Exploring the nature of Parkinsonian rest tremor and the effects of common treatments on it: Stochastic process or chaotic behavior?
•Parkinsonian rest tremor results in an involuntary oscillating movement with variable amplitude and frequency.•The nature of rest tremor is somehow complicated and also the effects of the treatments remained obscure.•The main objective of this study is to determine the dynamic characteristic of the...
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Published in | Biomedical signal processing and control Vol. 61; p. 102040 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.08.2020
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ISSN | 1746-8094 |
DOI | 10.1016/j.bspc.2020.102040 |
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Abstract | •Parkinsonian rest tremor results in an involuntary oscillating movement with variable amplitude and frequency.•The nature of rest tremor is somehow complicated and also the effects of the treatments remained obscure.•The main objective of this study is to determine the dynamic characteristic of the Parkinsonian tremor using nonlinear analyses.•A combination of stochastic, periodic and chaotic dynamics is intrinsically present in tremor dynamic.•Effective treatments weaken the chaotic dynamic, and therefore, the stochastic behavior becomes more dominant.
Parkinsonian rest tremor results in an involuntary oscillating movement with variable amplitude and frequency. The nature of rest tremor is somehow complicated and also the effects of the treatments remained obscure.
The main objective of this study is to determine the dynamic characteristic of the Parkinsonian tremor using nonlinear data processing tools including phase space reconstruction, Delay Vector Variance (DVV), delta-epsilon analysis, Higuchi fractal dimension (HFD) and approximate entropy (ApEn).
DVV and delta-epsilon analyses illustrate that tremor behavior is more similar to chaotic systems. Effective treatment alters its behavior toward stochastic processes. Based on the analysis, the value of the HFD for untreated tremor is around 1.7 and effective treatments reduces the value to about 1.1. In addition, ApEn of tremor signals is around 1.3 and by effective treatment it dips to 0.7. What is more, results of statistical tests for HFD and ApEn reveals that effective treatments lead to significant differences in the dynamical behavior of tremor in subjects with high amplitude (p < 0.05).
To sum up, a combination of stochastic, periodic and chaotic dynamics is intrinsically present in tremor dynamic and as the severity of the disease increases, chaotic dynamics strengthen. Effective treatments weaken the chaotic dynamic, and therefore, the stochastic behavior becomes more noticeable and dominant. These results can be useful for tracking the disease progress and determining an appropriate dose of a drug for each patient. Moreover, our findings could lead to the development of a new tremor relief closed loop mechanism based on chaos to stochastic ratio. |
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AbstractList | •Parkinsonian rest tremor results in an involuntary oscillating movement with variable amplitude and frequency.•The nature of rest tremor is somehow complicated and also the effects of the treatments remained obscure.•The main objective of this study is to determine the dynamic characteristic of the Parkinsonian tremor using nonlinear analyses.•A combination of stochastic, periodic and chaotic dynamics is intrinsically present in tremor dynamic.•Effective treatments weaken the chaotic dynamic, and therefore, the stochastic behavior becomes more dominant.
Parkinsonian rest tremor results in an involuntary oscillating movement with variable amplitude and frequency. The nature of rest tremor is somehow complicated and also the effects of the treatments remained obscure.
The main objective of this study is to determine the dynamic characteristic of the Parkinsonian tremor using nonlinear data processing tools including phase space reconstruction, Delay Vector Variance (DVV), delta-epsilon analysis, Higuchi fractal dimension (HFD) and approximate entropy (ApEn).
DVV and delta-epsilon analyses illustrate that tremor behavior is more similar to chaotic systems. Effective treatment alters its behavior toward stochastic processes. Based on the analysis, the value of the HFD for untreated tremor is around 1.7 and effective treatments reduces the value to about 1.1. In addition, ApEn of tremor signals is around 1.3 and by effective treatment it dips to 0.7. What is more, results of statistical tests for HFD and ApEn reveals that effective treatments lead to significant differences in the dynamical behavior of tremor in subjects with high amplitude (p < 0.05).
