Information Technology teaching the Methods for the Organism Recovery at Home Conditions
The information technology that provides learning the body recovery methods at home was developed. The technology is based on a mobile application running under Android operating system, which implements functions of a virtual instructor, with the help of a 3D model. To analyze the results, a comput...
Gespeichert in:
Datum: | 2018 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | English |
Veröffentlicht: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
2018
|
Schriftenreihe: | Управляющие системы и машины |
Schlagworte: | |
Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/142080 |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
Zitieren: | Information Technology teaching the Methods for the Organism Recovery at Home Conditions / L.S. Fainzilberg, D.V. Pomorska // Управляющие системы и машины. — 2018. — № 1. — С. 87-96. — Бібліогр.: 26 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraineid |
irk-123456789-142080 |
---|---|
record_format |
dspace |
spelling |
irk-123456789-1420802018-09-25T01:23:04Z Information Technology teaching the Methods for the Organism Recovery at Home Conditions Fainzilberg, L.S. Pomorska, D.V. Применения (опыт разработки и внедрения информационных технологий) The information technology that provides learning the body recovery methods at home was developed. The technology is based on a mobile application running under Android operating system, which implements functions of a virtual instructor, with the help of a 3D model. To analyze the results, a computer system FASEGRAPH® was used which automatically determines ordinary and original parameters of a single channel electrocardiogram as well as a modern fitness sensor Xiomi My Band 2, which gives the opportunity to monitor sleep with the help of the built-in pulse meter. Цель статьи – создать интегрированную ИТ для восстановления адаптационных возможностей организма в домашних условиях на основе мобильного Android приложения к смартфону. Методы: Предложена ИТ, которая с помощью динамических 3D моделей виртуальных инструкторов, обеспечивает отображение и настройку процессов выполнения методик восстановительного дыхания и лечебных упражнений укрепления мышц спины в домашних условиях. Мобильное приложение позволяет демонстрировать и настраивать параметры дыхательного упражнения (продолжительность вдоха, задержки дыхания, выдоха и общего времени выполнения процедуры), а также продолжительность и количество подходов при выполнении упражнений восстановления мышц спины. Результат: С помощью сравнительного анализа показателей ЭКГ и ВРС, определенных диагностическим комплексом ФАЗАГРАФ® до и после курса дыхательных упражнений, а также результатов мониторинга качества сна, определяемого фитнес-трекером Xiomi My Band 2 до и во время курса лечебных упражнений для улучшения состояния позвоночнику, продемонстрирована эффективность предложенной ИТ. Ціль статті – створення інтегрованої ІТ для відновлення адаптаційних можливостей організму в домашніх умовах на основі мобільного Android додатку до смартфону. Методи. Запропонована ІТ, яка за допомогою динамічних 3D-моделей віртуальних інструкторів та реалізованого мобільного додатку, забезпечує відображення та налаштування процесів виконання методик відновного дихання та лікувальних вправ зміцнення м’язів спини в домашніх умовах. Мобільний додаток дозволяє демонструвати та налаштовувати параметри дихальної вправи (тривалість вдиху, затримки дихання, видиху, загального часу проходження процедури), а також тривалість та кількість підходів при виконанні вправ відновлення м’язів спини. Результат. За допомогою порівняльного аналізу показників ЕКГ та ВРС, визначених діагностичним комплексом ФАЗАГРАФ® до та після курсу дихальних вправ, та результатів моніторинг сну, визначених фітнес-трекером Xiomi My Band 2 до та під час курсу лікувальних вправ для поліпшення стану хребта, продемонстровано ефективність запропонованої ІТ. 2018 Article Information Technology teaching the Methods for the Organism Recovery at Home Conditions / L.S. Fainzilberg, D.V. Pomorska // Управляющие системы и машины. — 2018. — № 1. — С. 87-96. — Бібліогр.: 26 назв. — англ. 0130-5395 DOI: https://doi.org/10.15407/usim.2018.01.087 http://dspace.nbuv.gov.ua/handle/123456789/142080 616-07-036.8 en Управляющие системы и машины Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України |
institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
collection |
DSpace DC |
language |
English |
topic |
Применения (опыт разработки и внедрения информационных технологий) Применения (опыт разработки и внедрения информационных технологий) |
spellingShingle |
Применения (опыт разработки и внедрения информационных технологий) Применения (опыт разработки и внедрения информационных технологий) Fainzilberg, L.S. Pomorska, D.V. Information Technology teaching the Methods for the Organism Recovery at Home Conditions Управляющие системы и машины |
description |
The information technology that provides learning the body recovery methods at home was developed. The technology is based on a mobile application running under Android operating system, which implements functions of a virtual instructor, with the help of a 3D model. To analyze the results, a computer system FASEGRAPH® was used which automatically determines ordinary and original parameters of a single channel electrocardiogram as well as a modern fitness sensor Xiomi My Band 2, which gives the opportunity to monitor sleep with the help of the built-in pulse meter. |
