Influence of Number of Sets on Blood Pressure and Heart Rate Variability After a Strength Training Session

2015 ◽  
Vol 29 (6) ◽  
pp. 1556-1563 ◽  
Author(s):  
Tiago Figueiredo ◽  
Matthew R. Rhea ◽  
Mark Peterson ◽  
Humberto Miranda ◽  
Claudio M. Bentes ◽  
...  
2016 ◽  
Vol 30 (7) ◽  
pp. 1813-1824 ◽  
Author(s):  
Tiago Figueiredo ◽  
Jeffrey M. Willardson ◽  
Humberto Miranda ◽  
Claudio M. Bentes ◽  
Victor Machado Reis ◽  
...  

2015 ◽  
Vol 29 (10) ◽  
pp. 2941-2948 ◽  
Author(s):  
Tiago Figueiredo ◽  
Jeffrey M. Willardson ◽  
Humberto Miranda ◽  
Claudio M. Bentes ◽  
Victor M. Reis ◽  
...  

2020 ◽  
Vol 21 (3) ◽  
pp. 292-296 ◽  
Author(s):  
Jesús Álvarez-Herms ◽  
Sonia Julià-sánchez ◽  
Hannes Gatterer ◽  
Francisco Corbi ◽  
Gines Viscor ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Marcelo Corso ◽  
Tiago C. de Figueiredo ◽  
Danilo Carvalho ◽  
Amanda F. Brown ◽  
Belmiro F. de Salles ◽  
...  

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.


2021 ◽  
pp. 1-7
Author(s):  
LaBarron K. Hill ◽  
Julian F. Thayer ◽  
DeWayne P. Williams ◽  
James D. Halbert ◽  
Guang Hao ◽  
...  

2014 ◽  
Vol 37 (8) ◽  
pp. 779-784 ◽  
Author(s):  
Hiromi Mori ◽  
Isao Saito ◽  
Eri Eguchi ◽  
Koutatsu Maruyama ◽  
Tadahiro Kato ◽  
...  

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