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Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture

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@article{IJASEIT9804,
   author = {Mitko M. Gospodinov and Evgeniya Gospodinova},
   title = {Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {6},
   year = {2019},
   pages = {1927--1935},
   keywords = {web-based application; serverless architecture, heart rate variability; time-domain analysis; frequency-domain analysis; nonlinear analysis.},
   abstract = {This article is devoted to the development of a web-based application for analysis and evaluation of Heart Rate Variability (HRV) using serverless architecture. Advancements in information algorithms and computing technologies have been playing an increasingly important role in cardiology, as continuous monitoring of patients’ health can be vital to their well-being.  One physiological parameter that can be easily measured and that can provide indispensable insight into the state of the human body is the HRV.  HRV analysis can assess not only the physiological state of the body but also provide the capability to monitor its dynamics and predict future diseases. As the research in the sphere of cardiology is constantly growing there is a multitude of new ways to assess the physiological state of patients and provide an early indicator to pathological conditions. Therefore, there is a need to bring these advances to a growing number of end-users (health-care professionals and patients) in the shortest possible time. To address this problem, this study proposes the development of a web-based application for analysis and evaluation of HRV by applying linear and nonlinear mathematical methods. The application is created using a serverless architectural approach, which allows for fast development time, as there is no need to manage server infrastructure, and for automatic scaling to dynamically match the number of requests. The developer can instead focus on implementing the logic for the HRV analysis algorithms and deliver new improvements at a faster rate. The proposed web application can be accessed by any device that is connected to the Internet and is optimized to handle both an intermittent and a consistent volume of requests. The algorithms implemented in the web application have been validated by examining two groups of subjects (young adults and older adults) using linear and non-linear models. The obtained results from the two groups can be compared with a set of reference values (only for the linear methods) and an assessment can be made whether each studied parameter is within the normal range or outside it (its value is too high or too low). To aid the assessment for HRV, the results obtained by the linear and nonlinear analysis are presented using a set of both graphs and tables.},
   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=9804},
   doi = {10.18517/ijaseit.9.6.9804}
}

EndNote

%A Gospodinov, Mitko M.
%A Gospodinova, Evgeniya
%D 2019
%T Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture
%B 2019
%9 web-based application; serverless architecture, heart rate variability; time-domain analysis; frequency-domain analysis; nonlinear analysis.
%! Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture
%K web-based application; serverless architecture, heart rate variability; time-domain analysis; frequency-domain analysis; nonlinear analysis.
%X This article is devoted to the development of a web-based application for analysis and evaluation of Heart Rate Variability (HRV) using serverless architecture. Advancements in information algorithms and computing technologies have been playing an increasingly important role in cardiology, as continuous monitoring of patients’ health can be vital to their well-being.  One physiological parameter that can be easily measured and that can provide indispensable insight into the state of the human body is the HRV.  HRV analysis can assess not only the physiological state of the body but also provide the capability to monitor its dynamics and predict future diseases. As the research in the sphere of cardiology is constantly growing there is a multitude of new ways to assess the physiological state of patients and provide an early indicator to pathological conditions. Therefore, there is a need to bring these advances to a growing number of end-users (health-care professionals and patients) in the shortest possible time. To address this problem, this study proposes the development of a web-based application for analysis and evaluation of HRV by applying linear and nonlinear mathematical methods. The application is created using a serverless architectural approach, which allows for fast development time, as there is no need to manage server infrastructure, and for automatic scaling to dynamically match the number of requests. The developer can instead focus on implementing the logic for the HRV analysis algorithms and deliver new improvements at a faster rate. The proposed web application can be accessed by any device that is connected to the Internet and is optimized to handle both an intermittent and a consistent volume of requests. The algorithms implemented in the web application have been validated by examining two groups of subjects (young adults and older adults) using linear and non-linear models. The obtained results from the two groups can be compared with a set of reference values (only for the linear methods) and an assessment can be made whether each studied parameter is within the normal range or outside it (its value is too high or too low). To aid the assessment for HRV, the results obtained by the linear and nonlinear analysis are presented using a set of both graphs and tables.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9804
%R doi:10.18517/ijaseit.9.6.9804
%J International Journal on Advanced Science, Engineering and Information Technology
%V 9
%N 6
%@ 2088-5334

