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[[File:System_SATRO-EKG.jpg|thumb|right|250px|SATRO-ECG System]]
{{Short description|A method for analyzing electrocardiograms}}


'''SATRO-EKG''' - a [[computer program]] analysing electro-cardiology signals. It is based on the [[SFHAM|SFHAM model]]. It facilitates the evaluation of electrical activity of myocardium, and therefore, early detection of [[coronary heart disease|ischemic changes in the heart]].
== SATRO-ECG ==


==Reference tests==
'''SATRO-ECG''' is a specialized method used in the analysis of [[electrocardiogram|electrocardiograms]] (ECGs). This technique is designed to enhance the diagnostic capabilities of standard ECGs by providing more detailed information about the electrical activity of the [[heart]].


The reference tests of the SATRO-ECG method in relation to [[SPECT|perfusive scintigraphy SPECT]] conducted in Military Medical Institute in [[Warsaw]] and [[Medical University of Wroclaw]] proved the possibility to use this method to detect [[coronary heart disease|coronary heart disease (CHD)]].  A very high [[Sensitivity and specificity]] in detecting this disease were obtained.
== Overview ==


Sensitivity (Se), specificity (Sp), [[Positive predictive value|predictive value of positive values results]] (PV(+)) and [[Negative predictive value|negative values results]] (PV(-)) are presented in the grid below:
The SATRO-ECG system is an advanced tool that utilizes sophisticated algorithms to interpret the electrical signals captured during an ECG. Unlike traditional ECG analysis, which primarily focuses on the visual interpretation of waveforms, SATRO-ECG employs computational methods to extract additional data from the ECG signals. This can lead to improved detection of [[cardiac arrhythmia|arrhythmias]], [[myocardial infarction|myocardial infarctions]], and other cardiac abnormalities.


{| class="wikitable"
== Technology ==
|-
! Reference tests !! Se[%] !! Sp[%] !! PV(+)[%] !! PV(-)[%]
|-
| '''SATRO-ECG – SPECT (rest)''' || 100 || 74 || 86 || 100
|-
| '''SATRO-ECG – SPECT (exercise)''' || 100 || 83 || 92 || 100
|}


Comparison of SATRO-ECG results - [[SPECT]] (exercise) for particular parts of the cardiac muscle is presented in the grid below: {{r|p1}}
SATRO-ECG technology integrates with standard ECG machines, allowing for seamless incorporation into existing clinical workflows. The system processes the raw ECG data and applies its proprietary algorithms to generate a detailed report. This report includes information on the [[heart rate]], [[heart rhythm]], and other critical parameters that are essential for diagnosing cardiac conditions.


{| class="wikitable"
== Applications ==
|-
!  !! IS !! AW !! IW !! LW
|-
| '''Se[%]''' || 98 || 93 || 97 || 89
|-
| '''Sp[%]''' || 90 || 90 || 84 || 93
|-
| '''PV(+)[%]''' || 70 || 81 || 89 || 77
|-
| '''PV(-)[%]''' || 98 || 96 || 95 || 97
|}


:where: IS - ''[[interventricular septum]]'', AW - ''[[Anterior wall of heart|anterior wall]]'', IW - ''[[Diaphragmatic surface of heart|inferior wall]]'', LW - ''lateral wall''.
The primary application of SATRO-ECG is in the field of [[cardiology]], where it aids in the early detection and diagnosis of heart diseases. It is particularly useful in identifying subtle changes in the ECG that may not be apparent through conventional analysis. This makes it a valuable tool in both emergency settings and routine cardiac evaluations.


The results of the tests prove a high correlation the between SATRO-ECG results and [[SPECT]] in the case of detection of [[coronary heart disease|coronary heart disease (CHD)]] {{r|p1}}
== Advantages ==


==Usage==
One of the main advantages of SATRO-ECG is its ability to provide a more comprehensive analysis of the heart's electrical activity. This can lead to earlier detection of potential issues, allowing for timely intervention and treatment. Additionally, the system's integration with existing ECG machines means that it can be easily adopted by healthcare facilities without the need for significant changes to their current equipment.
An advantage of this method is a fast and precise analysis of the ECG results in the rest, which enables:
* easy and safe measurement
* detection of ischemic heart disease with very high diagnostic sensitivity and specificity
* early prevention of the coronary disease, objective and not only statistical risk validation 
* monitoring of the effects of the treatment and early classifying patients to reference tests, e.g. [[Percutaneous coronary intervention|PTCA]], [[SPECT]], etc.
* analysing the efficiency of particular biologically active substances (farmacology, [[Nutraceutical|nutriceutics]], [[dietary supplement]]s) and other methods (e.g. physical medicine)


The method is a diagnostic element of the Program of Universal Prevention and Therapy of Ischemic Heart Disease in the international project developed for United Nations Economic and Social Council {{r|p2}}.
== Limitations ==


