Algorithm for quantitative assessment of cardiorespiratory synchronization and effectiveness of HRV biofeedback training: How to estimate a phenomenon of cardiorespiratory synchronization

Авторы: Kovaleva A.V., Anisimov V.N.
Сборник: 2021 International Conference on Cyberworlds (CW)
Год издания: 2021
Место издания: IEEE
Первая страница: 174
Последняя страница: 179
DOI: 10.1109/cw52790.2021.00037
Аннотация: It is well-known that heart rate increases during inhalation and decreases during exhalation. This phenomenon is called respiratory sinus arrhythmia. Synchronization betweenheart rhythm and breathing maximizes when breathing at the so-called resonance frequency, which for most people is about 6 breaths per minute. Heart rate variability biofeedback (HRV-BFB) training for self-regulation improvement is based on thesemechanisms, but there is a lack of appropriate quantitative methods for the effectiveness of the impact. We propose a new approach for assessing cardiorespiratory synchronization,which allows us to characterize this state more objectively –cross-correlation coefficient calculation between heart rate andbreathing curves. It could be used in real-time recording (essential in BFB training) and probably will be applicable in ultra-short-term epochs for emotional reactions assessment andin other rapid fluctuations of psychophysiological states, wherethe classic frequency domain method of HRV assessment is not applicable due to short epoch time.
Добавил в систему: Ковалева Анастасия Владимировна

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