format |
Article |
author |
Fainzilberg, L.S. Pomorska, D.V. |
author_facet |
Fainzilberg, L.S. Pomorska, D.V. |
author_sort |
Fainzilberg, L.S. |
title |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions |
title_short |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions |
title_full |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions |
title_fullStr |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions |
title_full_unstemmed |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions |
title_sort |
information technology teaching the methods for the organism recovery at home conditions |
publisher |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України |
publishDate |
2018 |
topic_facet |
Применения (опыт разработки и внедрения информационных технологий) |
url |
http://dspace.nbuv.gov.ua/handle/123456789/142080 |
citation_txt |
Information Technology teaching the Methods for the Organism Recovery at Home Conditions / L.S. Fainzilberg, D.V. Pomorska // Управляющие системы и машины. — 2018. — № 1. — С. 87-96. — Бібліогр.: 26 назв. — англ. |
series |
Управляющие системы и машины |
work_keys_str_mv |
AT fainzilbergls informationtechnologyteachingthemethodsfortheorganismrecoveryathomeconditions AT pomorskadv informationtechnologyteachingthemethodsfortheorganismrecoveryathomeconditions |
first_indexed |
2025-07-10T14:06:29Z |
last_indexed |
2025-07-10T14:06:29Z |
_version_ |
1837269140706951168 |
fulltext |
ISSN 0130-5395, УСиМ, 2018, № 1 87
Применения (опыт разработки
и внедрения информационных
технологий)
DOI: https://doi.org/10.15407/usim.2018.01.087
УДК 616-07-036.8
L.S. FAINZILBERG, Doctor of Technical Sciences, head of the department,
International Research and Training Center for Information Technologies
and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine,
fainzilberg@voliacable.com
D.V. POMORSKAYA, graduate student, National Technical University
of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”, Peremohy Ave 37, Kyiv, Ukraine,
Pomorska_Diana@i.ua
INFORMATION TECHNOLOGY TEACHING THE METHODS
FOR THE ORGANISM RECOVERY AT HOME CONDITIONS
The information technology that provides learning the body recovery methods at home was developed. The technology is based
on a mobile application running under Android operating system, which implements functions of a virtual instructor, with the
help of a 3D model. To analyze the results, a computer system FASEGRAPH® was used which automatically determines
ordinary and original parameters of a single channel electrocardiogram as well as a modern fitness sensor Xiomi My Band 2,
which gives the opportunity to monitor sleep with the help of the built-in pulse meter.
Keywords: information technology, FASEGRAPH®, fitness sensor, resting breathing.
Introduction
Stress is one of the most common causes of hu-
man suffering, and excessive stress (distress) often
leads to pathological conditions, in particular, to
cardiovascular pathologies [1]. According to soci-
ologists, almost 70% of Ukrainians are constantly in
stress, and one third of the population is in a state
of severe stress [2].
Another significant problem of the modern so-
ciety – spine diseases, which also lead to severe
consequences, in particular neurological disor-
ders, hernia, osteochondrosis, arthritis [3] and
even disability.
There is a great number of recovery techniques,
the mastery of which reduces the negative effects
of stress and improves the spine’s conditions in the
early stages of violations. Among such methods in
the first place there is the method of resting
breathing and the complexes of exercises of medi-
cal gymnastics. With the help of computer pro-
grammes [4] and video [5], which demonstrate
such techniques, you can carry out the restoration
of the body at home.
At the same time, most of the known computer
programmes and videos provide only general rec-
ommendations for restorative techniques and
demonstrate recovery exercises, without taking
into account personal characteristics of the body
such as age, sex, blood pressure, general fitness of
the body, and so on. Therefore, the actual task is
the creation of information technology (IT),
which, with the help of a virtual electronic in-
structor, will allow to adapt the technique for a
particular user and to assess the effectiveness of
the organism restoration at home. Taking into
account the fact that according to the rough esti-
mates, almost 65% of Ukrainians use smartphones
in their lives so it is expedient to implement such
technology as a mobile application.
L.S. Fainzilberg, D.V. Pomorskaya
88 ISSN 0130-5395, Control systems and computers, 2018, № 1
The purpose of the article is a creation of the inte-
grated IT to restore the adaptive capacity of the body
at home based on the mobile Android application
to the smartphone.
Modern methods
of the body recovery
One of the popular ways to reduce the negative
effects of stress is to master the respiratory media-
tors, among which the most well-known are: dia-
phragmatic [6] and square breathing square, [7]
techniques, respiration by the Buteyko method
[8], meditative breath by the method of Norbekov
[9], yogas respiration, Strelnikov's respiratory sys-
tem [10] and Bulanova’s respiratory system [11],
rebaping [12], cholotropic breathing [13], respira-
tory gymnastics [14], and others.
