Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M....
-
Upload
christal-britney-elliott -
Category
Documents
-
view
218 -
download
0
Transcript of Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M....
![Page 1: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/1.jpg)
Nonlinear dynamic Nonlinear dynamic system analyzing for system analyzing for
heart rate heart rate variability variability
mathematical modelmathematical model A.Martynenko & M. YabluchanskyA.Martynenko & M. Yabluchansky
Kharkov National University Kharkov National University (Ukraine)(Ukraine)
![Page 2: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/2.jpg)
2
HRV – naturally observing HRV – naturally observing phenomenon of nonlinear dynamic phenomenon of nonlinear dynamic behavior of the cardiovascular behavior of the cardiovascular systemsystem
Non Linear Mathematical Model (NL Non Linear Mathematical Model (NL MM) of HRVMM) of HRV Why do we need this model?Why do we need this model? What is the advantage of NL MM for What is the advantage of NL MM for
investigation of ANS?investigation of ANS?
![Page 3: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/3.jpg)
3
Mathematical model Mathematical model differential equationsdifferential equations
Regulatory (ANS) group: Regulatory (ANS) group: Nonlinear dynamic quasi-Nonlinear dynamic quasi-periodical processes in humoral periodical processes in humoral (1)(1), sympathetic , sympathetic (2)(2), , parasympathetic parasympathetic (3)(3) branches of nervous system branches of nervous system
d2(ANSd2(ANSii)/dt2 = F)/dt2 = Fii(R(Ri i d(ANSd(ANSii)/dt, A)/dt, Aii ANSANSii, S, Sjj ANSANSjj, , BioMechanics), i,j = 1,2,3,BioMechanics), i,j = 1,2,3,
BioMechanics group: BioMechanics group: equations that describe function equations that describe function of biomechanical parameters forming ANS activityof biomechanical parameters forming ANS activity
d2(BMd2(BMii)/dt2 = B)/dt2 = Bii(R(Rii d(BMd(BMii)/dt, A)/dt, Aii BMBMii, HR, HRññ, ANS), i = , ANS), i = 4,5,6,4,5,6,
HR equation - HR equation - describe HR changes from cycle to cycle describe HR changes from cycle to cycle
d2(HRd2(HRññ)/dt2 = )/dt2 = ffii(R (R d(HRd(HRññ)/dt, A )/dt, A HRHRññ,S,Sjj ANSANSjj), j = 1,2,3.), j = 1,2,3.
![Page 4: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/4.jpg)
4
Scheme of cardiovascular Scheme of cardiovascular regulationregulation
(cross-linkage in mathematical (cross-linkage in mathematical model)model)
Symp
HRV
Gumr.
Parasmph.
PR
ABP
SV
![Page 5: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/5.jpg)
5
HRV (corr=0.993) and HRV (corr=0.993) and spectrum (corr=0.999) spectrum (corr=0.999) (registration vs. model)(registration vs. model)
![Page 6: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/6.jpg)
6
First result of NL MM – new First result of NL MM – new technique of spectral domain technique of spectral domain
separationseparation
![Page 7: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/7.jpg)
7
‘‘Nlyzer’ by TU DarmstadtNlyzer’ by TU Darmstadt
![Page 8: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/8.jpg)
8
Standard nonlinear Standard nonlinear analyzesanalyzes
Fractal Dimension Fractal Dimension (D2)(D2) HRV – 4.74 – 5.3HRV – 4.74 – 5.3 ECG – 2.65 – 3.5ECG – 2.65 – 3.5
N points for N points for embeddingembedding N=10N=102+0.4D22+0.4D2=10000=10000
Autocorrelation for Autocorrelation for time delaytime delay
Entropy and mutual Entropy and mutual informationinformation
![Page 9: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/9.jpg)
9
Lorentz attractor Lorentz attractor (D2=2.06)(D2=2.06)
![Page 10: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/10.jpg)
10
Attractor reconstruction Attractor reconstruction (20 min)(20 min)
![Page 11: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/11.jpg)
11
Attractor reconstruction (2500 Attractor reconstruction (2500 heartbeat)heartbeat)
![Page 12: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/12.jpg)
12
Attractor reconstruction (5000 Attractor reconstruction (5000 heartbeat)heartbeat)
![Page 13: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/13.jpg)
13
Attractor reconstruction Attractor reconstruction (10000 heartbeat)(10000 heartbeat)
![Page 14: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/14.jpg)
14
Attractor reconstruction Attractor reconstruction (15000 heartbeat)(15000 heartbeat)
![Page 15: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/15.jpg)
15
Attractor reconstruction Attractor reconstruction (20000 heartbeat or about 5 (20000 heartbeat or about 5
hours)hours)
![Page 16: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/16.jpg)
16
Attractor reconstruction Attractor reconstruction (3min+MM)(3min+MM)
![Page 17: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/17.jpg)
17
Attractor reconstruction Attractor reconstruction (15000 heartbeat)(15000 heartbeat)
![Page 18: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/18.jpg)
18
Poincare map (3 min+ Poincare map (3 min+ MM)MM)
![Page 19: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/19.jpg)
19
Attractor reconstruction (3 Attractor reconstruction (3 min + MM)min + MM)
![Page 20: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/20.jpg)
20
Attractor reconstruction (3 Attractor reconstruction (3 min + MM)min + MM)
![Page 21: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/21.jpg)
21
HRV attractor and its P-HRV attractor and its P-map map
x y z( ) a b c( )
![Page 22: Nonlinear dynamic system analyzing for heart rate variability mathematical model A.Martynenko & M. Yabluchansky Kharkov National University (Ukraine)](https://reader036.fdocuments.in/reader036/viewer/2022062722/56649f315503460f94c4ce52/html5/thumbnails/22.jpg)
22
ConclusionConclusion Cardiovascular regulation is nonlinear Cardiovascular regulation is nonlinear
dynamic system, and then we need nonlinear dynamic system, and then we need nonlinear mathematical modeling for their mathematical modeling for their investigation.investigation.
Advantages of NL MM:Advantages of NL MM: New technique of spectra domain separationNew technique of spectra domain separation Great time compression: We don’t need 4-5 hours Great time compression: We don’t need 4-5 hours
of registration for attractor reconstruction – only of registration for attractor reconstruction – only 3 min of registration and NL MM3 min of registration and NL MM
Attractor visualization in Humoral - Sympathetic Attractor visualization in Humoral - Sympathetic - Parasympathetic phase space is very good- Parasympathetic phase space is very good