Heart Rate Response to Exercise

2018 ◽  
pp. 437-445
Author(s):  
Gregory S. Thomas
Keyword(s):  
Heart Rate ◽  
Physical Fitness ◽  
Sample Size ◽  
Older Persons ◽  
Heart Rate Response ◽  
Large Sample Size ◽  
Maximum Heart Rate ◽  
Large Sample ◽  
Response To Exercise

The chapter Heart Rate Response to Exercise reviews the studies performed to estimate a patient’s maximum predicted heart rate. While the commonly used formula (220 – age), developed in 1971, is easy to remember, it underestimates the actual maximum heart rate in older persons. Studies of large sample size have found the maximum heart rate to be relatively independent of sex and physical fitness but to incrementally decline with age. The decrease with age is less than 1 beat per minute per year, however. A more accurate and recommended formula is [(208) – (0.7)(age)] as developed by Tanaka and colleagues.

Extended criterion for comparison of empirical distributions

1970 ◽  
Vol 7 (01) ◽  
pp. 1-20 ◽  
Author(s):  
Ora Engleberg Percus ◽  
Jerome K. Percus
Keyword(s):  
Sample Size ◽  
Generating Function ◽  
Relative Number ◽  
Function Technique ◽  
Large Sample Size ◽  
Large Sample ◽  
Empirical Distributions ◽  
Asymptotic Problem ◽  
Explicit Expressions

A generating function technique is used to determine the probability that the deviation between two empirical distributions drawn from the same population lies within a given band a specified number of times. We also treat the asymptotic problem of very large sample size, and obtain explicit expressions when the relative number of failures is very small or very large.

THE HEART RATE RESPONSE TO EXERCISE IN HEALTHY WOMEN AGED 13 TO 88

1992 ◽  
Vol 85 (Supplement) ◽  
pp. 3S-45
Author(s):  
Allen F. Bowyer ◽  
Rosemary A. Thomas
Keyword(s):  
Heart Rate ◽  
Heart Rate Response ◽  
Healthy Women ◽  
Response To Exercise

Heart rate control in diabetic rabbits: blunted response to isoproterenol

1988 ◽  
Vol 255 (5) ◽  
pp. E636-E641 ◽  
Author(s):  
B. E. Zola ◽  
B. Miller ◽  
G. L. Stiles ◽  
P. S. Rao ◽  
E. H. Sonnenblick ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Response ◽  
Atropine Sulfate ◽  
Left Ventricular ◽  
Heart Weight ◽  
Base Line ◽  
Baroreceptor Reflexes ◽  
Diabetic Rabbits ◽  
Alloxan Monohydrate ◽  
Response To Exercise

To study the effects of chronic diabetes on heart rate and adrenergic responsiveness we compared unanesthetized diabetic rabbits, 10-13 mo after alloxan monohydrate injection, to age-matched controls. There were no significant differences found between groups for body or heart weight. Both resting and intrinsic heart rate (the latter obtained after atropine sulfate and propranolol HCl) were similar. In addition, serum and left ventricular epinephrine and norepinephrine concentrations as well as left ventricular beta-receptor density and affinity were unchanged in diabetic animals. Heart rate responses to isoproterenol were blunted in diabetics at the three highest doses. Base-line mean blood pressure was modestly lower in diabetic rabbits, and parallel declines in pressure for both groups were observed in response to isoproterenol. The diminished heart rate response to isoproterenol in diabetic rabbits may be due to diminished myocardial sensitivity to catecholamines, possibly combined with altered baroreceptor reflexes. These experiments may provide an explanation for the blunted heart rate response to exercise described in human diabetics.

Abnormal heart rate response to exercise in vasospastic angina: Pathophysiologic mechanism in the provocation of coronary spasm

1984 ◽  
Vol 108 (2) ◽  
pp. 316-326 ◽  
Author(s):  
Iwao Sato ◽  
Katsuro Shimomura ◽  
Yasuhiro Hasegawa ◽  
Tohru Ohe ◽  
Mokuo Matsuhisa ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Response ◽  
Coronary Spasm ◽  
Vasospastic Angina ◽  
Pathophysiologic Mechanism ◽  
Response To Exercise

Effect of lung transplantation on heart rate response to exercise

Heart & Lung ◽  
2015 ◽  
Vol 44 (3) ◽  
pp. 246-250 ◽  
Author(s):  
Hilary F. Armstrong ◽  
Jose Gonzalez-Costello ◽  
Wilawan Thirapatarapong ◽  
Ulrich P. Jorde ◽  
Matthew N. Bartels
Keyword(s):  
Heart Rate ◽  
Lung Transplantation ◽  
Heart Rate Response ◽  
Response To Exercise

scholarly journals A Mass-Ratiometry-Based CD45 Barcoding Method for Mass Cytometry Detection

2019 ◽  
Vol 24 (4) ◽  
pp. 408-419
Author(s):  
Hongu Meng ◽  
Antony Warden ◽  
Lulu Zhang ◽  
Ting Zhang ◽  
Yiyang Li ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Sample Size ◽  
Single Cell ◽  
Large Sample Size ◽  
Single Cell Level ◽  
Mass Cytometry ◽  
Cell Level ◽  
Large Sample ◽  
Antibody Staining ◽  
Instrument Sensitivity

Mass cytometry (CyTOF) is a critical cell profiling tool in acquiring multiparameter proteome data at the single-cell level. A major challenge in CyTOF analysis is sample-to-sample variance arising from the pipetting process, staining variation, and instrument sensitivity. To reduce such variations, cell barcoding strategies that enable the combination of individual samples prior to antibody staining and data acquisition on CyTOF are often utilized. The most prevalent barcoding strategy is based on a binary scheme that cross-examines the existence or nonexistence of certain mass signals; however, it is limited by low barcoding efficiency and high cost, especially for large sample size. Herein, we present a novel barcoding method for CyTOF application based on mass ratiometry. Different mass tags with specific fixed ratios are used to label CD45 antibody to achieve sample barcoding. The presented method exponentially increases the number of possible barcoded samples with the same amount of mass tags compared with conventional methods. It also reduces the overall time for the labeling process to 40 min and avoids the need for expensive commercial barcoding buffer reagents. Moreover, unlike the conventional barcoding process, this strategy does not pre-permeabilize cells before the barcoding procedure, which offers additional benefits in preserving surface biomarker signals.

MoFe‐Codoped Ni 3 S 2 /Ni(OH) 2 Nanosheets with Large Sample Size toward High‐Performance Oxygen Evolution

2019 ◽  
Vol 7 (9) ◽  
pp. 1801053
Author(s):  
Liu Xie ◽  
Rui Tong ◽  
Wen Zhang ◽  
Dejian Wang ◽  
Tao Liu ◽  
...  
Keyword(s):  
Sample Size ◽  
Oxygen Evolution ◽  
High Performance ◽  
Large Sample Size ◽  
Large Sample
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