Application of remote mobile monitoring using the “ECG-DONGLE” electrocardiograph in patients with chronic heart failure

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Abstract

The urgency of remote monitoring of the patient’s condition, early diagnosis, and timely detection of precursors of deterioration during chronic heart failure using the telemonitoring systems is substantiated. We examined 10 patients (4 women and 6 men aged 64 ± 12 years) suffering from a heart failure with a high risk of adverse outcomes, the mean left ventricular ejection fraction was 34.4% (32.1%; 37.6%), as well as 10 healthy men (control group, mean age 21 ± 3 years). Each participant was provided with a home monitoring and communication kit (tablet computer with the Internet access, mobile ECG-Dongle electrocardiograph). Also, an individual plan for the treatment of heart failure and associated diseases was developed for the participants. The resulting image using a mobile electrocardiograph “ECG-Dongle” fully corresponds to the data of a stationary 12-lead electrocardiograph. The use of monitoring the electrocardiogram using a remote access solves the problem of timely personalized identification of predictors of deterioration in the patient’s circulatory system, while helping to identify a possible cause of destabilization of the course of heart failure, which contributes to the timely correction of the therapy in the early stages. Mobile computing technologies for a remote access, data transfer, and information processing are now being introduced in telemonitoring systems. The remote rehabilitation monitoring system based on the mobile communication could be used as an auxiliary model of outpatient care in the management of patients suffering from a chronic heart failure. We believe that by using such systems, work with the patient could be more effective, namely, self-control of behavior and improved quality of life, which in turn, could lead to a decrease in the rate of the repeated hospitalizations and mortality of the patients suffering from a chronic heart failure.

About the authors

Dmitriy S. Frolov

Military Medical Academy named after S.M. Kirov of the Ministry of Defense of the Russian Federation

Author for correspondence.
Email: froloff_82@mail.ru
ORCID iD: 0000-0002-4625-2671
SPIN-code: 4089-0078
Scopus Author ID: 48761185800

candidate of medical sciences

Russian Federation, Saint Petersburg

Vladimir V. Salukhov

Military Medical Academy named after S.M. Kirov of the Ministry of Defense of the Russian Federation

Email: vlasaluk@yandex.ru
ORCID iD: 0000-0003-1851-0941
SPIN-code: 4531-6011
Scopus Author ID: 55804184100

doctor of medical sciences, доцент

Russian Federation, Saint Petersburg

Elizaveta A. Izilyaeva

Military Medical Academy named after S.M. Kirov of the Ministry of Defense of the Russian Federation

Email: izi_li55@bk.ru
ORCID iD: 0000-0003-2756-8686
SPIN-code: 1311-5535
Russian Federation, Saint Petersburg

Ivan A. Stepanenko

Military Medical Academy named after S.M. Kirov of the Ministry of Defense of the Russian Federation

Email: icetp@rambler.ru
ORCID iD: 0000-0001-6436-5656
SPIN-code: 9174-8800
ResearcherId: Q-4709-2017

candidate of medical sciences

Russian Federation, Saint Petersburg

Tatyana S. Sveklina

Military Medical Academy named after S.M. Kirov of the Ministry of Defense of the Russian Federation

Email: sveklina@rambler.ru
ORCID iD: 0000-0001-9546-7049
SPIN-code: 3561-6503
Scopus Author ID: 3700129990

candidate of medical sciences

Russian Federation, Saint Petersburg

References

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  4. Gromyko GA, Kryukov EV. Sudden cardiac death in patients with postinfarction cardiosclerosis and an implanted cardioverter-defibrillator – is further risk stratification necessary? Bulletin of the Russian Military Medical Academy. 2017;3(59):228–231. (In Russ).
  5. Oynotkinova OSh, Ermakov NA, Shklovsky BL, еt al. The role of technogenic factors in the development of cardiovascular diseases. Kremlin Medicine Clinical Bulletin. 2019;4:37–44. doi: 10.26269/5cvy-tz32
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Supplementary files

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2. Fig. 1. ECG-device «ECG-Dongle», 4 electrodes

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3. Fig. 2. ECG-device «ECG-Dongle full», 12 electrodes

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4. Fig. 3. Patient B., 20 years old. ECG recorded by a stationary electrocardiograph: Р — 80 ms, P–Q — 160 ms, QRS — 90 ms, Q–Т — 420 ms. Sinus rhythm, normal position of the electrical axis of the heart

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5. Fig. 4. Patient B., 20 years old. ECG recorded by a device «ECG-Dongle»: Р — 80 ms, P–Q — 160 ms, QRS — 90 ms, Q–Т — 420 ms. Sinus rhythm, normal position of the electrical axis of the heart

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6. Fig. 5. Patient I., 56 years old. Atrial fibrillation paroxysm was recorded on the ECG recorded by the mobile ECG device “ECG-Dongle full”

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7. Fig. 6. Patient K., 72 years old. Atrial flutter rhythm, irregular shape with atrioventricular (AV) conduction 2:1—4:1. EOS is deflected sharply to the left. Anterior branch block of the left bundle branch

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8. Fig. 7. Patient S., 67 years old. Sinus rhythm. EOS normal position. Single concordant basal ventricular premature beats

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9. Fig. 8. Patient E., 50 years old. Sinus rhythm. EOS normal position. Single monotopic, monomorphic right ventricular premature beats

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10. Fig. 9. Algorithm for using a mobile ECG monitoring system in cardiac patient with CHF. MEO — Medical emergency onboard

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Copyright (c) 2021 Frolov D.S., Salukhov V.V., Izilyaeva E.A., Stepanenko I.A., Sveklina T.S.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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