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Open Access e-Journal Cardiometry - No.14 May 2019

The present issue of our journal is of very special nature. We are constantly analyzing not only the readers’ focus of interest to the publications in our journal, but we are also tracing how cardiometry as a new science is realized by medical doctors and how they apply it in their practice.

The present issue of our journal is of very special nature. We are constantly analyzing not only the readers’ focus of interest to the publications in our journal, but we are also tracing how cardiometry as a new science is realized by medical doctors and how they apply it in their practice.

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5

( )−

12

5

4 4

− αβ

1 1( 2 + β1) ( α1

− ε1

)+

8

1

+ β α 5 −ε

5

2

2 3 3

f 1 ( ε 1

, α 1

, β 1 )= ε 1 ( 2 + β1

) α1

− ε1

4 1 2

f 2 1 1

5

( 1 1 )

5 3 2

( ε )= ε − ε1

+

3 3

• Maximum velocity U 01

for the early diastole period

and U 02

for the atrial systole is computed as given below:

U

01

3

36787. 5t01 5ε1

− 2 27⎤

=

⎣⎢

⎦⎥

5

− 2 243

1

( ) −

( ) −

(cm/s)

Velocity U 02

is calculated using the same formula at ε = ε 2

.

• The value of time interval t01 is determined based

on a certain condition. To calculate it we take value t 01

subject to the following equation:

{

5

SSV t U ⎡

01 01 ⎣ε1

1 f ε , α , β f ε

− − + ( )− ( )

( )} =

5

+ U ε −1 0

02 2

1 1 1 1 2 1

⎦ +

• The RV1 blood volume, entering the heart ventricle

in the phase of the early diastole, expressed as a percentage

of the filling volume, is found as given below:

RV1

=

U

5

100U

01 ⎣ε1

− 1+

f1

( ε1, α1,

β1)− f ⎤

2( ε1

) ⎦

5

⎣ε

− 1+

f1

( ε1, α1,

β1

)− ( ) ⎤

⎦ + 5

f U −

2

ε1 02

ε2

1

01 1

( )

(%)

• The RV2 blood volume, entering the heart ventricle

in the phase of the atrial systole, expressed as a percentage

of the filling volume, is calculated as follows:

RV2 = 100 – RV1 (%)

• Provided that a balance between the blood input volume

during the diastole and the blood output volume

during the systole is kept, it may be assumed that the

condition of the equal volumes in the filling and the

ejection is met. Then, knowing the stroke volume SV

value, it is possible to determine absolute (in ml) values

of diastolic phase volumes PV1 and PV2:

PV1 = SV ∙ RV1 / 100 (ml)

PV2 = SV ∙ RV2 / 100 (ml)

In the process of research, the relative phase volumes

of blood (RV1 ÷ RV5) to express a percentage

of the absolute value of each phase volume to

the stroke volume SV, have been also calculated and

analyzed. The hemodynamic parameters, the values

of which are expressed as a percentage of the stroke

volume, are pronounced markers of the contribution

of each phase process to the formation of cardiac

output.

Conclusions

• An original mathematical model of an optimal hydraulic

system for transportation of multi-phase fluids,

similar to blood, in the most economically efficient

"third" mode has been developed as a pioneering

theoretical basis for studying the peculiarities of the

circulatory system performance.

• Russian researchers G. Poedintsev and O. Voronova

have succeeded in creating a unique mathematical

model of human hemodynamics, which fully describes

the main laws of the transport function in the

circulatory system.

• Based on the above mathematical model concept,

elaborated has been a new noninvasive method for

determining volumetric parameters of the central hemodynamics

in each cardiac cycle phase with the use

of the cardiac cycle phase-related durations according

to an ECG curve. The theoretical concept has been

translated into a new product: PC-assisted hemodynamic

analyzer Cardiocode.

• The hemodynamic phase-related volumetric parameters

are the most informative characteristics of

the performance of the human circulatory system,

since they reflect the joint operation capability of the

heart and blood vessels. By identifying their correlation

and linking the latter with the anatomical and

functional state of the heart and blood vessels, we

obtain fresh possibilities to provide a new-type of

high-accuracy, reliable diagnostics of the circulatory

system performance and pathology, if any. In addition,

the developed method can be successfully used

to assess effectiveness of therapeutic and preventive

measures.

Statement on ethical issues

Research involving people and/or animals is in full

compliance with current national and international

ethical standards.

Conflict of interest

None declared.

Author contributions

All the authors read the ICMJE criteria for authorship

and approved the final manuscript.

References

1. Voronova OK. Development of models and algorithms

for automated assessment of the transport

14 | Cardiometry | Issue 14. May 2019

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