DEVELOPMENT OF SOFTWARE AND HARDWARE FOR THE METHOD OF REHABILITATION OF PATIENTS WITH OBLITERATION OF ATHEROSCLEROSIS OF THE LIMB VESSELS

2019;
: pp. 24-26
1
Lviv Polytechnic National University, Ukraine
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University, Department of Information-Measurement Technologies
4
Lviv Polytechnic National University, Ukraine
5
Lviv Polytechnic National University, Ukraine
6
Technical University, Ilmenau, Germany
7
Technical University, Ilmenau, Germany

The  theme  of  the  project  proposal  relates  to  scientific  research  in  the  field  of  health  care  and  medical technologies on  the basis of  the  further development  and  implementation of hardware software,  smart  sensors,  the  technique of processing, normalizing and applying of information signals for the creation of means for adjusting the physiological state of the human body by the electro stimulation, agreed in real-time mode with cardiac rhythm.

Interest in this topic is due to the manifestation of increasing the duration of the active period in the lives of a number of dangerous diseases, which,  in  the  first place,  include diseases of  the  cardiovascular  system. Often,  the  cause of  such diseases  is age-related  changes, as well as non-future behavior and human habits:  smoking,  lack of physical  activity, unhealthy  eating  and excessive alcohol. Changing behavior, a person can also reduce the risk of cardiovascular disease.

To  realize  the  declared  goal we  have  fulfilled  a  row  of  investigations  in  hardware  and  software.  For  instance, we  have studied  the ECG  signals  and  their processing with  the help of  artificial neural network. Simultaneously we have developed  the original method of enhancing  the blood circulation in the limb vessels. The  latter provides  the extra blood wave pressure due  to stimulation  of muscles  at  the moment  of  natural  flow  from  the heart was  passing  to  the  sick  place. Therefore  the  complicated device was  proposed  on  the  basis  of  conjugated  electrocardiograph  and  electro  stimulator. As  a  result, we  have  obtained  the possibility to expand the research applying the known instrumentation methods of studying the temperature, ultrasound, mass and admittance measurements.

[1]  J.  Frostegård,  “Immunity,  atherosclerosis  and cardiovascular  disease”,  BMC  Med.  2013;  11:  117.  Publ. online 2013 May 1.

[2]  R.  Lathe,  A.  Sapronova,  Yu.  Kotelevtsev, “Atherosclerosis  and  Alzheimer  –  diseases  with  a  common cause?  Inflammation,  oxysterols,  vasculature”,  BMC Geriatr., 14: 36, 2014. Publ. online 2014 Mar 21. 

[3]  V.Khoma, M.  Pelc,  Yu.  Khoma.  Artificial  Neural Network Capability  for Human Being  Identification  based  on ECG,  in  Proc.  23rd  Int.  Conf  on  Methods  and  Models  in Automation  and Robotics, Miedzyzdroje, 27-30 August 2018. IDAACS, 2018.

[4] LabVIEW 2017. [Online]. Available: http://www.ni. com/download/labview-development -system-2017/6698/en/

[5]  J.  Sauerer.  Smart  sensors,  AMA•FVEE•Workshop 2013.  [Online].  Available:  http://www.fvee.de/fileadmin/ publikationen/Workshopbaende/ws2013/ws2013_03_02.pdf

[6]  B.  Stadnyk,  T.  Fröhlich,  Yu.  Khoma,  V.  Herasymenko,  O.  Chaban,  “Impedance  analyser  error  correction using artificial neural networks”, 59th Ilmenau Sc. Coll. (IWK), Sept. 11–15, 2017.