Abstract
To date, continuous dynamic monitoring of the cardiovascular system is relevant for improvement of the quality of diagnosis of cardiac diseases. The equipment available for continuous cardiac monitoring operates in the standard frequency range, has a low resolution, and contains filters that limit signals in low and high frequencies. The development of wearable devices and high-resolution methods for dynamic cardiac monitoring to record signals in the range from 0 to 3500 Hz without filtering and averaging is of high priority. In addition, this will allow us to obtain new data on the atria and ventricles of the heart and to detect cardiovascular diseases at an early stage. A wearable hardware and software complex based on nanosensors was developed, and preliminary technical tests of the complex were carried out. An algorithm and a program were developed to detect micropotentials over the entire duration of the ECG signal except for the waves of cardiac pulses and sharp peaks in signal processing. Histograms were built for quantitative evaluation of micropotentials, and the total energy of micropotentials was calculated. Preliminary medical studies were carried out on volunteers.
| Original language | English |
|---|---|
| Article number | 12029 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1327 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 9 Oct 2019 |
| Event | 5th International Conference on Innovations in Non-Destructive Testing SibTest 2019, NDTS 2019 - Yekaterinburg, Russian Federation Duration: 26 Jun 2019 → 28 Jun 2019 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Wearable nanosensor-based hardware and software complex for dynamic cardiac monitoring. / Ivanov, M. L.; Enshin, S. I.; Avdeeva, D. K.; Yuzhakov, M. M.; Kodermyatov, R. E.; Tsoi, E. I.
In: Journal of Physics: Conference Series, Vol. 1327, No. 1, 12029, 09.10.2019.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Wearable nanosensor-based hardware and software complex for dynamic cardiac monitoring
AU - Ivanov, M. L.
AU - Enshin, S. I.
AU - Avdeeva, D. K.
AU - Yuzhakov, M. M.
AU - Kodermyatov, R. E.
AU - Tsoi, E. I.
PY - 2019/10/9
Y1 - 2019/10/9
N2 - To date, continuous dynamic monitoring of the cardiovascular system is relevant for improvement of the quality of diagnosis of cardiac diseases. The equipment available for continuous cardiac monitoring operates in the standard frequency range, has a low resolution, and contains filters that limit signals in low and high frequencies. The development of wearable devices and high-resolution methods for dynamic cardiac monitoring to record signals in the range from 0 to 3500 Hz without filtering and averaging is of high priority. In addition, this will allow us to obtain new data on the atria and ventricles of the heart and to detect cardiovascular diseases at an early stage. A wearable hardware and software complex based on nanosensors was developed, and preliminary technical tests of the complex were carried out. An algorithm and a program were developed to detect micropotentials over the entire duration of the ECG signal except for the waves of cardiac pulses and sharp peaks in signal processing. Histograms were built for quantitative evaluation of micropotentials, and the total energy of micropotentials was calculated. Preliminary medical studies were carried out on volunteers.
AB - To date, continuous dynamic monitoring of the cardiovascular system is relevant for improvement of the quality of diagnosis of cardiac diseases. The equipment available for continuous cardiac monitoring operates in the standard frequency range, has a low resolution, and contains filters that limit signals in low and high frequencies. The development of wearable devices and high-resolution methods for dynamic cardiac monitoring to record signals in the range from 0 to 3500 Hz without filtering and averaging is of high priority. In addition, this will allow us to obtain new data on the atria and ventricles of the heart and to detect cardiovascular diseases at an early stage. A wearable hardware and software complex based on nanosensors was developed, and preliminary technical tests of the complex were carried out. An algorithm and a program were developed to detect micropotentials over the entire duration of the ECG signal except for the waves of cardiac pulses and sharp peaks in signal processing. Histograms were built for quantitative evaluation of micropotentials, and the total energy of micropotentials was calculated. Preliminary medical studies were carried out on volunteers.
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U2 - 10.1088/1742-6596/1327/1/012029
DO - 10.1088/1742-6596/1327/1/012029
M3 - Conference article
AN - SCOPUS:85075025838
VL - 1327
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 12029
ER -