Spectral Processing of Bioelectric Signals

Zaichenko, Kirill V.; Gurevich, Boris

doi:10.1007/s10527-021-10062-6

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Thus, UHR ECG holds the advantage of accurately detecting all conventional characteristics of ECG while providing additional indispensable information primarily derived from low-voltage and high-frequency (HF) components of cardiac electrical activity (Figure 1a). The method of UHR ECG incorporates detailed spectral and correlation analysis of cardiac potentials [21,22]. After amplification, cardiac electrical signal from the electrodes is subdivided into low-frequency (LF) and HF components according to predefined borderline values of low (f l ) and upper (f u ) frequency in the corresponding LF and HF channels (Figure 1b).…”

Section: Registration Of Uhr Ecg and Signal Processingmentioning

confidence: 99%

Ultra-High-Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Zaichenko,

Kordyukova,

Sonin

et al. 2023

Diagnostics

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The sensitivity of exercise ECG is marginally sufficient for the detection of mild reduction of coronary blood flow in patients with early coronary atherosclerosis. Here, we describe the application of a new technique of ECG registration/analysis—ultra-high-resolution ECG (UHR ECG)—for early detection of myocardial ischemia (MIS). The utility of UHR ECG vs. conventional ECG (C ECG) was tested in anesthetized rats and pigs. Transmural MIS was induced in rats by the ligation of the left coronary artery (CA). In pigs, subendocardial ischemia of a variable extent was produced by stepwise inflation of a balloon within the right CA, causing a 25–100% reduction of its lumen. In rats, a reduction in power spectral density (PSD) in the high-frequency (HF) channel of UHR ECG was registered at 60 s after ischemia (power 0.81 ± 0.14 vs. 1.25 ± 0.12 mW at baseline, p < 0.01). This was not accompanied by any ST segment elevation on C ECG. In pigs, PSD in the HF channel of UHR ECG was significantly decreased at a 25% reduction of CA lumen, while the ST segment on C ECG remained unchanged. In conclusion, UHR ECG enabled earlier detection of transmural MIS compared to C ECG. PSD in the HF channel of UHR ECG demonstrated greater sensitivity in the settings of subendocardial ischemia.

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Section: Registration Of Uhr Ecg and Signal Processingmentioning

confidence: 99%

Ultra-High-Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Zaichenko,

Kordyukova,

Sonin

et al. 2023

Diagnostics

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“…В конвольвере Монтгомери [13] предусмотрен ввод радиочастотных сигналов s 1 (t) в соответствующие две ячейки Брэгга, для формирования их свертки в соответствии с формулой (1). Это дало возможность [15] предложить авторскую реализацию вейвлет-преобразования биоэлектрического сигнала, заключающуюся в амплитудной модуляции двух радиочастотных несущих в ячейках Брэгга (рис.…”

Section: обработка бэс акустооптическими устройствами с временным инт...unclassified

“…В частности обработка БЭС должна обеспечивать надежную диагностику сердечно-сосудистых заболеваний, а также патологий головного мозга и центральной нервной системы. Эта задача может быть решена на основе использования инструментальной электрофизиологии сверхвысокого разрешения (СВР) -нового авторского метода изучения электрической активности клеток, тканей и органов живых систем [1]. Метод основан на извлечении максимально возможного объема полезной информации о состоянии исследуемого объекта и включает в себя две основные составные части СВР: метод электрокардиографии (ЭКГ), обеспечивающий изучение тонкой структуры электрокардиосигналов (ЭКС) [2], а также метод электроэнцефалографии для детальных исследований электроэнцефалографических сигналов [3] К современным и перспективным методам фотоники обработки БЭС, для которых сегодня применяется термин «биорадиофотоника», следует отнести такие методы как оптическую и акустооптическую обработки этих сигналов.…”

Section: Introductionunclassified

Application of bioradiophotonics methods for the processing of bioelectric signals

Gurevich¹,

Rogov²,

Kordyukova³

et al. 2022

Naučno-teh. vestn. inf. tehnol. meh. opt.

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The application of modern and perspective bioradiophotonics methods on the basis of optical and acousto-optic devices for the processing of bioelectric signals (BES) have been considered. The basic application difficulties of these methods are connected with the fact that the studied signals are of low frequencies, and development of special actions are required for the processing devices adapting. It has been proposed to introduce into acousto-optic processing system with time integration the bioelectric signals using method of high frequency carrier with linear frequency modulation which is modulated by low frequency signal. The system configuration has to provide the realization of convolution procedure; hence, the used Bragg cells must be oriented oppositely to each other. The performed analysis has shown that it is possible to realize both signal power spectrum calculation and its wavelet transform; the presence of carrier is obligatory for both kinds of processing. Also, the method of the preliminary BES compression has been proposed for its transmission into the high frequency area. In this case, the possibility occurs to introduce the signal into the acoustooptic processing system with spatial integration. In the simple acousto-optic correlator with the reference transparency the envelope of the correlation function is formed depending on time. Using the set of the reference transparencies in the multichannel correlator, it is possible to realize the prolonged BES wavelet analysis using the mother wavelet. The optical preliminary BES processing can be also performed using liquid crystal arrays. The analysis of the processing of electrocardiac signals obtained from the experimental animals (rats) has been listed using the liquid crystal array for the signal introduction into optical processing system. It has been shown that both spectral and wavelet processing can be realized in this case without using of the high frequency carrier by the low frequency signal. The use of the obtained results will make it possible to create a new family of devices for wavelet processing of bioelectrical signals implemented in real time which will make an important contribution to improving the diagnosis of diseases of the cardiovascular system, the cortex, and the central nervous system.

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Ultra-High Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Zaichenko¹,

Kordyukova²,

Sonin³

et al. 2023

Preprint

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The sensitivity of exercise ECG is marginally sufficient for detection of mild reduction of coronary blood flow in patients with early coronary atherosclerosis. Here we describe the application of new technique of ECG registration/analysis – ultrahigh resolution ECG (UHR ECG) – for early detection of myocardial ischemia (MIS). The utility of UHR ECG vs. conventional ECG (C ECG) was tested in anesthetized rats and pigs. Transmural MIS was induced in rats by the ligation of the left coronary artery (CA). In pigs, subendocardial ischemia of variable extent was produced by stepwise inflation of balloon within the right CA causing 25-100% reduction of its lumen. In rats, a reduction in power spectral density (PSD) in high-frequency (HF) channel of UHR ECG was registered at 60 s after ischemia (power 0.81±0.14 vs. 1.25±0.12 mW at baseline, p<0.01). This was not accompanied by any ST segment elevation on C ECG. In pigs, PSD in HF channel of UHR ECG was significantly decreased at 25% reduction of CA lumen, while ST segment on C ECG remained unchanged. In conclusion, UHR ECG enabled earlier detection of transmural MIS compared to C ECG. PSD in HF-channel of UHR ECG demonstrated greater sensitivity in the settings of subendocardial ischemia.

show abstract

Spectral Processing of Bioelectric Signals

Cited by 3 publications

References 5 publications

Ultra-High-Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Ultra-High-Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Application of bioradiophotonics methods for the processing of bioelectric signals

Ultra-High Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

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