Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds.
Aims of this study were: to verify if Recurrence Quantification Analysis (RQA) of Heart Rate Variability (HRV) time series could determine both ventilatory thresholds in individuals with different fitness levels, and to assess the validity of RQA method compared to gas-exchange method (GE). The two...
Saved in:
Main Authors: | Giovanna Zimatore, Lavinia Falcioni, Maria Chiara Gallotta, Valerio Bonavolontà, Matteo Campanella, Marco De Spirito, Laura Guidetti, Carlo Baldari |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/a26124d26ae6448da82d6883ac3cd92d |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data
by: Kotaro Miura, et al.
Published: (2020) -
A Reappraisal of Ventilatory Thresholds in Wheelchair Athletes With a Spinal Cord Injury: Do They Really Exist?
by: Julia Kathrin Baumgart, et al.
Published: (2021) -
Predictive Factors of Ventilatory Support in Chest Trauma
by: Silvia Fattori, et al.
Published: (2021) -
A Brief, Individualized Exercise Program at Intensities Below the Ventilatory Threshold Exerts Therapeutic Effects for Depression: A Pilot Study
by: Yuri Sakai, et al.
Published: (2021) -
Anaesthesia monitoring by recurrence quantification analysis of EEG data.
by: Klaus Becker, et al.
Published: (2010)