals, Comput
    Acharya, UR; Faust, O; Sreec, V
  • Heart rate variability in multibacillar leprosy: linear and nonlinear analysis
    Santos, MCS; Silveira, LCL; Moura-Tonello, SCG
  • Nonlinear multiscale Maximal Lyapunov Exponent for accurate myoelectric signal classification
    Guo, Y; Naik, GR; Huang, S
  • Nonlinear analysis of coronary artery disease, myocardial infarction, and normal ECG signals
    Hagiwara, Y; Faust, O
  • Nonlinear EEG biomarker profiles for autism and absence epilepsy
    Bosl, WJ; Loddenkemper, T; Nelson, CA
  • Chaos in schizophrenia associations, reality or metaphor?
    Bob, P; Susta, M; Chladek, J
  • Autonomic dysfunction in patients with chronic obstructive pulmonary disease (COPD)
    Gestel, AJ; Steier, J
  • Elektrodermal aktivite
    Esen, F
  • Evaluation of clinical methods for rating dyspnea
    Mahler, DA; Wells, CK
  • The MRC breathlessness scale
    Stenton, C
  • Quality of life, symptoms and pulmonary function in asthma: long-term treatment with nedocromil sodium examined in a controlled multicentre trial. Nedocromil sodium quality of life study group
    Jones, PW
  • Electrodermal activity in nonmedicated hyperthyroid patients having no depressive symptoms
    Dolu, N; Süer, C; Özesmi, Ç
  • Extracting qualitative dynamics from experimental data
    Broomhead, DS; King, GP
  • Determining embedding dimension for phase-space reconstruction using a geometrical construction
    Kennel, MB; Brown, R; Abarbanel, HDI
  • Practical method for determining the minimum embedding dimension of a scalar time series
    Cao, L
  • Independent coordinates for strange attractors from mutual information
    Fraser, AM; Swinney, HL
  • The analysis of observed chaotic data in physical systems
    Abarbanel, HDI
  • Detection of signals in chaos
    Haykin, S; Li, XB
  • A practical method for calculating largest Lyapunov exponents from small data sets
    Rosenstein, MT; Collins, JJ; Luca, CJ
  • Nonlinear dynamics and chaos
    Strogatz, SH
  • Characterization of strange attractors
    Grassberger, P; Procaccia, I
  • Chaos and time-series analysis
    Sprott, JC
  • Nonlinear dynamics of electroencephalography study in schizophrenic patients
    Chen, X; Xu, Y; Tang, Y
  • Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals
    Diab, A; Hassan, M; Marque, C; Karlsson, B
  • Acute bronchodilation increases ventilatory complexity during resting breathing in stable COPD: toward mathematical biomarkers of ventilatory function?
    Teulier, M; Fiamma, MN; Straus, C; Similowski, T
  • Neural mechanisms underlying breathing complexity
    Hess, A; Lianchun, Y; Klein, I
  • Nonlinear EMG parameters for differential and early diagnostics of Parkinson’s disease
    Meigal, AY; Rissanen, SM; Tarvainen, MP
  • Analysis of the chaotic characteristics of human colonic activities and comparison of healthy participants to costive subjects
    Lu, L; Yan, G; Zhao, K; Xu, F
  • Electrodermal activity as a possible physiological marker for acupuncture
    Vickland, V; Rogers, C; Crang, A; Tran, Y

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