dorsal/arxiv
View SchemaStratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients
| Authors | Renat Yulmetyev, Sergey Demin, Natalya Emelyanova, Fail Gafarov, Peter Hanggi |
|---|---|
| Categories | |
| ArXiv ID | physics/0402052 |
| URL | https://arxiv.org/abs/physics/0402052 |
| DOI | 10.1016/S0378-4371(02)01503-0 |
| Journal | Physica A 319 2003, 432-446 |
Abstract
In this work we develop a new method of diagnosing the nervous system diseases and a new approach in studying human gait dynamics with the help of the theory of discrete non-Markov random processes. The stratification of the phase clouds and the statistical non-Markov effects in the time series of the dynamics of human gait are considered. We carried out the comparative analysis of the data of four age groups of healthy people: children (from 3 to 10 year olds), teenagers (from 11 to 14 year oulds), young people (from 21 up to 29 year oulds), elderly persons (from 71 to 77 year olds) and Parkinson patients. The full data set are analyzed with the help of the phase portraits of the four dynamic variables, the power spectra of the initial time correlation function and the memory functions of junior orders, the three first points in the spectra of the statistical non-Markov parameter. The received results allow to define the predisposition of the probationers to deflections in the central nervous system caused by Parkinson's disease. We have found out distinct differencies between the five submitted groups. On this basis we offer a new method of diagnostics and forecasting Parkinson's disease.
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"abstract": "In this work we develop a new method of diagnosing the nervous system\ndiseases and a new approach in studying human gait dynamics with the help of\nthe theory of discrete non-Markov random processes. The stratification of the\nphase clouds and the statistical non-Markov effects in the time series of the\ndynamics of human gait are considered. We carried out the comparative analysis\nof the data of four age groups of healthy people: children (from 3 to 10 year\nolds), teenagers (from 11 to 14 year oulds), young people (from 21 up to 29\nyear oulds), elderly persons (from 71 to 77 year olds) and Parkinson patients.\nThe full data set are analyzed with the help of the phase portraits of the four\ndynamic variables, the power spectra of the initial time correlation function\nand the memory functions of junior orders, the three first points in the\nspectra of the statistical non-Markov parameter. The received results allow to\ndefine the predisposition of the probationers to deflections in the central\nnervous system caused by Parkinson\u0027s disease. We have found out distinct\ndifferencies between the five submitted groups. On this basis we offer a new\nmethod of diagnostics and forecasting Parkinson\u0027s disease.",
"arxiv_id": "physics/0402052",
"authors": [
"Renat Yulmetyev",
"Sergey Demin",
"Natalya Emelyanova",
"Fail Gafarov",
"Peter Hanggi"
],
"categories": [
"physics.med-ph"
],
"doi": "10.1016/S0378-4371(02)01503-0",
"journal_ref": "Physica A 319 2003, 432-446",
"title": "Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients",
"url": "https://arxiv.org/abs/physics/0402052"
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