It is clear that each of these techniques has its
own characteristics and limitations. Therefore, the
first natural question arises – which methodology
should be used as the basis for the creation of the
IT. To answer this question, we will take into ac-
count the following criteria:
popularity – relative number of links to the
methodology in searching system of the Internet;
contraindications – the number of diseases, in
the availability of which it is not recommended to
apply the method;
accessibility – simplicity of mastering the
technique at home;
efficiency – the correlation of positive or
negative comments published by online users;
restrictions – age or gender restrictions;
intensity – the required number of repetitions
of exercise to restore the body.
On the basis of the analysis of available literature
sources, a table of binary relations (paired advan-
tages according to the given criteria) of ten known
methods of restorative respiration (alternatives) was
constructed and by using Saati method [15] it was
determined that diaphragmatic and square breath-
ing techniques could be considered the most attrac-
tive for domestic consumption (Fig. 1) [16].
The second important trend in restorative tech-
niques is the implementation of the special thera-
peutic exercises aimed at reducing back pain and
preventing the development of spinal column dis-
ease in the early stages. Such exercises are not
complicated and can be done at home without
additional facilities.
According to [17], the complex of exercises by
the method of Sergei Bubnovsky (Fig. 2), which
are done in a certain sequence on the recommen-
dations of the doctor, provides treatment of initial
dysfunctions of the musculoskeletal system and
leads to a complete recovery of the body.
Also, therapeutic exercises according to Paul
Bragg's method [18] (Fig. 3) are also popular,
who, like many other experts, believes that “Spine
is the key to health”.
Other methods of treatment were also popular,
including V. Dikul's technique [19], which pro-
vides not only the training of the muscles of the
back but also of the chest, abdomen and limbs.
It should be noted that a qualified instructor of
a rehabilitation center usually adapts healing exer-
cises to the individual characteristics of a particu-
lar patient. But in the modern world, people do
not have much time to access medical facilities,
D
ia
ph
ra
gm
at
ic
br
ea
th
in
g
Fig. 1. Ranking of methods of restorative breathing by
Saati method [16]
a b
c
d
e
f
g
Fig. 2. Examples of exercises in the method of S. Bubnovsky
[17]: a – lifting of the hand / foot from a position on all fours;
b – partial twisting; c – side bar; d – hamstring stretch;
e – pelvic inclinations; f – stretching of the gluteus muscles;
g – cat and camel
Information Technology Teaching the Methods for the Organism Recovery at Home Conditions
ISSN 0130-5395, УСиМ, 2018, № 1 89
and classes with a personal instructor at home are
not available to every user.
It seemed like a way out of this situation is the
restoration of the body at home with the use of
available video films, in which a qualified instruc-
tor demonstrates the basic skills of these tech-
niques. But the exercises that are shown in such
films are aimed at the “average” user. In other
words, if a user independently uses a video at home,
then, unlike real lessons with a personal instruc-
tor, he is deprived of the opportunity to perform
exercises with the required pace, range of move-
ments and other important features, taking into
account the individual peculiarities of his body.
At the same time, the development of computer
technologies and methods of 3D modeling [20]
allows today to create a “virtual” instructor who
will demonstrate a therapeutic exercise adapted to
the recommendations of a physician-reabistologist
to a particular patient on a computer tablet
(smartphone).
3D creation
and animation technology
There are many techniques for character anima-
tion, most of which are used in the gaming indus-
try [21]. However, there are almost no ready-
made animations of physical exercises, as well as
detailed animations of breathing. And also in the
simulation of breathing, there is a number of ob-
stacles, because the animation is not related to the
human skeleton, but with the muscles. Therefore,
to build a virtual instructor with realistic anima-
tion and the ability to control animation of move-
ments, there is a need to create such a 3D model
from scratch.
Let's consider first the simulation process of the
3D animation of the instructor, demonstrating the
breathing exercise (Fig. 4). In the first stage
(Fig. 4, a) in the 3Ds Max environment, we will
develop a 3D model in the form of a set of poly-
gons. This process begins with the selection of a
template photo with two projections (frontal and
sagittal) and the design of geometric shapes of dif-
ferent parts of the human body. Then carry out
scaling and segmentation of these figures, adding
sections and removing unnecessary faces to main-
tain the quadrangular structure of the polygons.
After completing all the parts, the smoothing of
of the body of the model, by means of the pro-
gramme 3Ds Max. To give the model more realis-
tic look, an overlay of textures (Fig. 4, b) is used.
In order to create a skin for a model, it is neces-
sary to develop a scan, which allows solving the
problem of how to apply a flat (two-dimensional)
image to three-dimensional geometry.
