Abstract
Precision methods and devices for diagnostics of cardiovascular diseases are one of the main directions for development of modern technology in the field of medical instrument engineering. However, there are no small devices that allow for the diagnostics of cardiac muscle with precision accuracy and without operative intervention at this stage. This study presents the problems associated with cardiovascular diseases (CVD) and the analysis of various organizations engaged in development of efficient means for CVD diagnostics. Two-component Aliev-Panfilov model and heart condition imaging algorithm are considered. Aspects of work aimed at designing and developing of the hardware and software complex based on the information obtained with the help of an electrocardiograph on nanosensors. The obtained results are presented.
| Original language | English |
|---|---|
| Title of host publication | 2014 the 4th International Workshop on Computer Science and Engineering - Summer, WCSE 2014 |
| Publisher | Science and Engineering Institute |
| Publication status | Published - 2014 |
| Event | 4th International Workshop on Computer Science and Engineering - Summer, WCSE 2014 - Dubai, United Arab Emirates Duration: 22 Aug 2014 → 23 Aug 2014 |
Other
| Other | 4th International Workshop on Computer Science and Engineering - Summer, WCSE 2014 |
|---|---|
| Country | United Arab Emirates |
| City | Dubai |
| Period | 22.8.14 → 23.8.14 |
Fingerprint
Keywords
- Distortion
- Heart bioelectric potentials
- Low-amplitude component
- Nanoelectrodes
- Reference signal
- Regular noise
- Signals filtering
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)
Cite this
Development of hardware and software system for early detection of heart disease. / Grigoriev, Michael Georgievich; Turushev, Nikita Vladimirovich; Avdeeva, D. K.
2014 the 4th International Workshop on Computer Science and Engineering - Summer, WCSE 2014. Science and Engineering Institute, 2014.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Development of hardware and software system for early detection of heart disease
AU - Grigoriev, Michael Georgievich
AU - Turushev, Nikita Vladimirovich
AU - Avdeeva, D. K.
PY - 2014
Y1 - 2014
N2 - Precision methods and devices for diagnostics of cardiovascular diseases are one of the main directions for development of modern technology in the field of medical instrument engineering. However, there are no small devices that allow for the diagnostics of cardiac muscle with precision accuracy and without operative intervention at this stage. This study presents the problems associated with cardiovascular diseases (CVD) and the analysis of various organizations engaged in development of efficient means for CVD diagnostics. Two-component Aliev-Panfilov model and heart condition imaging algorithm are considered. Aspects of work aimed at designing and developing of the hardware and software complex based on the information obtained with the help of an electrocardiograph on nanosensors. The obtained results are presented.
AB - Precision methods and devices for diagnostics of cardiovascular diseases are one of the main directions for development of modern technology in the field of medical instrument engineering. However, there are no small devices that allow for the diagnostics of cardiac muscle with precision accuracy and without operative intervention at this stage. This study presents the problems associated with cardiovascular diseases (CVD) and the analysis of various organizations engaged in development of efficient means for CVD diagnostics. Two-component Aliev-Panfilov model and heart condition imaging algorithm are considered. Aspects of work aimed at designing and developing of the hardware and software complex based on the information obtained with the help of an electrocardiograph on nanosensors. The obtained results are presented.
KW - Distortion
KW - Heart bioelectric potentials
KW - Low-amplitude component
KW - Nanoelectrodes
KW - Reference signal
KW - Regular noise
KW - Signals filtering
UR - http://www.scopus.com/inward/record.url?scp=84924973624&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924973624&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84924973624
BT - 2014 the 4th International Workshop on Computer Science and Engineering - Summer, WCSE 2014
PB - Science and Engineering Institute
ER -