243: Heart rate variability analysis could help to determine the ventilatory threshold in patients with heart failure

Bulvestre, M.; Leprêtre, Pierre-Marie; Ghannem, M.

doi:10.1016/s1878-6480(13)71174-1

Cited by 2 publications

(5 citation statements)

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“…The variability of heart rhythm is widely used for early diagnosis of cardiovascular diseases and the evaluation of the functions of the autonomic nervous system (Bulvestre et al, 2013;Cygankiewicz et al, 2015;Goldkorn et al, 2015). The predictive value of heart rate variability has been demonstrated by numerous studies in recent years (Al-Zaiti et al, 2014;O'Neal et al, 2016;Botswa et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Methods for increasing the accuracy of recording the parameters of the cardiovascular system in double-beam photoplethysmography

Snizhko

Boiko

Botsva

et al. 2018

Regul. Mech. Biosyst.

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Photoplethysmography has recently become more widespread among non-invasive methods for obtaining information on the state of physiological systems of the human body. Serial photoplethysmographs are intended for use in clinics and require special care, therefore, interest in portable media developed on the basis of modern sensors and microcontrollers is growing, which would not only make this method available for individual use, but also expand its capabilities through the use of light of various spectral ranges. Such devices require modified signal processing techniques that allow them to be used in mobile applications. The aim of the work is to develop methods for processing signals from a modern two-beam sensor operating in the red and infrared ranges for the analysis of photoplethysmography on a mobile device (smartphone or tablet). A device using the microcontroller and radio module in the Bluetooth standard allows you to continuously record pulse waves, determine the level of oxygen in the blood, calculate peak-peak intervals and heart rate. The use of the two-beam sensor for registration and the implementation of the developed signal processing methods in the Android operation system application increase the accuracy of setting the maximums on pulse curve and provide a relative error in determining the heart rate and pulse-to-pulse intervals relative to the certified electrocardiograph at 9.2% and 9.6% respectively, with an average level of interference and an average activity. An Android operation system mobile device (tablet, smartphone) allows you to visualize the measurement results, store data in the internal memory, and transfer them to the server for further processing.

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Section: Introductionmentioning

confidence: 99%

Methods for increasing the accuracy of recording the parameters of the cardiovascular system in double-beam photoplethysmography

Snizhko

Boiko

Botsva

et al. 2018

Regul. Mech. Biosyst.

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“…Researchers have noted the prognostic significance of heart rate variability indices, in particular, the reduction of variability and early diagnostics of cardiovascular diseases, including those in the setting of accompanying diseases . The results of many studies proved the possibility of using heart rate variability as a predictor of lethal outcome risks among patients …”

Section: Introductionmentioning

confidence: 99%

“…The analysis of recent studies showed that among conventional methods of heart rate variability analysis, time domain methods are preferred less, while frequency domain methods are preferred more, as is their use in combination, which is caused by the rapid development of computer technologies that deal with digital processing of signals, including spectral analysis methods, such as multifractal and wavelet transform analysis …”

Section: Introductionmentioning

confidence: 99%

“…9 Nowadays, the study of heart rate variability covers a wide range of problems-from indices of variability of instant R-R intervals 10 to reasons behind such variability that are related to nonlinear effects of the sympathetic and parasympathetic nervous systems, humoral regulation, effect of exercise stress, 11 drugs, emotional, and various stress factors. 12,13 Researchers have noted the prognostic significance of heart rate variability indices, in particular, the reduction of variability and early diagnostics of cardiovascular diseases, [14][15][16][17] including those in the setting of accompanying diseases. [18][19][20][21][22] The results of many studies proved the possibility of using heart rate variability as a predictor of lethal outcome risks among patients.…”

Section: Introductionmentioning

confidence: 99%

“…14,26,28,36,37,[42][43][44] At the same time, the advantage of shortterm indices lies in their good reproducibility. 38 The analysis of recent studies showed that among conventional methods of heart rate variability analysis, 3,9 time domain methods 16,23 are preferred less, while frequency domain methods 2,13,15,25,33,34,41,[44][45][46] are preferred more, as is their use in combination, 47,48 which is caused by the rapid development of computer technologies that deal with digital processing of signals, including spectral analysis methods, such as multifractal and wavelet transform analysis. 2,37,38,41,47,49 One could note the diversity of methods that researchers use to mathematically process and analyze experimental data on heart rate variability indices.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictors of aging based on the analysis of heart rate variability

Botsva

Naishtetik

Khimion

et al. 2017

Pacing Clinical Electrophis

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The use of neural network computations and the modification of the algorithm through the construction of individual training samples for different age intervals, and the creation of individual ensembles of classification neural networks, therefore achieved a prediction of the age of examined persons based on the values of their time and frequency domain heart rate variability indices, with 87% accuracy for women and 85% accuracy for men in the 66-85 years age interval and at least 85% for age groups across the entire sample.

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243: Heart rate variability analysis could help to determine the ventilatory threshold in patients with heart failure

Cited by 2 publications

References 0 publications

Methods for increasing the accuracy of recording the parameters of the cardiovascular system in double-beam photoplethysmography

Methods for increasing the accuracy of recording the parameters of the cardiovascular system in double-beam photoplethysmography

Predictors of aging based on the analysis of heart rate variability

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