Adobe Photoshop CS 6 was used to create the
spreadsheet.
The development of the frame of the animation
is to create a skeleton character (Fig. 4, d). For
this purpose rinning is used – the process of pre-
paring a character for animation, which includes
creating and placing inside a three-dimensional
model, virtual “skeleton” – a set of “bones” or
“joints” and establishing a hierarchical relation-
ship between them and others.
b
c d e
a
Fig. 3. Braga’s Exercises for Muscle Training: a – the cer-
vical spine; b – the thoracic spine; c – the muscle of the
lumbar spine; d – the connection of the lumbar muscle
with the buttocks; e – the connection of the femoral mus-
cles with the femur
а b c
d e f
Fig. 4. The main stages of creating a “virtual instructor”: a
– polygon representation of the 3D model; b – texture
layout; c – animated model; d – sketch for animation; e –
fragment of the chest skeleton; f – animated chest
L.S. Fainzilberg, D.V. Pomorskaya
90 ISSN 0130-5395, Control systems and computers, 2018, № 1
After the rigging is the process of skinning, which
consists of assigning links between the parts of the
surface of the very figure that is animated. For
example, it is necessary that the bone correspond-
ing to the extreme phalanx of the finger affects
only the desired group of vertices on the surface of
the 3D animated shapes. That is, to change the
position of this phalanx would not lead to bending
the entire hand of the character.
The animation stage of the body part which
bound to the skeleton consists of the following
stages. We bring the objects of the scene to the
original position (place our character in the original
position before the animation) and set the slider
animation timer to zero. Then we set the frequency
and number of frames of the animation and activate
the manual animation mode. Next, we move the
slider to the native key animation frame, and set
the required values of our parameters, that is, we
return a certain segment of our model to the de-
sired angle (Fig. 4, c), or move to another place,
using attachment to the skeleton. In particular,
when moving with a particular joint, the part of the
body that is attached to it is moved in the skeleton
(Fig. 4, d). After that, we set the animation key to
fix the values of the settings. Smooth transition
from one position to another between the key
frames the 3Ds Max programme makes itself.
Since the creation of the animation of the tho-
rax is not related to the skeleton, for a realistic
picture, 3D models of internal organs, which are
responsible only for the process of breathing
(Fig. 4, e, f), are constructed. In this case, anima-
tion occurs by changing the size of the lungs and
the diaphragm by moving the polygons. These or-
gans then bind to the entire body, and when mov-
ing of the internal organs, the part of the human
body that displaces them internally is displaced.
All of the above stages of simulation of the vir-
tual instructor, which demonstrates the breathing
exercise, were also used to simulate spine recovery
technique (Fig. 5).
The final result is influenced by the detail of the
image of each of the frames. It is important for
each action to take into account the timing to
eliminate the problem of the absence of possible
delays. To ensure smooth transition between
frames, the programme application implements a
special Auto Key mode that calculates point
movements for each millisecond. Only the most
visible transitions from one state to another are
configured manually.
Structure of information technology
To solve this problem, IT was created (Fig. 6),
which, with the help of dynamic 3D models of vir-
tual instructors, provides the display and adjustment
of processes for performing respiratory techniques
and healing exercises for strengthening back mus-
cles at home.
Virtual instructors are implemented on a mobile
application running Android operating system.
The mobile application allows you to demonstrate
and adjust the parameters of the respiratory exer-
cise (inspiratory duration, respiratory depression,
exhalation, total time of the procedure), as well as
the duration and number of approaches when per-
forming muscle recovery exercises in the back.
In order to assess the effectiveness of the resto-
ration of the body in the first stage, with the help
of special devices, the initial rates of a particular
patient are recorded. At the second stage, using a
virtual instructor and individually selected pa-
rameters, a restorative technique are carried out.
The last step is to register and process the physio-
logical status of a particular patient after a rehab
and evaluate its effectiveness.
а b
c d
Fig. 5. The main stages of creating a “virtual instructor”:
a – polygon representation of the 3D model; b – skeleton
for animation; c – texture overlays; d – animated model
Information Technology Teaching the Methods for the Organism Recovery at Home Conditions
ISSN 0130-5395, УСиМ, 2018, № 1 91
The examination of the effectiveness of respi-
ratory techniques is carried out with the help of
the domestic diagnostic complex FASEGRAPH®,
which is based on a microprocessor sensor with
finger-electrodes for the registration of a single-
channel electrocardiogram (ECG) and a com-
puter programme that provides automatic ECG-
procesing. The complex implements an innova-
tive method of fasegraphy [22] and provides defi-
nition:
averaged heart rate (HR) and traditional indi-
cators of single-channel ECG – amplitude-time
parameters of corresponding teeth, intervals and
segments;
original indicators of ECG in the phase space
(symmetry index of the tooth T and its mean
square deviation of the STD T ), the diagnostic
effectiveness of which is confirmed by the results
of clinical trials [23];
statistical and spectral parameters of heart rate
variability (HRV).
