Statistically Based Criteria for Complex ECG Signal Assessment at Preventive Cardio Control

Manukova, Aneliya; Georgiev, Ivan; Marinov, Matey

doi:10.1145/3407982.3407985

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The development and implementation of effective methods in medicine is significant for improving the accuracy of obtained results and medical conclusions. This results in the initiation of activities at national, European and global scale, and a focus on the development of complex scientific methods, models, algorithms and systems [1], [2], [3]. The created innovative system for e-Health and prevention through the application of electronic modeling responds to this dynamic of development, is related to people's health to achieve a better lifestyle and is aimed at prevention of momentary loads.…”

Section: Introductionmentioning

confidence: 99%

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

Manukova

2024

TEM Journal

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The study presents a developed and implemented innovative system for electronic health care and prevention, using a complex assessment of momentary disturbances in the electrocardiographic signals, and through reasonable modeling and quantitative digital analyzes to diagnose people after physical, emotional or rehabilitation stress. The priorities of e-health and its main structures are discussed, as well as an analysis of the systemic characteristics of e-health and services. Adapted methods for the evaluation of electrocardiographic signals are proposed, which are statistically studied and applicable in practice for prevention. The developed innovative system for electronic health care and prevention through the analysis of electrocardiographic signals provides quantitative and qualitative assessments of the current state of the heart system in prevention for the purpose of health safety during exercise and training. The electronic health system has been implemented at the University of Ruse in the training of midwives, nurses and electronics engineers.

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Section: Introductionmentioning

confidence: 99%

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

Manukova

2024

TEM Journal

View full text Add to dashboard Cite

show abstract

Statistically Based Criteria for Complex ECG Signal Assessment at Preventive Cardio Control

Cited by 1 publication

References 7 publications

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

Application of the Innovative System for е-Health Care and Prevention by the Evaluation and Analysis of ECG Signals

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