Measuring human energy expenditure: What have we learned from the flex-heart rate method?

2003 ◽  
Vol 15 (4) ◽  
pp. 479-489 ◽  
Author(s):  
William R. Leonard
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Human Energy ◽  
Rate Method

scholarly journals Investigating the effect of the body mass index (BMI) values on the behavior of human energy expenditure

2020 ◽  
Vol 18 (5) ◽  
Author(s):  
Sugiono Sugiono ◽  
Sudjito Suparman ◽  
Teguh Oktiarso ◽  
Willy Satrio
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Rest Heart Rate ◽  
Critical Factor ◽  
Recovery Process ◽  
Recovery Phase ◽  
The Body ◽  
Office Workers ◽  
Healthy Weight ◽  
Human Energy

Employee durability is a critical factor to improve a company performance. Company management must control employee health conditions. The purpose of this paper is to determine the effect of office worker’s BMI variation on human energy expenditure behavior including the recovery process. This study started with literature reviews of BMI, human biology, energy expenditure, and physiology ergonomics. The data was collected randomly from 126 nonphysical office workers in productive ages from 20 to 40 years old. The BMI, resting heart rate, activity heart rate, and recovery heart rate of all respondents then recorded. The results shows that the respondents BMI scores are classified into underweight (BMI <18.5) with totaling = 4%, healthy weight (18.5 ≤ BMI ≤ 22.9) = 34.1%, light obesity (23 ≤ BMI ≤ 24.9) = 23%, medium obesity (25 ≤ BMI ≤ 29.9) = 29.4%, and weight obesity (BMI> 30) = 9.5%. The underweight class has the lowest average rest heart rate = 68.6 bpm and the overweight class has the highest average rest heart rate = 84.6 bpm. Consequently, heart rate during activity for each class from underweight to overweight is 88.4 bpm, 90.9 bpm, 93.3 bpm, 95.1 bpm, and 98.6 bpm. With the same order, the heart rate reduction percentage during the recovery phase is 4.6%, 11.0%, 13.1%, 16.0%, and 8.8%. In brief, the BMI variation strongly correlated with Time to Recovery (TTR) of nonphysical office workers.

Linkage between machine power utilization and ergonomics, with reference to reducing exertions at work

Work ◽  
2020 ◽  
Vol 67 (4) ◽  
pp. 949-957
Author(s):  
Abdollah Hayati ◽  
Afshin Marzban
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Unit Area ◽  
Pearson Correlation ◽  
Field Capacity ◽  
Contributing Factors ◽  
Factors Affecting ◽  
Human Energy ◽  
Rate Sensor ◽  
Working Heart

BACKGROUND: Despite mechanization development, leafy vegetable cultivation (LVC), as a labor-intensive activity in both developed and developing countries, still suffers from heavy physical activities. OBJECTIVE: The present study evaluated the human physiological strains of LVC’s workers to identify relationships among contributing factors affecting human physiological strains. METHODS: Thirty male workers were included in this study. Working heart rate (HR) was measured using a heart rate sensor during various operations. The time taken to treat a known area was measured using a stopwatch to calculate work speed (or field capacity (FC)) for each operation. Pearson correlation coefficient and linear regression were used to investigate the relationships among HR, heart rate ratio, FC and mechanization status (MS), and human energy expenditure rate and total energy expenditure per unit area. RESULTS: The highest HR was at seedbed preparing (120.1 beats/min) and lowest at manual harvesting (87.8 beats/min). Manual hoe-used operations (seedbed preparing, manure application and irrigating) were demonstrated as the critical operations concerning physiological strains. The operations performed by machine power corresponded to a high FC. CONCLUSIONS: Variables influencing the area treating speed (i.e. MS and FC) are negatively linked to the human energy consumed per unit area and variable changed in time unit (i.e. HR) was positively linked to the human energy expenditure speed.

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.

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