The system consists of six scenes (menu, start of
breathing technique, start of spine recovery tech-
nique, setting of parameters, review of instruc-
tions, description of the programme), depicted in
the diagram (Fig. 7), with transitions between them.
When you open the programme, the main menu
of the application is displayed (Fig. 8). To start the
model of a virtual instructor, you must choose the
breathing techniques, or spine recovery tech-
niques, with a window where you can start the
model according to the parameters that were pre-
viously set. To change the settings, go to the “Op-
tions” item. The virtual instructor menu provides
an opportunity to read the programme's instruc-
tions and developer data.
Fig. 9 shows a sequence diagram for adjusting
the parameters of the restorative technique. If the
settings for breathing parameters are selected, the
user can set parameters such as: breathing time,
breathing, exhalation, overall duration of the pro-
cedure and type of breathing.
When choosing spine recovery technique you
need to: select the level of training, for this you
should pass the test, you can also change the time
of the exercise, the total time of passing the tech-
nique and a brief review of each exercise.
Since it is known that with a back pain, usually
a person's sleep is disturbed; therefore, for assess-
ing the effectiveness of the techniques for restoring
muscle back, it is suggested to use the Xiomi My
Band 2 fitness trainer (Fig. 10) with a built-in
pulse meter.
Instruments for patient
registration
Virtual instructors
Statistical processing module
Decision making module
Fig. 6. Structure of information technology for the restora-
tion of the organism
User
Stop
Start spine recovery
technique
Start breathing
technique
Program
Description
Customize
settings
Exit
Pause
Start
Launch the timerRunning the
model
<<включити>><<include>>
Menu
<<include>>
<<include>><<include>>
<<включити>>
<<include>>
<<include>>
<<include>>
<< include>>
Fig. 7. Use-case IT chart
User Methods of
breathing
Go to the window
Close the program
Passage of the technique
of breathing
A passage of the technique of regeneration of the spine
Return
Return
Methods of recovery
of the spine Customize settings
Configuring recovery options
Return
Selection and setting of breath parameters
Menu
Return
Selecting and adjusting spine recovery options
Return
Saving data
Saving data
Close the programme
Fig. 8. UML sequence diagram of the programme
L.S. Fainzilberg, D.V. Pomorskaya
92 ISSN 0130-5395, Control systems and computers, 2018, № 1
Information about the user's sleep per week is
read from the fitness tracker, namely:
total sleep time, in particular, hours in which
the user has fallen asleep and wakes up;
duration of the deep sleep phase;
duration of the fast sleep phase.
It is known [24] that a deep sleep phase is
needed for the human body to restore physical
functions. During this time there is the process of
the cells and internal structures renewal, energy is
restored, muscles grow, hormones are released.
The norm of deep sleep among adults is in the
range of 30 to 70% of the total duration. During
the fast phase of sleep, work takes place at the
level of the mental and emotional areas: the nerv-
ous system is restored, information is processed,
memory is tempered and other body structures are
restored.
According to this, the dynamics of the slow and
fast phases of sleep ratios carries important an in-
formation about the functional state of the organ-
ism and can confirm or disprove the effectiveness
of applying the method of recovery of the back
muscles.
Practical results of the testing
of the created IT
The study of the rehabilitation technique effec-
tiveness was conducted in a group of 12 healthy
volunteers at the age of 21–24. Compared the
above ECG and HRV indices in the initial state
and after conduction of restorative breathing using
diaphragmatic or square breathing techniques. To
do this, after setting up, the subject should breathe
in synchrony with the virtual instructor for 5, 6
and 7 minutes at certain intervals of rest.
Visibility of the information provided by the
FASEGRAPH® complex allowed to conduct not
only quantitative but also qualitative assessment of
changes in the functional state of the user based on
visual analysis of cognitive graphic images (rhyth-
mograms, scherograms, spectrograms R – R – in-
tervals and phase trajectories of the ECG) that
were observed during the implementation of the
Menu Setting common
parameters
Adjustment of
breathing parameters
Configure spine
recovery options
Go to the setup
breathing parameters Delay settings
breath
Inhale settings
Exhale settings
General settings
duration of breathing
Choice of technique
Go to setting options
spine recovery
General choice
number of exercises
Saving new data
Exercise time
Total time
passing the technique
Choose the level
of training
A short review
each exercise
Saving new data
Completion
Customize settings
recovery techniques
Fig. 9. UML sequence diagram for setting method pa-
rameters
a b
Fig. 10. Tools for monitoring user’s sleep: a – fitness
tracker Xiomi My Band 2; b – programme of monitoring
of sleep
a
b
c
б
а
d
b
c d
a
b
c
б
а
d
b
c d
Fig. 11. Rhythmograms (left) and skaterograms (right)
R –R – intervals: a – the initial state; b – 5 minutes
breath; c – 6 minutes breath; d – 7 minutes breath
Information Technology Teaching the Methods for the Organism Recovery at Home Conditions
ISSN 0130-5395, УСиМ, 2018, № 1 93
method of restoration of the breathing.