IEEE

Mitko M. Gospodinov and Evgeniya Gospodinova,"Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, pp. 1927-1935, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.6.9804.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Gospodinov, Mitko M.
AU  - Gospodinova, Evgeniya
PY  - 2019
TI  - Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 6
Y2  - 2019
SP  - 1927
EP  - 1935
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - web-based application; serverless architecture, heart rate variability; time-domain analysis; frequency-domain analysis; nonlinear analysis.
N2  - This article is devoted to the development of a web-based application for analysis and evaluation of Heart Rate Variability (HRV) using serverless architecture. Advancements in information algorithms and computing technologies have been playing an increasingly important role in cardiology, as continuous monitoring of patients’ health can be vital to their well-being.  One physiological parameter that can be easily measured and that can provide indispensable insight into the state of the human body is the HRV.  HRV analysis can assess not only the physiological state of the body but also provide the capability to monitor its dynamics and predict future diseases. As the research in the sphere of cardiology is constantly growing there is a multitude of new ways to assess the physiological state of patients and provide an early indicator to pathological conditions. Therefore, there is a need to bring these advances to a growing number of end-users (health-care professionals and patients) in the shortest possible time. To address this problem, this study proposes the development of a web-based application for analysis and evaluation of HRV by applying linear and nonlinear mathematical methods. The application is created using a serverless architectural approach, which allows for fast development time, as there is no need to manage server infrastructure, and for automatic scaling to dynamically match the number of requests. The developer can instead focus on implementing the logic for the HRV analysis algorithms and deliver new improvements at a faster rate. The proposed web application can be accessed by any device that is connected to the Internet and is optimized to handle both an intermittent and a consistent volume of requests. The algorithms implemented in the web application have been validated by examining two groups of subjects (young adults and older adults) using linear and non-linear models. The obtained results from the two groups can be compared with a set of reference values (only for the linear methods) and an assessment can be made whether each studied parameter is within the normal range or outside it (its value is too high or too low). To aid the assessment for HRV, the results obtained by the linear and nonlinear analysis are presented using a set of both graphs and tables.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9804
DO  - 10.18517/ijaseit.9.6.9804

RefWorks

RT Journal Article
ID 9804
A1 Gospodinov, Mitko M.
A1 Gospodinova, Evgeniya
T1 Implementing a Web-based Application for Analysis and Evaluation of Heart Rate Variability Using Serverless Architecture
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 6
YR 2019
SP 1927
OP 1935
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 web-based application; serverless architecture, heart rate variability; time-domain analysis; frequency-domain analysis; nonlinear analysis.
AB This article is devoted to the development of a web-based application for analysis and evaluation of Heart Rate Variability (HRV) using serverless architecture. Advancements in information algorithms and computing technologies have been playing an increasingly important role in cardiology, as continuous monitoring of patients’ health can be vital to their well-being.  One physiological parameter that can be easily measured and that can provide indispensable insight into the state of the human body is the HRV.  HRV analysis can assess not only the physiological state of the body but also provide the capability to monitor its dynamics and predict future diseases. As the research in the sphere of cardiology is constantly growing there is a multitude of new ways to assess the physiological state of patients and provide an early indicator to pathological conditions. Therefore, there is a need to bring these advances to a growing number of end-users (health-care professionals and patients) in the shortest possible time. To address this problem, this study proposes the development of a web-based application for analysis and evaluation of HRV by applying linear and nonlinear mathematical methods. The application is created using a serverless architectural approach, which allows for fast development time, as there is no need to manage server infrastructure, and for automatic scaling to dynamically match the number of requests. The developer can instead focus on implementing the logic for the HRV analysis algorithms and deliver new improvements at a faster rate. The proposed web application can be accessed by any device that is connected to the Internet and is optimized to handle both an intermittent and a consistent volume of requests. The algorithms implemented in the web application have been validated by examining two groups of subjects (young adults and older adults) using linear and non-linear models. The obtained results from the two groups can be compared with a set of reference values (only for the linear methods) and an assessment can be made whether each studied parameter is within the normal range or outside it (its value is too high or too low). To aid the assessment for HRV, the results obtained by the linear and nonlinear analysis are presented using a set of both graphs and tables.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9804
DO  - 10.18517/ijaseit.9.6.9804