To sum up, a combination of stochastic, periodic and chaotic dynamics is intrinsically present in tremor dynamic and as the severity of the disease increases, chaotic dynamics strengthen. Effective treatments weaken the chaotic dynamic, and therefore, the stochastic behavior becomes more noticeable and dominant. These results can be useful for tracking the disease progress and determining an appropriate dose of a drug for each patient. Moreover, our findings could lead to the development of a new tremor relief closed loop mechanism based on chaos to stochastic ratio. |
ArticleNumber | 102040 |
Author | Sarbaz, Yashar Pourakbari, Hakimeh |
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Cites_doi | 10.1088/0967-3334/33/3/395 10.1016/0167-2789(94)90224-0 10.1093/brain/awh237 10.1016/j.procs.2010.12.035 10.1063/1.166082 10.1371/journal.pone.0085787 10.1016/S0301-0082(99)00067-2 10.1073/pnas.88.6.2297 10.1016/j.jtbi.2005.03.014 10.1142/S0219519413500309 10.1016/j.physa.2006.01.077 10.1142/S0219519411004691 10.1007/s13246-011-0111-3 10.1103/PhysRevA.28.2591 10.1016/j.physd.2003.11.001 10.1016/j.jtbi.2012.04.032 10.1017/S1472928801000206 10.1016/j.clinph.2015.11.016 10.1186/1743-0003-2-24 10.1371/journal.pone.0041598 10.1016/S1388-2457(01)00593-4 10.1016/S1388-2457(00)00467-3 10.3389/fneur.2013.00135 10.1006/brcg.1995.1261 10.1016/j.humov.2009.07.008 10.1063/1.166494 10.1111/j.1542-474X.2007.00151.x 10.1115/1.2486008 10.1016/j.neulet.2011.10.002 10.1063/1.1408257 10.1007/s11517-015-1401-9 |
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References | Kaplan (bib0150) 1994; 73 Factor, Weiner (bib0015) 2007 Gautama, Mandic, Van Hulle (bib0145) 2004; 190 Gangadhar, Joseph, Srinivasan, Subramanian, Shivakeshavan, Shobana, Chakravarthy (bib0035) 2009; 28 Sarbaz, Towhidkhah, Jafari, Gharibzadeh (bib0075) 2012; 307 Shah (bib0180) 2005 West, Latka (bib0030) 2005; 2 Timmer, Häußler, Lauk, Lücking (bib0080) 2000; 10 Dovzhenok, Rubchinsky (bib0200) 2012; 7 Titcombe, Glass, Guehl, Beuter (bib0020) 2001; 11 Kantz, Schreiber (bib0135) 2004; vol. 7 Yulmetyev, Demin, Panischev, Hänggi, Timashev, Vstovsky (bib0190) 2006; 369 SadeghiRazlighi, Jafari, Firoozabadi, Shahidi (bib0085) 2012; 35 Gautama (bib0140) 2003 Meigal, Rissanen, Tarvainen, Airaksinen, Kankaanpaa, Karjalainen (bib0110) 2013; 4 Blandini, Nappi, Tassorelli, Martignoni (bib0005) 2000; 62 Kolmogorov (bib0160) 1958; 119 Krstacic, Krstacic, Smalcelj, Milicic, Jembrek‐Gostovic (bib0195) 2007; 12 Sarbaz, Towhidkhah, Mosavari, Janani, Soltanzadeh (bib0060) 2013; 13 Beuter, Vasilakos (bib0070) 1995; 5 Esposito, Faundez-Zanuy, Esposito, Cordasco, Drugman, Solé-Casals, Morabito (bib0155) 2016 Merrikh-Bayat (bib0115) 2011; 3 Sarbaz, Banaie, Pooyan, Gharibzadeh, Towhidkhah, Jafari (bib0040) 2012; 509 Kirchner, Schubert, Liebherr, Haas (bib0120) 2014; 9 Vaillancourt, Newell (bib0090) 2000; 111 Meigal, Rissanen, Tarvainen, Georgiadis, Karjalainen, Airaksinen, Kankaanpää (bib0105) 2012; 33 Kurz, Stergiou (bib0205) 2007; 129 Iosa, Morone, Fusco, Marchetti, Caltagirone, Paolucci, Peppe (bib0125) 2016; 127 Gil, Nunes, Silva, Faria, Melo (bib0185) 2010 Vaillancourt, Slifkin, Newell (bib0095) 2001; 112 Sturman, Vaillancourt, Metman, Bakay, Corcos (bib0100) 2004; 127 Aziz, Arif (bib0055) 2006 Sarbaz, Towhidkhah, Gharibzadeh, Jafari (bib0065) 2012; 12 Takens (bib0170) 1982 Sarbaz, Pourakbari (bib0025) 2016; 54 Haeri, Sarbaz, Gharibzadeh (bib0045) 2005; 236 Beuter, Titcombe, Richer, Gross, Guehl (bib0130) 2001; 1 Grassberger, Procaccia (bib0165) 1983; 28 Pincus (bib0175) 1991; 88 Cornford, Chang, Miller (bib0010) 1995; 28 Sarbaz, Gharibzadeh, Towhidkhah, Banaie, Jafari (bib0050) 2011; 2 Sarbaz (10.1016/j.bspc.2020.102040_bib0040) 2012; 509 Esposito (10.1016/j.bspc.2020.102040_bib0155) 2016 Gangadhar (10.1016/j.bspc.2020.102040_bib0035) 2009; 28 Aziz (10.1016/j.bspc.2020.102040_bib0055) 2006 Sturman (10.1016/j.bspc.2020.102040_bib0100) 2004; 127 Meigal (10.1016/j.bspc.2020.102040_bib0105) 2012; 33 Titcombe (10.1016/j.bspc.2020.102040_bib0020) 2001; 11 Sarbaz (10.1016/j.bspc.2020.102040_bib0060) 2013; 13 Krstacic (10.1016/j.bspc.2020.102040_bib0195) 2007; 12 Dovzhenok (10.1016/j.bspc.2020.102040_bib0200) 2012; 7 Yulmetyev (10.1016/j.bspc.2020.102040_bib0190) 2006; 369 Sarbaz (10.1016/j.bspc.2020.102040_bib0065) 2012; 12 SadeghiRazlighi (10.1016/j.bspc.2020.102040_bib0085) 2012; 35 Vaillancourt (10.1016/j.bspc.2020.102040_bib0090) 2000; 111 Merrikh-Bayat (10.1016/j.bspc.2020.102040_bib0115) 2011; 3 Iosa (10.1016/j.bspc.2020.102040_bib0125) 2016; 127 Kurz (10.1016/j.bspc.2020.102040_bib0205) 2007; 129 West (10.1016/j.bspc.2020.102040_bib0030) 2005; 2 Beuter (10.1016/j.bspc.2020.102040_bib0070) 1995; 5 Gil (10.1016/j.bspc.2020.102040_bib0185) 2010 Takens (10.1016/j.bspc.2020.102040_bib0170) 1982 Factor (10.1016/j.bspc.2020.102040_bib0015) 2007 Kirchner (10.1016/j.bspc.2020.102040_bib0120) 2014; 9 Blandini (10.1016/j.bspc.2020.102040_bib0005) 2000; 62 Shah (10.1016/j.bspc.2020.102040_bib0180) 2005 Cornford (10.1016/j.bspc.2020.102040_bib0010) 1995; 28 Sarbaz (10.1016/j.bspc.2020.102040_bib0025) 2016; 54 Sarbaz (10.1016/j.bspc.2020.102040_bib0075) 2012; 307 Vaillancourt (10.1016/j.bspc.2020.102040_bib0095) 2001; 112 Grassberger (10.1016/j.bspc.2020.102040_bib0165) 1983; 28 Sarbaz (10.1016/j.bspc.2020.102040_bib0050) 2011; 2 Kantz (10.1016/j.bspc.2020.102040_bib0135) 2004; vol. 7 Haeri (10.1016/j.bspc.2020.102040_bib0045) 2005; 236 Gautama (10.1016/j.bspc.2020.102040_bib0140) 2003 Meigal (10.1016/j.bspc.2020.102040_bib0110) 2013; 4 Timmer (10.1016/j.bspc.2020.102040_bib0080) 2000; 10 Beuter (10.1016/j.bspc.2020.102040_bib0130) 2001; 1 Gautama (10.1016/j.bspc.2020.102040_bib0145) 2004; 190 Pincus (10.1016/j.bspc.2020.102040_bib0175) 1991; 88 Kaplan (10.1016/j.bspc.2020.102040_bib0150) 1994; 73 Kolmogorov (10.1016/j.bspc.2020.102040_bib0160) 1958; 119 |
References_xml | – volume: 236 start-page: 311 year: 2005 end-page: 322 ident: bib0045 article-title: Modeling the Parkinson’s tremor and its treatments publication-title: J. Theor. Biol. – volume: 369 start-page: 655 year: 2006 end-page: 678 ident: bib0190 article-title: Regular and stochastic behavior of Parkinsonian pathological tremor signals publication-title: Phys. A Stat. Mech. Appl. – volume: 112 start-page: 1594 year: 2001 end-page: 1603 ident: bib0095 article-title: Regularity of force tremor in Parkinson’s disease publication-title: Clin. Neurophysiol. – start-page: 2786 year: 2010 end-page: 2789 ident: bib0185 article-title: Analysis of human tremor in patients with Parkinson disease using entropy measures of signal complexity