Fig. 11 shows cognitive graphic images that
were observed at one of the subjects during the
implementation of the technique. The tests
showed that the majority of volunteers had a de-
crease in the size of the Poincare-Lorentz spot on
the skaterogram -intervals with simultaneous posi-
tive dynamics of the voltage index of regulatory
systems, which was automatically determined by
the FASEGRAPH® complex according to the
standard method [25].
FASEGRAPH® also allowed to confirm the
weakening of the influence of parasympathetic
activity and increase of sympathoadrenal activity
based on the power balance analysis of the spectral
components R – R intervals in the region of the
low (LF) and high (HF) frequencies [26].
Changes in the average ECG cycle shape were
also observed (Fig. 12). More clearly, such chan-
ges manifested in the phase plane: with subjective
Tested 1
Tested 2
Fig. 13. Dynamics of heart rate (top) and indicator (below)
for two subjects (volunteers)
c
а b
d
а b
c d
Fig. 12. Averaged ECG cycle in time domain (left) and phase
paths (right) a – initial state, b – 5 minutes breath, c – 6
minutes breath, d – 7 minutes breath
L.S. Fainzilberg, D.V. Pomorskaya
94 ISSN 0130-5395, Control systems and computers, 2018, № 1
complaints of the patient, an increase in the mag-
nitude of the spread of phase trajectories was ob-
served.
Practically, in all volunteer after conduction of
restorative respiration, there was a positive dynam-
ics of the original index T , which, according to
the phasagraphy method, carries important diag-
nostic information about myocardial ischemia [24].
During a certain period (from 15 to 30 days)
volunteers, with the help of the virtual instructor,
independently were engaged in the method of re-
storative respiration at home. After that, a second
test was carried out, again using the FASEGRAPH®
complex, the ECG and HRF indices in the course
of the implementation of the respiratory exercise
were determined and the graphs of the percentage
changes in relation to their values in the first test
were built (Fig. 13).
As can be seen from Fig. 13 of the volunteer A,
after the restoration of breathing procedures (in
the second test), there was a decrease of HRV and
T in comparison with the first test, which con-
firms the effectiveness of the exercises.
Volunteer B observed a further decrease in the
indicator T with simultaneous increase of HRV.
It should also be noted that during the first and sec-
ond exercises volunteer B observed a monotonous
decrease in the indicator Т in the process of res-
piratory load growth.
The multidirectional nature of adaptations of
volunteer regulatory systems is likely to be related
to the different levels of their fitness. It is clear
that such an assumption can only be considered as
a working hypothesis, which requires more in-
depth study.
Similarly, a group of 8 healthy volunteers aged
18–40 conducted an assessment of the effective-
ness of back muscles recovery methods. To do
this, before training sessions with the fitness
tracker Xiomi My Band 2 during the week, we
determined the averaged volunteer’s sleep charac-
teristics. Then, volunteers with the help of virtual
instructors with individually adjusted parameters
for two weeks were engaged in the method of re-
covery of the back. After completing the training,
volunteers' sleeping characteristics were again de-
termined and analysis of changes in the ratio of
slow and fast volunteer sleep duration compared
with the initial characteristics.
Fig. 14 illustrates the results of two volunteers
sleep monitoring before and during training.
It is easy to see that both volunteers experienced a
positive dynamics of sleep quality. At the same
time, after two weeks of training in volunteer
number 2, the deep sleep phase increased by al-
most 14 percent (from 24.37% to 38.29%), indi-
cating a high efficiency of the restorative tech-
nique. Positive dynamics of sleep quality (ex-
tended deep sleep phase) was observed in all vol-
unteers while undergoing a technique, together
with simultaneous subjective sensation of general
improvement of the body's condition.
It is clear that the first positive results of the
testing of the created IT require a detailed study of
pain on representative samples of observations to
evaluate the statistical significance of the results
obtained.
Conclusion
The proposed IT, thanks to the visual presentation of
the technique of restorative respiration and the
technique of the spine recovery, by means of the
created 3D model of the virtual instructor, allows
to improve the quality of the recovery techniques
training.
Fig. 14. Dynamics of indicators of deep and fast sleep of
two subjects (volunteers)
Information Technology Teaching the Methods for the Organism Recovery at Home Conditions
ISSN 0130-5395, УСиМ, 2018, № 1 95
The use of the virtual instructors allows adapt-
ing the restorative technique to a particular user,
taking into account his personal characteristics
and recommendations of the physician-rehab.
