Early detection of Ischaemia Through High Frequency ECGs: The role of Medical-Grade Wearables for Chest Pain Triages

Srinivasan, Arvind; Vijayalakshmi, K; Padmanabhan, Deepak; Prabhavathi,; Shanmugam., K; Gopal, Sugandhi

doi:10.1109/conecct55679.2022.9865756

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Advancements in single-channel ECG technology for the detection of ischemic heart disease demonstrated that machine learning models based on single-lead ECG and pulse wave parameters, along with age and gender, can simplify screening diagnostics of ejection fraction decrease and diastolic dysfunction with high accuracy [37] . Furthermore, high-frequency ECG signals have shown increased sensitivity and early timing in diagnosing cardiac ischemia, and portable high-resolution ECG devices have demonstrated utility in acute emergency settings [43] .…”

Section: Discussionmentioning

confidence: 99%

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Marzoog,

Abdullaev,

Suvorov

et al. 2024

Preprint

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Background: Cardiovascular disease (CVD) such as ischemic heart disease impacts the people quality of life and has the highest mortality rate in the globe. This returns to the poor diagnostic and therapeutic strategies including the early prevention methods. Aims: To assess the changes in the single channel electrocardiography (SCECG) in rest and on exercise test in patients with vs without ischemic heart disease confirmed by stress computed tomography myocardial perfusion (CTP) imaging. Objectives: Ischemic heart disease patients frequently have preventable risk factors and causes that lead to the disease appearance. However, the lack of the proper diagnostic and prevention tools remains a global challenge in or era despite the current scientific advances. Material and methods: A cohort, prospective, single center observational study included 38 participants from Moscow. The participants aged ≥ 40 years and given a written consent to participate in the study. The participants subdivided into two groups according to the presence or absence of the myocardial perfusion defect on the CTP with vasodilatation stress-test. Both groups (group 1 with myocardial perfusion defect (n=19), group 2 without myocardial perfusion defect (n=19)) passed general primary consultation by cardiologist, anthropometric measurements, recording 3-minutes single channel electrocardiography (ECG) in rest before and just after exercise test, blood pressure and pulse rate using automatic tonometer, echocardiography, cardio-ankle vascular index, performing ergometry, immediately repeating the single channel ECG, then performing CTP. LASSO regression with nested cross-validation was used to find association between Cardio-Qvark parameters and the existence of the perfusion defect. Statistical processing was carried out using the R programming language v4.2 and Python v.3.10 [^R]. Results: The study results showed that the single channel ECG have significantly higher diagnostic accuracy in compare to bicycle ergometry. The specificity 63.2 % [95 % confidence interval (CI); 0.391 ; 0.833], sensitivity 73.7 % [95 % CI ; 0.533 ; 0.929], and accuracy of the diagnostic method using exhaled breath analysis, area under the curve (AUC) 68.4 % [95 % CI ; 0.527 ; 0.817]. Conclusion: Single channel ECG (Cardio-Qvark) has the potential to improve the diagnostic accuracy of the bicycle ergometry. Other: Further investigations required to uncover the hidden capabilities of Cardio-Qvark in the diagnosis of ischemic heart disease.

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Section: Discussionmentioning

confidence: 99%

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Marzoog,

Abdullaev,

Suvorov

et al. 2024

Preprint

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“…Advancements in single-channel ECG technology for the detection of ischemic heart disease demonstrated that machine learning models based on single-lead ECG and pulse wave parameters, along with age and gender, can simplify screening diagnostics of ejection fraction decrease and diastolic dysfunction with high accuracy [41]. Furthermore, high-frequency ECG signals have shown increased sensitivity and early timing in diagnosing cardiac ischemia, and portable high-resolution ECG devices have demonstrated utility in acute emergency settings [42].…”

Section: Discussionmentioning

confidence: 99%

CARDIO-QVARK Diagnose Ischemic Myocardiocyte!

Marzoog,

Chomakhidze,

Suvorov

et al. 2024

Preprint

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BackgroundIschemic heart disease (IHD) has the highest mortality rate in the globe. This returns to the poor diagnostic and therapeutic strategies including the early prevention methods.AimsTo assess the changes in the single channel electrocardiography (SCECG) at rest and on exercise test in patients with vs without IHD confirmed by stress computed tomography myocardial perfusion (CTP) imaging with vasodilatation stress-test.ObjectivesIHD frequently have preventable risk factors and causes that lead to the disease appearance. However, the lack of the proper diagnostic and prevention tools remains a global challenge in or era despite the current scientific advances.Material and methodsA single center observational study included 80 participants from Moscow. The participants aged ≥ 40 years and given a written consent to participate in the study. Both groups, G1=31 with vs G2=49 without post stress induced myocardial perfusion defect, passed cardiologist consultation, anthropometric measurements, blood pressure and pulse rate, echocardiography, cardio-ankle vascular index, performing bicycle ergometry, recording 3-minutes SCECG (using CARDO-QVARK) before and just after bicycle ergometry, and then performing CTP. The LASSO regression with nested cross-validation was used to find association between CARDO-QVARK parameters and the existence of the perfusion defect. Statistical processing carried out using the R programming language v4.2, Python v.3.10 [^R], and Statistica 12 programme.ResultsThe CARDO-QVARK parameters analysis have a specificity 75.5 % [95 % confidence interval (CI); 0.628; 0.88], sensitivity 51.6 % [95 % CI; 0.333; 0.695], area under the curve (AUC) 67 % [95 % CI; 0.530; 0.801] in compare to bicycle ergometry AUC; 50.7 % [95 % CI; 0.388; 0.625], specificity 53.1 % [95 % CI; 0.392; 0.673], sensitivity 48.4 % [95 % CI; 0.306; 0.657], based on our study results.ConclusionThe SCECG have no statistically significant higher diagnostic accuracy in compare to bicycle ergometry. However, CARDO-QVARK has the potential to improve the diagnostic accuracy of the bicycle ergometry.OtherFurther investigations required to uncover the hidden capabilities of CARDO-QVARK in the diagnosis of ischemic heart disease.

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Early detection of Ischaemia Through High Frequency ECGs: The role of Medical-Grade Wearables for Chest Pain Triages

Cited by 2 publications

References 16 publications

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

CARDIO-QVARK Diagnose Ischemic Myocardiocyte!

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