publication-title: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology – volume: 35 start-page: 25 year: 2012 end-page: 30 ident: bib0085 article-title: Study of chaotic behavior of tremor of some Parkinsonians under deep brain stimulation publication-title: Australas. Phys. Eng. Sci. Med. – volume: 2 start-page: 24 year: 2005 ident: bib0030 article-title: Fractional Langevin model of gait variability publication-title: J. Neuroeng. Rehabil. – volume: 13 start-page: 1350030 year: 2013 ident: bib0060 article-title: Separating Parkinsonian patients from normal persons using handwriting features publication-title: J. Mech. Med. Biol. – volume: vol. 7 year: 2004 ident: bib0135 publication-title: Nonlinear Time Series Analysis – volume: 28 start-page: 321 year: 1995 end-page: 341 ident: bib0010 article-title: The neuropathology of Parkinsonism-an overview publication-title: Brain Cogn. – volume: 88 start-page: 2297 year: 1991 end-page: 2301 ident: bib0175 article-title: Approximate entropy as a measure of system complexity publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 10 start-page: 278 year: 2000 end-page: 288 ident: bib0080 article-title: Pathological tremors: deterministic chaos or nonlinear stochastic oscillators? publication-title: Chaos Interdiscip. J. Nonlinear Sci. – volume: 2 start-page: 33 year: 2011 end-page: 42 ident: bib0050 article-title: A gray-box neural network model of Parkinson’s disease using gait signal publication-title: Basic Clin. Neurosci. – year: 2005 ident: bib0180 article-title: Quantification of Regularity in RR-interval Time Series Using Approximate Entropy, Sample Entropy, and Multi-scale Entropy – volume: 7 start-page: e41598 year: 2012 ident: bib0200 article-title: On the origin of tremor in Parkinson’s disease publication-title: PLoS One – year: 1982 ident: bib0170 article-title: Mechanical and Gradient Systems; Local Perturbations and Generic Properties – volume: 28 start-page: 602 year: 2009 end-page: 618 ident: bib0035 article-title: A computational model of Parkinsonian handwriting that highlights the role of the indirect pathway in the basal ganglia publication-title: Hum. Mov. Sci. – volume: 28 start-page: 2591 year: 1983 ident: bib0165 article-title: Estimation of the Kolmogorov entropy from a chaotic signal publication-title: Phys. Rev. A – volume: 5 start-page: 35 year: 1995 end-page: 42 ident: bib0070 article-title: Tremor: is Parkinson’s disease a dynamical disease? publication-title: Chaos Interdiscip. J. Nonlinear Sci. – volume: 12 start-page: 1250041 year: 2012 ident: bib0065 article-title: Gait Spectral analysis: an easy fast quantitative method for diagnosing Parkinson’s disease publication-title: J. Mech. Med. Biol. – year: 2003 ident: bib0140 article-title: Motion Processing in Macaque Middle Temporal Area: Computational Principles, Models and Data Analysis (No. 280) – volume: 307 start-page: 160 year: 2012 end-page: 167 ident: bib0075 article-title: Do the chaotic features of gait change in Parkinson’s disease? publication-title: J. Theor. Biol. – volume: 12 start-page: 130 year: 2007 end-page: 136 ident: bib0195 article-title: The chaos theory and nonlinear dynamics in heart rate variability analysis: does it work in short‐time series in patients with coronary heart disease? publication-title: Ann. Noninvasive Electrocardiol. – year: 2007 ident: bib0015 article-title: Parkinson’s Disease: Diagnosis & Clinical Management – volume: 54 start-page: 855 year: 2016 end-page: 868 ident: bib0025 article-title: A review of presented mathematical models in Parkinson’s disease: black-and gray-box models publication-title: Med. Biol. Eng. Comput. – volume: 62 start-page: 63 year: 2000 end-page: 88 ident: bib0005 article-title: Functional changes of the basal ganglia circuitry in Parkinson’s disease publication-title: Prog. Neurobiol. – volume: 33 start-page: 395 year: 2012 ident: bib0105 article-title: Linear and nonlinear tremor acceleration characteristics in patients with Parkinson’s disease publication-title: Physiol. Meas. – volume: 111 start-page: 2046 year: 2000 end-page: 2056 ident: bib0090 article-title: The dynamics of resting and postural tremor in Parkinson’s disease publication-title: Clin. Neurophysiol. – volume: 3 start-page: 210 year: 2011 end-page: 215 ident: bib0115 article-title: Time series analysis of Parkinson’s disease, Huntington’s disease and amyotrophic lateral sclerosis publication-title: Procedia Comput. Sci. – volume: 9 start-page: e85787 year: 2014 ident: bib0120 article-title: Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson’s disease: stitching together short gait trials publication-title: PLoS One – start-page: 5 year: 2016 end-page: 11 ident: bib0155 article-title: Recent advances in nonlinear speech processing: directions and challenges publication-title: Recent Advances in Nonlinear Speech Processing – volume: 190 start-page: 167 year: 2004 end-page: 176 ident: bib0145 article-title: The delay vector variance method for detecting determinism and nonlinearity in time series publication-title: Physica D: Nonlinear Phenomena – volume: 11 start-page: 766 year: 2001 end-page: 773 ident: bib0020 article-title: Dynamics of Parkinsonian tremor during deep brain stimulation publication-title: Chaos Interdiscip. J. Nonlinear Sci. – volume: 127 start-page: 2131 year: 2004 end-page: 2143 ident: bib0100 article-title: Effects of subthalamic nucleus stimulation and medication on resting and postural tremor in Parkinson’s disease publication-title: Brain – volume: 73 start-page: 38 year: 1994 end-page: 48 ident: bib0150 article-title: Exceptional events as evidence for determinism publication-title: Physica D: Nonlinear Phenomena – volume: 119 start-page: 861 year: 1958 end-page: 864 ident: bib0160 article-title: A new metric invariant of transient dynamical systems and automorphisms in Lebesgue spaces publication-title: Dokl. Akad. Nauk. – volume: 127 start-page: 1540 year: 2016 end-page: 1546 ident: bib0125 article-title: Loss of fractal gait harmony in Parkinson’s disease publication-title: Clin. Neurophysiol. – volume: 509 start-page: 72 year: 2012 end-page: 75 ident: bib0040 article-title: Modeling the gait of normal and Parkinsonian persons for improving the diagnosis publication-title: Neurosci. Lett. – volume: 1 start-page: 203 year: 2001 end-page: 211 ident: bib0130 article-title: Effect of deep brain stimulation on amplitude and frequency characteristics of rest tremor in Parkinson’s disease publication-title: Thalamus Relat. Syst. – start-page: 765 year: 2006 end-page: 770 ident: bib0055 article-title: Genetically optimized hybrid gait dynamics classifier publication-title: 2006 International Conference on Emerging Technologies – volume: 129 start-page: 216 year: 2007 end-page: 222 ident: bib0205 article-title: Hip actuations can be used to control bifurcations and chaos in a passive dynamic walking model publication-title: J. Biomech. Eng. – volume: 4 start-page: 135 year: 2013 ident: bib0110 article-title: Non-linear EMG parameters for differential and early diagnostics of Parkinson’s disease publication-title: Front. Neurol. – volume: vol. 7 year: 2004 ident: 10.1016/j.bspc.2020.102040_bib0135 – year: 2007 ident: 10.1016/j.bspc.2020.102040_bib0015 – volume: 33 start-page: 395 issue: 3 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0105 article-title: Linear and nonlinear tremor acceleration characteristics in patients with Parkinson’s disease publication-title: Physiol. Meas. doi: 10.1088/0967-3334/33/3/395 – volume: 73 start-page: 38 issue: 1-2 year: 1994 ident: 10.1016/j.bspc.2020.102040_bib0150 article-title: Exceptional events as evidence for determinism publication-title: Physica D: Nonlinear Phenomena doi: 10.1016/0167-2789(94)90224-0 – volume: 127 start-page: 2131 issue: 9 year: 2004 ident: 10.1016/j.bspc.2020.102040_bib0100 article-title: Effects of subthalamic nucleus stimulation and medication on resting and postural tremor in Parkinson’s disease publication-title: Brain doi: 10.1093/brain/awh237 – volume: 3 start-page: 210 year: 2011 ident: 10.1016/j.bspc.2020.102040_bib0115 article-title: Time series analysis of Parkinson’s disease, Huntington’s disease and amyotrophic lateral sclerosis publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2010.12.035 – year: 2003 ident: 10.1016/j.bspc.2020.102040_bib0140 – year: 1982 ident: 10.1016/j.bspc.2020.102040_bib0170 – volume: 5 start-page: 35 issue: 1 year: 1995 ident: 10.1016/j.bspc.2020.102040_bib0070 article-title: Tremor: is Parkinson’s disease a dynamical disease? publication-title: Chaos Interdiscip. J. Nonlinear Sci. doi: 10.1063/1.166082 – volume: 9 start-page: e85787 issue: 1 year: 2014 ident: 10.1016/j.bspc.2020.102040_bib0120 article-title: Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson’s disease: stitching together short gait trials publication-title: PLoS One doi: 10.1371/journal.pone.0085787 – year: 2005 ident: 10.1016/j.bspc.2020.102040_bib0180 – volume: 62 start-page: 63 issue: 1 year: 2000 ident: 10.1016/j.bspc.2020.102040_bib0005 article-title: Functional changes of the basal ganglia circuitry in Parkinson’s disease publication-title: Prog. Neurobiol. doi: 10.1016/S0301-0082(99)00067-2 – volume: 88 start-page: 2297 issue: 6 year: 1991 ident: 10.1016/j.bspc.2020.102040_bib0175 article-title: Approximate entropy as a measure of system complexity publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.88.6.2297 – volume: 236 start-page: 311 issue: 3 year: 2005 ident: 10.1016/j.bspc.2020.102040_bib0045 article-title: Modeling the Parkinson’s tremor and its treatments publication-title: J. Theor. Biol. doi: 10.1016/j.jtbi.2005.03.014 – volume: 13 start-page: 1350030 issue: 03 year: 2013 ident: 10.1016/j.bspc.2020.102040_bib0060 article-title: Separating Parkinsonian patients from normal persons using handwriting features publication-title: J. Mech. Med. Biol. doi: 