Using Rqa for Evaluating Heart Rate Patterns Under  Controlled Breathing

Ladeira, Guênia Mara Vieira; Oliveira-Lopes, Luís Cláudio; Lima, Gabriela Vieira; Carvalho, Mateus Rodrigues

doi:10.20906/cps/nsc2016-0092

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“…The recurrence quantification analysis (RQA) offers the quantitative analysis of recurrence properties of dynamical systems in time and is widely used for biological systems. In a previous study, we have evaluated the level of quantifiers of cross-recurrence between frequency and amplitude variation of the electrical stimulus of the heart with respiratory control 18 . The EEG recurrence percentage markers reliably quantified two aspects related to sleep quality, sleep depth and sleep fragmentation 8 .…”

Section: Introductionmentioning

confidence: 99%

Frequency spectrum recurrence analysis

Ladeira

Marwan

Filho

et al. 2020

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In this paper, we present the new frequency spectrum recurrence analysis technique by means of electro-encephalon signals (EES) analyses. The technique is suitable for time series analysis with noise and disturbances. EES were collected, and alpha waves of the occipital region were analysed by comparing the signals from participants in two states, eyes open and eyes closed. Firstly, EES were characterized and analysed by means of techniques already known to compare with the results of the innovative technique that we present here. We verified that, standard recurrence quantification analysis by means of EES time series cannot statistically distinguish the two states. However, the new frequency spectrum recurrence quantification exhibit quantitatively whether the participants have their eyes open or closed. In sequence, new quantifiers are created for analysing the recurrence concentration on frequency bands. These analyses show that EES with similar frequency spectrum have different recurrence levels revealing different behaviours of the nervous system. The technique can be used to deepen the study on depression, stress, concentration level and other neurological issues and also can be used in any complex system.

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Section: Introductionmentioning

confidence: 99%