==Bibliography==
While SATRO-ECG offers many benefits, it is not without limitations. The accuracy of the system is dependent on the quality of the ECG data it receives. Poor electrode placement or patient movement during the ECG can affect the results. Furthermore, the system requires trained personnel to interpret the detailed reports it generates.
* Janicki J. Physical Basis of Satro – A New Method For Analysis of The Cardiac Muscle Depolarisation. Los Alamos National Laboratory, s. 1-43, 2006, arXiv:physics/0602162v2 [physics.med-ph]  {{r|p3}}
* Janicki JS, Leoński W,  Jagielski J. Partial potentials of selected cardiac muscle regions and heart activity model based on single fibres. Medical Engineering & Physics, 31 (2009) 1276-1282 {{r|p4}}
* Janicki JS, Leoński W, Jagielski J, Sobieszczańska M, Chąpiński M, Janicki Ł. Single Fibre Based Heart Activity Model (SFHAM) Based Qrs-Waves Synthesis. W: Sobieszczańska M, Jagielski J, Macfarlane PW, editors. Electrocardiology 2009. JAKS Publishing Company; 2010. p. 81-86, {{ISBN|978-83-928209-5-6}} {{r|p1}}
* Janicki JS, Leoński W, Jagielski J, Sobieszczańska M, Leońska JG. Implementation of SFHAM in Coronary Heart Disease Diagnosis. W: Sobieszczańska M, Jagielski J, Macfarlane PW, editors. Electrocardiology 2009. JAKS Publishing Company; 2010. p. 197-201, {{ISBN|978-83-928209-5-6}} {{r|p1}}
* Janicki J. Physical foundations of the SATRO method. PIW Primax Medic,  p. 1-71, 2006,  {{LCCN|2006356427}};  {{ISBN|83-60007-10-1}}  {{r|p5}}


== References ==
== Future Developments ==
{{Reflist|refs=
<ref name="p1">[http://alpha.bn.org.pl/search*pol/i?SEARCH=9788392820956 Electrocardiology 2009]</ref>
<ref name="p2">[https://www.un.org/ecococ/csonet/ Forum of Projects for Public Health of the UN]</ref>
<ref name="p3">[https://arxiv.org/abs/physics/0602162 Janicki J. Physical Basis of Satro - A New Method For Analysis of The Cardiac Muscle Depolarisation], arXiv:physics/0602162v2 physics.med-ph,</ref>
<ref name="p4">[http://www.medengphys.com/article/S1350-4533(09)00182-9/abstract Janicki JS, W. Leoński W, Jagielski J. Partial potentials of selected cardiac muscle regions and heart activity model based on single fibres],  Medical Engineering & Physics</ref> 
<ref name="p5">Janicki J. Physical foundations of the SATRO method, {{ISBN|83-60007-10-1}}, {{LCCN|2006356427}}</ref>
}}


==External links==
Research and development in the field of ECG analysis continue to evolve, with ongoing efforts to enhance the capabilities of systems like SATRO-ECG. Future advancements may include improved algorithms for even more accurate detection of cardiac conditions and the integration of artificial intelligence to assist in the interpretation of complex data.
* [http://www.satro.pl SATRO-ECG method web page ] ''(english)''
 
* [http://www.ibf.com.pl Instytut Badań Fizykomedycznych] The [[Institute for Physico-Medical Research]] web page ''(polish)''
== Related pages ==
 
* [[Electrocardiography]]
* [[Cardiology]]
* [[Heart disease]]
* [[Arrhythmia]]
* [[Myocardial infarction]]


[[Category:Cardiology]]
[[Category:Cardiology]]
[[Category:Electrodiagnosis]]
[[Category:Medical technology]]
[[Category:Science and technology in Poland]]

Latest revision as of 19:15, 22 March 2025

A method for analyzing electrocardiograms


SATRO-ECG[edit]

SATRO-ECG is a specialized method used in the analysis of electrocardiograms (ECGs). This technique is designed to enhance the diagnostic capabilities of standard ECGs by providing more detailed information about the electrical activity of the heart.

Overview[edit]

The SATRO-ECG system is an advanced tool that utilizes sophisticated algorithms to interpret the electrical signals captured during an ECG. Unlike traditional ECG analysis, which primarily focuses on the visual interpretation of waveforms, SATRO-ECG employs computational methods to extract additional data from the ECG signals. This can lead to improved detection of arrhythmias, myocardial infarctions, and other cardiac abnormalities.

Technology[edit]

SATRO-ECG technology integrates with standard ECG machines, allowing for seamless incorporation into existing clinical workflows. The system processes the raw ECG data and applies its proprietary algorithms to generate a detailed report. This report includes information on the heart rate, heart rhythm, and other critical parameters that are essential for diagnosing cardiac conditions.

Applications[edit]

The primary application of SATRO-ECG is in the field of cardiology, where it aids in the early detection and diagnosis of heart diseases. It is particularly useful in identifying subtle changes in the ECG that may not be apparent through conventional analysis. This makes it a valuable tool in both emergency settings and routine cardiac evaluations.

Advantages[edit]

One of the main advantages of SATRO-ECG is its ability to provide a more comprehensive analysis of the heart's electrical activity. This can lead to earlier detection of potential issues, allowing for timely intervention and treatment. Additionally, the system's integration with existing ECG machines means that it can be easily adopted by healthcare facilities without the need for significant changes to their current equipment.

Limitations[edit]

While SATRO-ECG offers many benefits, it is not without limitations. The accuracy of the system is dependent on the quality of the ECG data it receives. Poor electrode placement or patient movement during the ECG can affect the results. Furthermore, the system requires trained personnel to interpret the detailed reports it generates.

Future Developments[edit]

Research and development in the field of ECG analysis continue to evolve, with ongoing efforts to enhance the capabilities of systems like SATRO-ECG. Future advancements may include improved algorithms for even more accurate detection of cardiac conditions and the integration of artificial intelligence to assist in the interpretation of complex data.

Related pages[edit]

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