scholarly journals Applicability of pedometry and accelerometry in the calculation of energy expenditure during walking and Nordic walking among women in relation to their exercise heart rate

2015 ◽  
Vol 27 (11) ◽  
pp. 3525-3527 ◽  
Author(s):  
Jacek Polechoński ◽  
Władysław Mynarski ◽  
Agnieszka Nawrocka
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Exercise Heart Rate ◽  
Nordic Walking

scholarly journals Energy expenditure of nordic walking and conventional walking assessed by accelerometer

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Władysław Mynarski ◽  
Małgorzata Grabara ◽  
Michał Rozpara ◽  
Agnieszka Nawrocka ◽  
Aneta Powerska-Didkowska ◽  
...  
Keyword(s):  
Heart Rate ◽  
Physical Education ◽  
Energy Expenditure ◽  
Study Data ◽  
Exercise Heart Rate ◽  
Men Students ◽  
Nordic Walking ◽  
Warm Up ◽  
And Gender ◽  
Moving Speed

Summary Study aim: the objective was to assess and compare the energy expenditure (EE) and exercise heart rate (EHR) during Nordic Walking (NW), and conventional walking (W) in physical education and tourism/recreation university students. Material and methods: a total of 53 women and 65 men, students at the Academy of Physical Education in Katowice, and Polytechnic in Opole, in Poland, were investigated to assess the EE of Nordic Walking and conventional walking, and to measure the EHR, a uniaxial accelerometer – Caltrac Monitor, and a pulsometer – Polar RS 400 SD were used. After a standard warm-up, the participants (joined group) were marching with poles for 30 minutes, at a speed regulated by the group’s leader, who used footpod’s indications: 5.5–6.5 km/h – in Katowice, and 7.5–8.5 km/h – in Opole. After a break, during which the participants’ heart rate decreased below 100 bpm, the above actions and measurements were repeated, during normal walking. Results: energy expenditure during Nordic Walking (EE NW), expressed in kcals and METs, was in women and in men, at both analyzed speeds, significantly higher (p < 0.05) than during conventional walking (EE W). EHR was higher during NW, compared to W, and the statistically significant differences were revealed both in female’s and male’s groups. Conclusions: our study data have shown that EE and EHR during Nordic Walking, have been significantly higher than during conventional walking, regardless of the moving speed and gender. NW might present a useful modality in prevention of hypokinetic disorders.

scholarly journals The Effect of AcuteRhodiola roseaIngestion on Exercise Heart Rate, Substrate Utilisation, Mood State, and Perceptions of Exertion, Arousal, and Pleasure/Displeasure in Active Men

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Michael J. Duncan ◽  
Neil D. Clarke
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Repeated Measures ◽  
Mood State ◽  
Cycling Performance ◽  
Exercise Heart Rate ◽  
Double Blind ◽  
Substrate Utilisation ◽  
Repeated Measures Analysis ◽  
Before And After

The aim of this study was to examine the effect of acuteRhodiola rosea(R. rosea) ingestion on substrate utilisation, mood state, RPE, and exercise affect. Ten males (mean age ± S.D. = 26 ± 6 years) completed two 30-minute cycling trials at an intensity of 70% ofV˙O2max⁡following ingestion of either 3 mg·kg−1body mass ofR. roseaor placebo using a double-blind, crossover design. During exercise, heart rate and RPE were recorded. Participants completed measures of mood state and exercise affect before and after exercise. Expired air samples were taken during exercise to determine substrate utilisation. Repeated measures analysis of variance indicated that RPE was significantly lower at 30 minutes into exercise versus placebo (P=0.003). Perceptions of arousal (P=0.05) and pleasure were significantly higher after exercise withR. roseacompared to placebo (P=0.003). Mood state scores for vigor were also higher inR. roseacondition compared to placebo (P=0.008). There were no significant differences in energy expenditure, carbohydrate, or fat oxidation between conditions (P>0.05). Ingestion ofR. roseafavourably influenced RPE and exercise affect without changes in energy expenditure or substrate utilization during 30-minute submaximal cycling performance.

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.

scholarly journals Post-exercise heart rate recovery in individuals with spinal cord injury

Spinal Cord ◽  
2010 ◽  
Vol 48 (8) ◽  
pp. 639-644 ◽  
Author(s):  
J N Myers ◽  
L Hsu ◽  
D Hadley ◽  
M Y Lee ◽  
B J Kiratli
Keyword(s):  
Spinal Cord ◽  
Heart Rate ◽  
Spinal Cord Injury ◽  
Heart Rate Recovery ◽  
Exercise Heart Rate ◽  
Post Exercise ◽  
Cord Injury

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.

Improved estimation of energy expenditure by artificial neural network modeling

2008 ◽  
Vol 33 (6) ◽  
pp. 1213-1222 ◽  
Author(s):  
Dean Charles Hay ◽  
Akinobu Wakayama ◽  
Ken Sakamura ◽  
Senshi Fukashiro
Keyword(s):  
Neural Network ◽  
Heart Rate ◽  
Artificial Neural Network ◽  
Energy Expenditure ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Validation Data ◽  
Artificial Neural Network Modeling ◽  
Feed Forward Back Propagation ◽  
Artificial Neural

Estimation of energy expenditure in daily living conditions can be a tool for clinical assessment of health status, as well as a self-measure of lifestyle and general activity levels. Criterion measures are either prohibitively expensive or restricted to laboratory settings. Portable devices (heart rate monitors, pedometers) have gained recent popularity, but accuracy of the prediction equations remains questionable. This study applied an artificial neural network modeling approach to the problem of estimating energy expenditure with different dynamic inputs (accelerometry, heart rate above resting (HRar), and electromyography (EMG)). Nine feed-forward back-propagation models were trained, with the goal of minimizing the mean squared error (MSE) of the training datasets. Model 1 (accelerometry only) and model 2 (HRar only) performed poorly and had significantly greater MSE than all other models (p < 0.001). Model 3 (combined accelerometry and HRar) had overall performance similar to EMG models. Validation of all models was performed by simulating untrained datasets. MSE of all models increased when tested with validation data. While models 1 and 2 again performed poorly, model 3 MSE was lower than all but 2 EMG models. Squared correlation coefficients of measured and predicted energy expenditure for models 3 to 9 ranged from 0.745 to 0.817. Analysis of mean error within specific movement categories indicates that EMG models may be better at predicting higher-intensity energy expenditure, but combined accelerometry and HRar provides an economical solution, with sufficient accuracy.

An original piecewise model for computing energy expenditure from accelerometer and heart rate signals

2017 ◽  
Vol 38 (8) ◽  
pp. 1599-1615 ◽  
Author(s):  
Hector M Romero-Ugalde ◽  
M Garnotel ◽  
M Doron ◽  
P Jallon ◽  
G Charpentier ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Piecewise Model
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