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The Biological Signal Visualization Algorithm for Heart Surgery Simulator

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@article{IJASEIT14418,
   author = {Yong-Jun Noh and Chun-Ho Chang and Jong-Ha Lee},
   title = {The Biological Signal Visualization Algorithm for Heart Surgery Simulator},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {5},
   year = {2021},
   pages = {1890--1896},
   keywords = {Heart surgery; Physionet database; biological signal; virtual extractor; visualization.},
   abstract = {

This paper introduces a bio-signal visualization algorithm for developing a cardiovascular medical virtual training simulator. It provides opportunities for practitioners and specialists who have complicated medical practice to perform enough training exercises. To reimplement the current study operation situation as much as possible, we implemented an algorithm that can easily identify each biological signal based on the patient monitoring system by visualized. In the future, combining physical engines with valid verification of whether they are suitable for actual medical staff and building simulations. That is identical to actual surgical conditions will enable more scenarios for patient diagnosis and more training programs in various healthcare fields. It produces talented individuals with specialized skills for medical personnel by training in multiple health care fields and more patients' conditions. In addition, for emergencies and emergencies in a real surgical environment, patterns through pulse rate/blood pressure changes were implemented when certain values were entered. Users could be given various situations through the WebSocket communication method as a shield to provide them with specific situations (sudden blood pressure reduction, pulse rate rise, and breathing anxiety) suitable for each training scenario. Also, our method interacts with the user in real-time, keeps the signal uninterrupted and continuous when it gives signals such as a particular situation.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14418},    doi = {10.18517/ijaseit.11.5.14418} }

EndNote

%A Noh, Yong-Jun
%A Chang, Chun-Ho
%A Lee, Jong-Ha
%D 2021
%T The Biological Signal Visualization Algorithm for Heart Surgery Simulator
%B 2021
%9 Heart surgery; Physionet database; biological signal; virtual extractor; visualization.
%! The Biological Signal Visualization Algorithm for Heart Surgery Simulator
%K Heart surgery; Physionet database; biological signal; virtual extractor; visualization.
%X 

This paper introduces a bio-signal visualization algorithm for developing a cardiovascular medical virtual training simulator. It provides opportunities for practitioners and specialists who have complicated medical practice to perform enough training exercises. To reimplement the current study operation situation as much as possible, we implemented an algorithm that can easily identify each biological signal based on the patient monitoring system by visualized. In the future, combining physical engines with valid verification of whether they are suitable for actual medical staff and building simulations. That is identical to actual surgical conditions will enable more scenarios for patient diagnosis and more training programs in various healthcare fields. It produces talented individuals with specialized skills for medical personnel by training in multiple health care fields and more patients' conditions. In addition, for emergencies and emergencies in a real surgical environment, patterns through pulse rate/blood pressure changes were implemented when certain values were entered. Users could be given various situations through the WebSocket communication method as a shield to provide them with specific situations (sudden blood pressure reduction, pulse rate rise, and breathing anxiety) suitable for each training scenario. Also, our method interacts with the user in real-time, keeps the signal uninterrupted and continuous when it gives signals such as a particular situation.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14418 %R doi:10.18517/ijaseit.11.5.14418 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 5 %@ 2088-5334

IEEE

Yong-Jun Noh,Chun-Ho Chang and Jong-Ha Lee,"The Biological Signal Visualization Algorithm for Heart Surgery Simulator," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 5, pp. 1890-1896, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.5.14418.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Noh, Yong-Jun
AU  - Chang, Chun-Ho
AU  - Lee, Jong-Ha
PY  - 2021
TI  - The Biological Signal Visualization Algorithm for Heart Surgery Simulator
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 5
Y2  - 2021
SP  - 1890
EP  - 1896
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Heart surgery; Physionet database; biological signal; virtual extractor; visualization.
N2  - 

This paper introduces a bio-signal visualization algorithm for developing a cardiovascular medical virtual training simulator. It provides opportunities for practitioners and specialists who have complicated medical practice to perform enough training exercises. To reimplement the current study operation situation as much as possible, we implemented an algorithm that can easily identify each biological signal based on the patient monitoring system by visualized. In the future, combining physical engines with valid verification of whether they are suitable for actual medical staff and building simulations. That is identical to actual surgical conditions will enable more scenarios for patient diagnosis and more training programs in various healthcare fields. It produces talented individuals with specialized skills for medical personnel by training in multiple health care fields and more patients' conditions. In addition, for emergencies and emergencies in a real surgical environment, patterns through pulse rate/blood pressure changes were implemented when certain values were entered. Users could be given various situations through the WebSocket communication method as a shield to provide them with specific situations (sudden blood pressure reduction, pulse rate rise, and breathing anxiety) suitable for each training scenario. Also, our method interacts with the user in real-time, keeps the signal uninterrupted and continuous when it gives signals such as a particular situation.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14418 DO - 10.18517/ijaseit.11.5.14418

RefWorks

RT Journal Article
ID 14418
A1 Noh, Yong-Jun
A1 Chang, Chun-Ho
A1 Lee, Jong-Ha
T1 The Biological Signal Visualization Algorithm for Heart Surgery Simulator
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 5
YR 2021
SP 1890
OP 1896
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Heart surgery; Physionet database; biological signal; virtual extractor; visualization.
AB 

This paper introduces a bio-signal visualization algorithm for developing a cardiovascular medical virtual training simulator. It provides opportunities for practitioners and specialists who have complicated medical practice to perform enough training exercises. To reimplement the current study operation situation as much as possible, we implemented an algorithm that can easily identify each biological signal based on the patient monitoring system by visualized. In the future, combining physical engines with valid verification of whether they are suitable for actual medical staff and building simulations. That is identical to actual surgical conditions will enable more scenarios for patient diagnosis and more training programs in various healthcare fields. It produces talented individuals with specialized skills for medical personnel by training in multiple health care fields and more patients' conditions. In addition, for emergencies and emergencies in a real surgical environment, patterns through pulse rate/blood pressure changes were implemented when certain values were entered. Users could be given various situations through the WebSocket communication method as a shield to provide them with specific situations (sudden blood pressure reduction, pulse rate rise, and breathing anxiety) suitable for each training scenario. Also, our method interacts with the user in real-time, keeps the signal uninterrupted and continuous when it gives signals such as a particular situation.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14418 DO - 10.18517/ijaseit.11.5.14418