10.1142/S0219519413500309 – volume: 369 start-page: 655 issue: 2 year: 2006 ident: 10.1016/j.bspc.2020.102040_bib0190 article-title: Regular and stochastic behavior of Parkinsonian pathological tremor signals publication-title: Phys. A Stat. Mech. Appl. doi: 10.1016/j.physa.2006.01.077 – volume: 12 start-page: 1250041 issue: 03 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0065 article-title: Gait Spectral analysis: an easy fast quantitative method for diagnosing Parkinson’s disease publication-title: J. Mech. Med. Biol. doi: 10.1142/S0219519411004691 – volume: 2 start-page: 33 issue: 3 year: 2011 ident: 10.1016/j.bspc.2020.102040_bib0050 article-title: A gray-box neural network model of Parkinson’s disease using gait signal publication-title: Basic Clin. Neurosci. – volume: 35 start-page: 25 issue: 1 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0085 article-title: Study of chaotic behavior of tremor of some Parkinsonians under deep brain stimulation publication-title: Australas. Phys. Eng. Sci. Med. doi: 10.1007/s13246-011-0111-3 – volume: 28 start-page: 2591 issue: 4 year: 1983 ident: 10.1016/j.bspc.2020.102040_bib0165 article-title: Estimation of the Kolmogorov entropy from a chaotic signal publication-title: Phys. Rev. A doi: 10.1103/PhysRevA.28.2591 – volume: 190 start-page: 167 issue: 3-4 year: 2004 ident: 10.1016/j.bspc.2020.102040_bib0145 article-title: The delay vector variance method for detecting determinism and nonlinearity in time series publication-title: Physica D: Nonlinear Phenomena doi: 10.1016/j.physd.2003.11.001 – volume: 307 start-page: 160 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0075 article-title: Do the chaotic features of gait change in Parkinson’s disease? publication-title: J. Theor. Biol. doi: 10.1016/j.jtbi.2012.04.032 – volume: 1 start-page: 203 issue: 3 year: 2001 ident: 10.1016/j.bspc.2020.102040_bib0130 article-title: Effect of deep brain stimulation on amplitude and frequency characteristics of rest tremor in Parkinson’s disease publication-title: Thalamus Relat. Syst. doi: 10.1017/S1472928801000206 – start-page: 765 year: 2006 ident: 10.1016/j.bspc.2020.102040_bib0055 article-title: Genetically optimized hybrid gait dynamics classifier – volume: 127 start-page: 1540 issue: 2 year: 2016 ident: 10.1016/j.bspc.2020.102040_bib0125 article-title: Loss of fractal gait harmony in Parkinson’s disease publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2015.11.016 – volume: 2 start-page: 24 issue: 1 year: 2005 ident: 10.1016/j.bspc.2020.102040_bib0030 article-title: Fractional Langevin model of gait variability publication-title: J. Neuroeng. Rehabil. doi: 10.1186/1743-0003-2-24 – volume: 7 start-page: e41598 issue: 7 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0200 article-title: On the origin of tremor in Parkinson’s disease publication-title: PLoS One doi: 10.1371/journal.pone.0041598 – volume: 119 start-page: 861 issue: 5 year: 1958 ident: 10.1016/j.bspc.2020.102040_bib0160 article-title: A new metric invariant of transient dynamical systems and automorphisms in Lebesgue spaces publication-title: Dokl. Akad. Nauk. – volume: 112 start-page: 1594 issue: 9 year: 2001 ident: 10.1016/j.bspc.2020.102040_bib0095 article-title: Regularity of force tremor in Parkinson’s disease publication-title: