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Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG
AIMS: To investigate the potential of a signal processed by smartphone-case based on single lead electrocardiogram (ECG) for left ventricular diastolic dysfunction (LVDD) determination as a screening method. METHODS AND RESULTS: We included 446 subjects for sample learning and 259 patients for sampl...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421020/ https://www.ncbi.nlm.nih.gov/pubmed/36046179 http://dx.doi.org/10.1177/11795468221120088 |
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author | Kuznetsova, Natalia Gubina, Anastasiia Sagirova, Zhanna Dhif, Ines Gognieva, Daria Melnichuk, Anna Orlov, Oleg Syrkina, Elena Sedov, Vsevolod Chomakhidze, Petr Saner, Hugo Kopylov, Philippe |
author_facet | Kuznetsova, Natalia Gubina, Anastasiia Sagirova, Zhanna Dhif, Ines Gognieva, Daria Melnichuk, Anna Orlov, Oleg Syrkina, Elena Sedov, Vsevolod Chomakhidze, Petr Saner, Hugo Kopylov, Philippe |
author_sort | Kuznetsova, Natalia |
collection | PubMed |
description | AIMS: To investigate the potential of a signal processed by smartphone-case based on single lead electrocardiogram (ECG) for left ventricular diastolic dysfunction (LVDD) determination as a screening method. METHODS AND RESULTS: We included 446 subjects for sample learning and 259 patients for sample test aged 39 to 74 years for testing with 2D-echocardiography, tissue Doppler imaging and ECG using a smartphone-case based single lead ECG monitor for the assessment of LVDD. Spectral analysis of ECG signals (spECG) has been used in combination with advanced signal processing and artificial intelligence methods. Wavelengths slope, time intervals between waves, amplitudes at different points of the ECG complexes, energy of the ECG signal and asymmetry indices were analyzed. The QTc interval indicated significant diastolic dysfunction with a sensitivity of 78% and a specificity of 65%, a Tpeak parameter >590 ms with 63% and 58%, a T value off >695 ms with 63% and 74%, and QRSfi > 674 ms with 74% and 57%, respectively. A combination of the threshold values from all 4 parameters increased sensitivity to 86% and specificity to 70%, respectively (OR 11.7 [2.7-50.9], P < .001). Algorithm approbation have shown: Sensitivity—95.6%, Specificity—97.7%, Diagnostic accuracy—96.5% and Repeatability—98.8%. CONCLUSION: Our results indicate a great potential of a smartphone-case based on single lead ECG as novel screening tool for LVDD if spECG is used in combination with advanced signal processing and machine learning technologies. |
format | Online Article Text |
id | pubmed-9421020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94210202022-08-30 Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG Kuznetsova, Natalia Gubina, Anastasiia Sagirova, Zhanna Dhif, Ines Gognieva, Daria Melnichuk, Anna Orlov, Oleg Syrkina, Elena Sedov, Vsevolod Chomakhidze, Petr Saner, Hugo Kopylov, Philippe Clin Med Insights Cardiol Original Research AIMS: To investigate the potential of a signal processed by smartphone-case based on single lead electrocardiogram (ECG) for left ventricular diastolic dysfunction (LVDD) determination as a screening method. METHODS AND RESULTS: We included 446 subjects for sample learning and 259 patients for sample test aged 39 to 74 years for testing with 2D-echocardiography, tissue Doppler imaging and ECG using a smartphone-case based single lead ECG monitor for the assessment of LVDD. Spectral analysis of ECG signals (spECG) has been used in combination with advanced signal processing and artificial intelligence methods. Wavelengths slope, time intervals between waves, amplitudes at different points of the ECG complexes, energy of the ECG signal and asymmetry indices were analyzed. The QTc interval indicated significant diastolic dysfunction with a sensitivity of 78% and a specificity of 65%, a Tpeak parameter >590 ms with 63% and 58%, a T value off >695 ms with 63% and 74%, and QRSfi > 674 ms with 74% and 57%, respectively. A combination of the threshold values from all 4 parameters increased sensitivity to 86% and specificity to 70%, respectively (OR 11.7 [2.7-50.9], P < .001). Algorithm approbation have shown: Sensitivity—95.6%, Specificity—97.7%, Diagnostic accuracy—96.5% and Repeatability—98.8%. CONCLUSION: Our results indicate a great potential of a smartphone-case based on single lead ECG as novel screening tool for LVDD if spECG is used in combination with advanced signal processing and machine learning technologies. SAGE Publications 2022-08-23 /pmc/articles/PMC9421020/ /pubmed/36046179 http://dx.doi.org/10.1177/11795468221120088 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Kuznetsova, Natalia Gubina, Anastasiia Sagirova, Zhanna Dhif, Ines Gognieva, Daria Melnichuk, Anna Orlov, Oleg Syrkina, Elena Sedov, Vsevolod Chomakhidze, Petr Saner, Hugo Kopylov, Philippe Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title | Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title_full | Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title_fullStr | Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title_full_unstemmed | Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title_short | Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG |
title_sort | left ventricular diastolic dysfunction screening by a smartphone-case based on single lead ecg |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421020/ https://www.ncbi.nlm.nih.gov/pubmed/36046179 http://dx.doi.org/10.1177/11795468221120088 |
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