Using a comparative analysis of ECG and HRV
indices determined by the diagnostic complex
FASEGRAPH® before and after the course of the
breathing exercises, and the monitoring results of
sleep monitoring determined by the fitness tracker
Xiomi My Band 2 before and during the course of
therapeutic exercises to improve the spine, dem-
onstrated the effectiveness of the proposed IT.
In the future, we intend to expand the functions
of virtual instructors by improving 3D models and
conduct an additional research to assess the statis-
tical significance of the results.
REFERENCES
1. The role of psychosocial stress factors in the development of cardiovascular disease: the possibility of phasagraphy in
preventing their negative effects / I.P. Katerhenchuk, L.S. Fainzilberg, A.I. Katerhenchuk et al. // Bulletin of Biology
and Medicine. – 2017. – 4, Volum 1 (139). – P. 42–46. (In Ukrainian).
2. Fainzilberg L.S., Kondratyuk T.V., Semmerge N.A. ANTISTRESS a new information technology for controlling the
human body's regulatory systems based on biological feedback // Upr. sist. maљ. – 2011. – N 3. – P. 62–72. (In Russian).
3. Spinal Diseases. Complete directory / A. Avdeyev, A. Veshkin, V. Gladenin et al. – Samara: Exmo, 2008. – 608 p.
4. Postoperative monitoring with a mobile application after ambulatory lumbar discectomy: an effective tool for spine
surgeons / B. Debono, P. Bousquet, P. Sabatier et al. // Europ. Spine J. – N 25. – P. 36–42.
5. Physiotherapy scoliosis-specific exercises – a comprehensive review of seven major schools / H. Berdishevsky,
V. Lebel, J. Bettany-Saltikov et al. // Scoliosis Spinal Disorders. – 2016. – N 11.
6. The Effect of Diaphragmatic Breathing on Attention, Negative Affect and Stress in Healthy / M. Xiao, Y. Zi-Qi,
G. Zhu-Qing et al. // Frontiers in Psychology. – 2016. – N 8. – P. 874.
7. Square breathing or square breathing. – 2016. – http://www.aum.news/meditatsiya/1499-kvadratnoe-dyhanie-ili-
dyhanie-pokvadratu. (In Russian).
8. Buteyko M.M., Buteyko V.K. About the method of Buteyko firsthand. – M.: Patriot, 2005. (In Russian).
9. Sachko V. System of employment by Norbekov // Man and health. – 2013. – N 11. – P. 24–27. (In Russian).
10. Shchetinin M. Respiratory gymnastics Strelnikova // Physical Education and Sports. – 1998. – N 9. – P. 9–10. (In
Russian).
11. Ivasik N. Without aparatnyi methods of dihalnogo gimnastics // Physical culture, sports and health of the 77 nation. –
Vinnitsa, 2014. – 17. – P. 670–676. (In Ukrainian).
12. Koryagina I. Rebounding: Lessons of conscious breathing. – M.: Amrita-Rus, 2014. – 128 p. (In Russian).
13. Grof S., Grof С. Holotropic Breathwork: A New Approach to Self-Exploration and Therapy. – New York: First Edi-
tion, 2010. – 221 p.
14. Personality oriented system of strengthening of students’ physical, psychic and social-moral health /
M.D. Kudryavtsev, Y.A. Kopylov, V.A. Kuzmin et al. // Physical education of students. – 2015. – N 3. – P. 43–52.
15. Saati T. Making decisions. Method of analysis of hierarchies. – М.: Radio and communication, 1993. – 278 p. (In
Russian).
16. Pomorskaya D.V. Information technology of training the skills of restorative breathing at home // Slovak international
scientific j. – 2017. – P. 3–8. (In Russian).
17. Bubnovsky S.M. 50 Essential Exercises for Health. – Samara: Eksmo, 2016. – 132 p. (In Russian).
18. Bragg P. The spine is the key to health. – M.: Potpourri, 2014. – 240 p. (In Russian).
19. Dikul V. Big Book. Healthy spine. – Samara: Eksmo, 2012. – 688 p. (In Russian).
20. Development of graphic tools for simulation of sign information / Yu.V. Krak, A.S. Ternov, V.O. Kuznetsov et al. // Thesis
of Int. Conf. “Dynamical systems modeling and investigation. Modeling and stability”. – K., 2013. – P. 402. (In Ukrainian).
21. Park S.I., Hodgins J.K. Capturing and animating skin deformation in human motion. ACM Trans. on Graphics
(TOG). – 2006. – 25, N 3. – P. 881–889.