Clin. Neurophysiol. doi: 10.1016/S1388-2457(01)00593-4 – volume: 111 start-page: 2046 issue: 11 year: 2000 ident: 10.1016/j.bspc.2020.102040_bib0090 article-title: The dynamics of resting and postural tremor in Parkinson’s disease publication-title: Clin. Neurophysiol. doi: 10.1016/S1388-2457(00)00467-3 – volume: 4 start-page: 135 year: 2013 ident: 10.1016/j.bspc.2020.102040_bib0110 article-title: Non-linear EMG parameters for differential and early diagnostics of Parkinson’s disease publication-title: Front. Neurol. doi: 10.3389/fneur.2013.00135 – volume: 28 start-page: 321 issue: 3 year: 1995 ident: 10.1016/j.bspc.2020.102040_bib0010 article-title: The neuropathology of Parkinsonism-an overview publication-title: Brain Cogn. doi: 10.1006/brcg.1995.1261 – start-page: 2786 year: 2010 ident: 10.1016/j.bspc.2020.102040_bib0185 article-title: Analysis of human tremor in patients with Parkinson disease using entropy measures of signal complexity – volume: 28 start-page: 602 issue: 5 year: 2009 ident: 10.1016/j.bspc.2020.102040_bib0035 article-title: A computational model of Parkinsonian handwriting that highlights the role of the indirect pathway in the basal ganglia publication-title: Hum. Mov. Sci. doi: 10.1016/j.humov.2009.07.008 – volume: 10 start-page: 278 issue: 1 year: 2000 ident: 10.1016/j.bspc.2020.102040_bib0080 article-title: Pathological tremors: deterministic chaos or nonlinear stochastic oscillators? publication-title: Chaos Interdiscip. J. Nonlinear Sci. doi: 10.1063/1.166494 – start-page: 5 year: 2016 ident: 10.1016/j.bspc.2020.102040_bib0155 article-title: Recent advances in nonlinear speech processing: directions and challenges – volume: 12 start-page: 130 issue: 2 year: 2007 ident: 10.1016/j.bspc.2020.102040_bib0195 article-title: The chaos theory and nonlinear dynamics in heart rate variability analysis: does it work in short‐time series in patients with coronary heart disease? publication-title: Ann. Noninvasive Electrocardiol. doi: 10.1111/j.1542-474X.2007.00151.x – volume: 129 start-page: 216 issue: 2 year: 2007 ident: 10.1016/j.bspc.2020.102040_bib0205 article-title: Hip actuations can be used to control bifurcations and chaos in a passive dynamic walking model publication-title: J. Biomech. Eng. doi: 10.1115/1.2486008 – volume: 509 start-page: 72 issue: 2 year: 2012 ident: 10.1016/j.bspc.2020.102040_bib0040 article-title: Modeling the gait of normal and Parkinsonian persons for improving the diagnosis publication-title: Neurosci. Lett. doi: 10.1016/j.neulet.2011.10.002 – volume: 11 start-page: 766 issue: 4 year: 2001 ident: 10.1016/j.bspc.2020.102040_bib0020 article-title: Dynamics of Parkinsonian tremor during deep brain stimulation publication-title: Chaos Interdiscip. J. Nonlinear Sci. doi: 10.1063/1.1408257 – volume: 54 start-page: 855 issue: 6 year: 2016 ident: 10.1016/j.bspc.2020.102040_bib0025 article-title: A review of presented mathematical models in Parkinson’s disease: black-and gray-box models publication-title: Med. Biol. Eng. Comput. doi: 10.1007/s11517-015-1401-9 |
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Title | Exploring the nature of Parkinsonian rest tremor and the effects of common treatments on it: Stochastic process or chaotic behavior? |
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