scholarly journals How Does Deep Breathing Affect Office Blood Pressure and Pulse Rate?

2005 ◽  
Vol 28 (6) ◽  
pp. 499-504 ◽  
Author(s):  
Hisao MORI ◽  
Hareaki YAMAMOTO ◽  
Masaomi KUWASHIMA ◽  
Saburo SAITO ◽  
Hiroshi UKAI ◽  
...  
2019 ◽  
Vol 43 (1) ◽  
pp. 21-25
Author(s):  
Mohammed Senna Hassan

   Twenty Iraqi ducks hearts ( 10 male and 10 female ) have been  used for   demonstration  and illustration of heart's valves  and chambers  as well as  anatomical   and morphological site of view to explain what modifications had been take place for ducks heart  to perform  his normal life at the  circumstances  of  high  blood  pressure  and  pulse  rate. The heart  which has distinctly pointed  apex  was  built   in simple  manner located  in a transparent  taught  heart  pericardial  sac. It   was pyramidal in shape  externally  and  has a longitudinal  salcus  passing  to the  right  side, the  anterior of  the   heart  is  divided  into two  unequal  anterior  chamber  similar  to  those of mammalian  hear  .The heart valves are modified  in  order to  minimize  the  fraction  that occur as a result of  high  blood  pressure  and  pulse  rate  of  the  duck  heart , also  the  muscular  trabeculae   replace  the  chordate  tendineae  , which  were  present in the  mammalian    heart  in order to  minimize  the  fraction  resulting  from high  pulse  rate..    


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.


2016 ◽  
Vol 16 (C) ◽  
pp. 71
Author(s):  
Myles Moore ◽  
Nathan Dwyer ◽  
Ella Hoban ◽  
Mark Nelson ◽  
Dean Picone ◽  
...  

Author(s):  
Annina S. Vischer ◽  
Thenral Socrates ◽  
Clemens Winterhalder ◽  
Jens Eckstein ◽  
Michael Mayr ◽  
...  

2015 ◽  
Vol 20 (4) ◽  
pp. 204-208 ◽  
Author(s):  
David Armstrong ◽  
Murray Matangi ◽  
Daniel Brouillard ◽  
Martin G. Myers

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