Improving the Precision and Accuracy for Estimating Energy Expenditure Using the Heart Rate Method

2007 ◽  
Vol 80 (5) ◽  
pp. 551-555 ◽  
Author(s):  
J. A. Green ◽  
P. B. Frappell
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Rate Method ◽  
Precision And Accuracy

scholarly journals Assessment of the heart-rate method for determining energy expenditure in man, using a whole-body calorimeter

1979 ◽  
Vol 42 (1) ◽  
pp. 1-13 ◽  
Author(s):  
M. J. Dauncey ◽  
W. P. T. James
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Whole Body ◽  
Moderate Activity ◽  
Free Living ◽  
Light Activity ◽  
Rate Method ◽  
The Mean ◽  
Standard Techniques ◽  
Activity Energy

1. The heart-rate (HR) method for determining the energy expenditure of free-living subjects has been evaluated using a whole-body calorimete in which individuals lived continuously for 27 h while carrying out normal daily activities. Eight male volunteers each occupied the calorimeter on at least two occasions when HR and energy expenditure were measured continously.2. After each session in the calorimeter a calibration was obtained using standard techniques by determining HR and heat production (HP) over periods of 10–15 min at several levels of activity. Energy expenditure in the calorimeter was then predicted, by each of five methods, from the mean HR in the calorimeter. Additionally, one session in the calorimeter was used to obtain a calibration and was used for predicting the subject's energy expenditure while in the calorimeter on other occasions.3. Standard methods of prediction using one calibration point at rest and several points during activity were unreliable for predicting the energy expenditure of an individual. The 24 h HR was at the lower end of the calibration scale and there were considerable over-estimates or underestimates of energy expenditure, particularly during the night when the mean (±SD) difference between the actual and predicted HP was −66±38±6%. A linear regression fitted to points at the lower levels of activity improved the prediction of 24 h HP while a logistic plot reduced the error even further. The best estimate of energy expenditure was that obtained from a calibration over 24 h within the calorimeter; the mean (±SD) difference between the actual and predicted 24 h HP was +3+10.5% for light activity and −3±6.7% for moderate activity. Thus current procedures for calibrating subjects may lead to large errors which could be reduced by using a respiratory chamber.

Energy Expenditure Estimation by Flex Heart Rate Method in Obese Children

2006 ◽  
Vol 38 (Supplement) ◽  
pp. S566
Author(s):  
Christian Thiel ◽  
Gerd Claunitzer ◽  
Lutz Vogt ◽  
Winfried Banzer
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Obese Children ◽  
Rate Method

scholarly journals PERBANDINGAN METODE DENYUT JANTUNG DENGAN FAKTORIAL UNTUK MENGUKUR ENERGY EXPENDITURE PADA DOMBA KERJA LAKTASI

2017 ◽  
Vol 9 (2) ◽  
pp. 148-155
Author(s):  
Dwatmadji Dwatmadji
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Body Condition ◽  
Crude Protein ◽  
Gaseous Exchange ◽  
Mixed Feed ◽  
Air Bubble ◽  
Factorial Method ◽  
Rate Method ◽  
Ad Libitum

The use of conventional gaseous exchange methods for measuring animal energy expenditure is technically difficult and not generally feasible for animals working under field conditions. This experiment was held to study comparison of heart rate and factorial method measurements for predicting energy expenditure in working lactating Merino ewes. The ewes used were two years old, having similar liveweight and body condition, and given ad libitum mixed feed of sorghum and lucerne hay containing 13% of crude protein. The “Working” eweswas placed on modified horse treadmill with speed of 0.9 m second-1, 3 hours, load of 10% liveweight, and 0o incline; whereas the “Control” ewes were standing adjacent to opposite group. Energy expenditure was done using Heart-rate method and Factorial method. Heart rate was through measuring air bubble pulse created within the stream of heparinised saline in the jugular catheter. It was observed that mean energy expenditure estimated by using the Heart-Rate method was higher than that derived by the Factorial method and energy expenditure of Working ewes was higher than that of their Control counterparts, during both Work and Recovery periods. 

Reliability of methods to measure energy expenditure during and after resistance exercise

2019 ◽  
Vol 44 (12) ◽  
pp. 1276-1282
Author(s):  
Philip Lyristakis ◽  
Nick Ball ◽  
Andrew J. McKune
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Resistance Exercise ◽  
Bench Press ◽  
Relative Reliability ◽  
Back Squat ◽  
Anaerobic Energy ◽  
Rate Method ◽  
High Degree ◽  
Aerobic And Anaerobic

The primary purpose of this study was to assess the reliability of 3 methods estimating energy expenditure (EE) during and in response to resistance exercise. Ten males (aged 29.4 ± 10.2 years) with ≥2 months resistance training (RT) experience performed 3 training sessions incorporating the bench press and back-squat; sessions were separated by 48 to 72 h. Total energy expenditure (TEE) was estimated using a Suunto T6D Heart Rate Monitor and 2 methods (named “Scott” and “Magosso”) that used oxygen uptake and blood lactate measurements to determine aerobic and anaerobic energy expenditure (AnEE). For TEE, relative reliability for both the Scott and Magosso methods remained “nearly perfect” across all testing days for the bench press and back-squat; with interclass correlations (ICC) > 0.93 and percentage of the typical error measurement (TEM%) below 5.8%. The heart rate method showed moderate variability between testing days for both exercises; ICCs ranged between 0.66–0.92 with TEM% between 18%–37% during the bench press and 11%–17% during the back-squat. The estimation of AnEE showed that the Scott and Magosso methods had “strong” to “very strong” relative reliability for both exercises; however, a low absolute reliability was observed. Mean EE was significantly higher in the Scott and Magosso methods during the bench press >912 kJ and back-squat >1170 kJ, with the heart rate method estimating 358 kJ and 416 kJ. The Scott and Magosso methods showed a high degree of reliability between testing days when measuring EE. Heart rate methods may significantly underestimate EE during and in response to RT.

Ambient temperature effects on physiological traits of white-tailed deer

1975 ◽  
Vol 53 (6) ◽  
pp. 679-685 ◽  
Author(s):  
J. B. Holter ◽  
W. E. Urban Jr. ◽  
H. H. Hayes ◽  
H. Silver ◽  
H. R. Skutt
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Energy Expenditure ◽  
Ambient Temperature ◽  
Temperature Effects ◽  
Temperature Changes ◽  
Wind Chill ◽  
Ambient Temperatures ◽  
Energy Equilibrium ◽  
Body Energy

Six adult white-tailed deer (Odocoileus virginianus borealis) were exposed to 165 periods of 12 consecutive hours of controlled constant ambient temperature in an indirect respiration calorimeter. Temperatures among periods varied from 38 to 0 (summer) or to −20C (fall, winter, spring). Traits measured were energy expenditure (metabolic rate), proportion of time spent standing, heart rate, and body temperature, the latter two using telemetry. The deer used body posture extensively as a means of maintaining body energy equilibrium. Energy expenditure was increased at low ambient temperature to combat cold and to maintain relatively constant body temperature. Changes in heart rate paralleled changes in energy expenditure. In a limited number of comparisons, slight wind chill was combatted through behavioral means with no effect on energy expenditure. The reaction of deer to varying ambient temperatures was not the same in all seasons of the year.

Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors

2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Primary School ◽  
Correlation Coefficient ◽  
School Children ◽  
Indirect Calorimetry ◽  
Coefficient Of Variation ◽  
Primary School Children ◽  
Heart Rate Monitors

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.

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