22. Fainzillberg L.S. Fundamentals of fasegraphy. – K.: Education of Ukraine, 2017. – 264 p. (In Russian)
23. Pomorskaya D.V. Information technology of training the skills of restorative breathing at home // Znanstvena misel j. –
2017. – P. 93–103. (In Ukrainian).
24. Review: Mi Band 2 from Xiaomi – fitness-tracking features on a band with an OLED display // South China Morning
Post. – 2016. – http://www.scmp.com/ lifestyle/article/1983651/review-mi-band-2.
L.S. Fainzilberg, D.V. Pomorskaya
96 ISSN 0130-5395, Control systems and computers, 2018, № 1
25. Methodical recommendations of the Ministry of Education of Ukraine “Application of the fasegraphy method in the
screening of coronary heart disease” / D.D. Dyachuk, V.I. Gritsenko, A.M. Kravchenko et al. – Ê.: Ukrmedpatentin-
form, 2017. – 32 p. (In Ukrainian).
26. Baevsky R.M., Ivanov G.G., Chireikin L.V. Analysis of heart rate variability when using various electrocardiographic
systems // Herald of arrhythmology. – 2002. – N 4. – P. 65–70. (In Russian).
Received 16.01.2018
Л.С. Файнзiльберã, д-р. техн. наóê, зав. від.,
Міжнародний наóêово-навчальний центр інформаційних технолоãій
та систем НАН та МОН Óêраїни, просп. Ãлóшêова, 40, Êиїв 03187,
fainzilberg@voliacable.com
Д.В. Поморсьêа, маãістрант, Нац. техн. óн-т Óêраїни «Êиївсьêий політехнічний
ін-т ім. Іãоря Сіêорсьêоãо», НТÓÓ ÊПІ ім. Іãоря Сіêорсьêоãо, Êиїв, 03056, просп. Перемоãи, 37.
Pomorska_Diana@i.ua
ІНФОРМАЦІЙНА ТЕХНОЛОÃІЯ НАВЧАННЯ МЕТОДИÊАМ
ВІДНОВЛЕННЯ ОРÃАНІЗМÓ В ДОМАШНІХ ÓМОВАХ
Встóп. Існóє велиêа êільêість відновних методиê, оволодіння яêими забезпечóє зменшення неãативних наслідêів
стресó та поліпшення станó хребта на ранніх стадіях порóшень. Освоїти методиêи можна в домашніх óмовах за
допомоãою êомп’ютерних проãрам та відео. Однаê вони дають лише заãальні реêомендації відновних методиê та
демонстрóють відновні вправи, не враховóючи персональні хараêтеристиêи орãанізмó. Томó аêтóальною задачею є
створення інформаційної технолоãії (ІТ), яêа за допомоãою віртóальноãо елеêтронноãо інстрóêтора дозволить адап-
тóвати методиêó під êонêретноãо êористóвача та оцінити ефеêтивність відновлення орãанізмó в домашніх óмовах.
Мета статті – створення інтеãрованої ІТ для відновлення адаптаційних можливостей орãанізмó в домашніх
óмовах на основі мобільноãо Android-додатêó до смартфонó.
Методи. Запропонована ІТ, яêа за допомоãою динамічних 3D-моделей віртóальних інстрóêторів та реалізо-
ваноãо мобільноãо додатêó, забезпечóє відображення та налаштóвання процесів виêонання методиê відновноãо
дихання та ліêóвальних вправ зміцнення м’язів спини в домашніх óмовах. Мобільний додатоê дозволяє демон-
стрóвати та налаштовóвати параметри дихальної вправи (тривалість вдихó, затримêи дихання, видихó, заãально-
ãо часó виêонання процедóри), а таêож тривалість та êільêість підходів при виêонанні вправ відновлення м’язів
спини.
Резóльтат. За порівняльним аналізом поêазниêів ЕÊÃ та ВРС, визначених діаãностичним êомплеêсом
ФАЗАÃРАФ® до та після êóрсó дихальних вправ, та резóльтатів моніторинãó снó, визначених фітнес-треêером
Xiomi My Band 2 до та під час êóрсó ліêóвальних вправ для поліпшення станó хребта, продемонстровано ефеêтив-
ність запропонованої ІТ.
Висновоê. Запропонована ІТ завдяêи наочномó поданню методиêи відновноãо дихання та техніêи віднов-
лення хребта за допомоãою створеної 3D-моделі віртóальноãо інстрóêтора дозволяє підвищити яêість навчання
методиêи відновлення. Застосóвання віртóальних інстрóêторів дозволяє адаптóвати відновнó методиêó під êонê-
ретноãо êористóвача з óрахóванням йоãо особистих хараêтеристиê та реêомендацій ліêаря-реабілітолоãа.
Êлючовi слова: iнформацiйна технолоãiя, ФАЗАÃРАФ®, фiтнес-датчиê, вiдновне дихання.
|