Algorithm for quantitative assessment of cardiorespiratory synchronization and effectiveness of HRV biofeedback training: How to estimate a phenomenon of cardiorespiratory synchronizationстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 8 апреля 2022 г.
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.