Choice of Wavelet Filtering Parameters for Processing Fetal Phonocardiograms with High Noise Level

Zhdanov, Dmitry; Zemlyakov, Ivan; Kosteley, Yana; Bureev, A. Sh.

doi:10.1007/s10527-021-10100-3

Cited by 2 publications

(2 citation statements)

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“…В России ведутся успешные разработки оборудования на основе фонографии. Так, компанией ООО «Диагностика +» (г. Томск) создан программно-аппаратный комплекс FetalCare, предназначенный для круглосуточного мониторинга состояния плода [34][35][36][37]. После захвата акустических данных происходит их первичная обработка с целью повышения качества выраженности звуков.…”

Section: фонокардиографияunclassified

“…По завершению исследования график потенциальных R-R-интервалов обрабатывается алгоритмом построения кардиоинтервалограммы. Результаты исследования формируются в виде отчета в формате PDF (Portable Document Format) [34][35][36][37]. В настоящее время на основе данного оборудования создается программное обеспечение системы медико-технической поддержки врача и беременной.…”

Section: фонокардиографияunclassified

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Monitoring of the intrauterine state of the fetus. Question history. New possibilities of phonocardiography

Repina,

Kosteley,

Bureev

et al. 2023

Bûll. sib. med.

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The problem of decreasing perinatal mortality is one of the pressing problems in modern obstetrics. Unfortunately, current methods of monitoring the intrauterine state of the fetus that are at the disposal of an obstetrician – gynecologist (сardiotocography, Doppler velocimetry) do not guarantee fetal wellbeing in the near-term outlook, and the number of tests is limited due to safety concerns. Consequently, there is ongoing search for alternative methods of obtaining information about the intrauterine state of the fetus (phonocardiography, electrocardiography). Using IT and mathematical data analysis has considerably enlarged the phonocardiography potential, including implementation of remote monitoring of the fetal health state.A Tomsk-based company Diagnostika + LCC developed software and hardware appliance FetalCare aimed at 24-hour monitoring of the intrauterine state of the fetus based on audio data on the fetal cardiovascular system. Cardiointervalograms (CIG) obtained by phonocardiography allow to estimate the state of the fetus based on standard assessment criteria: basal heart rate, heart rate variability, presence of accelerations and decelerations, short-term variation (STV), and long-term variation (LTV). The developed appliance is non-invasive, relatively cheap, portable, and safe both for the mother and the fetus.

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Section: фонокардиографияunclassified

Monitoring of the intrauterine state of the fetus. Question history. New possibilities of phonocardiography

Repina,

Kosteley,

Bureev

et al. 2023

Bûll. sib. med.

Self Cite

View full text Add to dashboard Cite

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Electromyogram (EMG) Signal Classification Based on Light-Weight Neural Network with FPGAs for Wearable Application

Choi

2023

Electronics

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Recently, the application of bio-signals in the fields of health management, human–computer interaction (HCI), and user authentication has increased. This is because of the development of artificial intelligence technology, which can analyze bio-signals in numerous fields. In the case of the analysis of bio-signals, the results tend to vary depending on the analyst, owing to a large amount of noise. However, when a neural network is used, feature extraction is possible, enabling a more accurate analysis. However, if the bio-signal time series is analyzed as is, the total neural network increases in size. In this study, to accomplish a light-weight neural network, a maximal overlap discrete wavelet transform (MODWT) and a smoothing technique are used for better feature extraction. Moreover, the learning efficiency is increased using an augmentation technique. In designing the neural network, a one-dimensional convolution layer is used to ensure that the neural network is simple and light-weight. Consequently, the light-weight attribute can be achieved, and neural networks can be implemented in edge devices such as the field programmable gate array (FPGA), yielding low power consumption, high security, fast response times, and high user convenience for wearable applications. The electromyogram (EMG) signal represents a typical bio-signal in this study.

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Choice of Wavelet Filtering Parameters for Processing Fetal Phonocardiograms with High Noise Level

Cited by 2 publications

References 1 publication

Monitoring of the intrauterine state of the fetus. Question history. New possibilities of phonocardiography

Monitoring of the intrauterine state of the fetus. Question history. New possibilities of phonocardiography

Electromyogram (EMG) Signal Classification Based on Light-Weight Neural Network with FPGAs for Wearable Application

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