Applicability of Triaxial Accelerometer for Energy Expenditure Calculation in Weight Lifting

2006 ◽  
Author(s):  
Hannula Manne ◽  
Hamlainen Timo ◽  
Kylen Lasse ◽  
Moisala Juha ◽  
Jauhiainen Jukka
Keyword(s):  
Energy Expenditure ◽  
Weight Lifting ◽  
Triaxial Accelerometer

scholarly journals Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Suzanne M. de Graauw ◽  
Janke F. de Groot ◽  
Marco van Brussel ◽  
Marjolein F. Streur ◽  
Tim Takken
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Prediction Model ◽  
Children And Adolescents ◽  
Prediction Models ◽  
Accurate Estimate ◽  
Healthy Children ◽  
Triaxial Accelerometer ◽  
Free Living ◽  
Doubly Labelled Water

Purpose. To critically review the validity of accelerometry-based prediction models to estimate activity energy expenditure (AEE) in children and adolescents.Methods. The CINAHL, EMBASE, PsycINFO, and PubMed/MEDLINE databases were searched. Inclusion criteria were development or validation of an accelerometer-based prediction model for the estimation of AEE in healthy children or adolescents (6–18 years), criterion measure: indirect calorimetry, or doubly labelled water, and language: Dutch, English or German.Results. Nine studies were included. Median methodological quality was5.5±2.0 IR (out of a maximum 10 points). Prediction models combining heart rate and counts explained 86–91% of the variance in measured AEE. A prediction model based on a triaxial accelerometer explained 90%. Models derived during free-living explained up to 45%.Conclusions. Accelerometry-based prediction models may provide an accurate estimate of AEE in children on a group level. Best results are retrieved when the model combines accelerometer counts with heart rate or when a triaxial accelerometer is used. Future development of AEE prediction models applicable to free-living scenarios is needed.

Energy Expenditure Prediction From A Triaxial Accelerometer Using Vector Magnitude Or Vertical Plane Counts.

2008 ◽  
Vol 40 (Supplement) ◽  
pp. S201
Author(s):  
Cheryl A. Howe ◽  
Gabrielle D. Papineau ◽  
John W. Staudenmayer ◽  
Patty S. Freedson
Keyword(s):  
Energy Expenditure ◽  
Vertical Plane ◽  
Triaxial Accelerometer ◽  
Vector Magnitude

scholarly journals Assessment of energy expenditure for physical activity using a triaxial accelerometer

1994 ◽  
Vol 26 (12) ◽  
pp. 1516???1523 ◽  
Author(s):  
CARLIJN V. BOUTEN ◽  
KLAAS R. WESTERTERP ◽  
MAARTEN VERDUIN ◽  
JAN D. JANSSEN
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Triaxial Accelerometer

Evaluation of the TriTrac-R3D Triaxial Accelerometer in Measuring Energy Expenditure During Walking in Neurological Impairment

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S304-S305 ◽  
Author(s):  
Janet A. Mulcare ◽  
Thomas Mathews ◽  
Kurt Jackson ◽  
Jackie Palmer ◽  
Melissa Kloostra ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Neurological Impairment ◽  
Triaxial Accelerometer

Estimating Energy Expenditure With the RT3 Triaxial Accelerometer

2009 ◽  
Vol 80 (2) ◽  
pp. 249-256 ◽  
Author(s):  
Ralph Maddison ◽  
Yannan Jiang ◽  
Stephen Vander Hoorn ◽  
Cliona Ni Mhurchu ◽  
Carlene M.M. Lawes ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Triaxial Accelerometer

scholarly journals Energy expenditure and physical activity in COPD by the DLW method and an accelerometer

2021 ◽  
pp. 00407-2020
Author(s):  
Hideaki Sato ◽  
Hidetoshi Nakamura ◽  
Yuki Nishida ◽  
Toru Shirahata ◽  
Sanehiro Yogi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Total Population ◽  
Activity Level ◽  
Walking Distance ◽  
Clinical Parameters ◽  
Triaxial Accelerometer ◽  
Clinical Factors ◽  
Physical Status ◽  
Male Patients

Although weight loss suggests poor prognosis of COPD, only a few studies have examined total energy expenditure (TEE) or physical activity level (PAL) using the doubly labeled water (DLW) method. We evaluated TEE and PAL using the DLW method together with a triaxial accelerometer to elucidate the relationships between TEE, PAL and clinical parameters leading to a practical means of monitoring COPD physical status.This study evaluated 50- to 79-year-old male patients with mild to very severe COPD (n=28) or at risk for COPD (n=8). TEE, activity energy expenditure for 2 weeks, and basal metabolic rate were measured by DLW, an accelerometer, and indirect calorimetry, respectively. All patients underwent pulmonary function, chest-computed tomography, 6-min walk, body composition and grip strength (GS) tests. Relationships between indices of energy expenditure and clinical parameters were analysed. Bland-Altman analysis was used to examine the agreement of TEE and PAL between the DLW method and the accelerometer.TEE and PAL using DLW in the total population were 2273±445 kcal·day−1 and 1.80±0.20, respectively. TEE by DLW was correlated well with that from the accelerometer and GS (p<0.0001), and PAL by DLW correlated well with that from the accelerometer (p<0.0001), GS and 6-min walking distance (p<0.001) among various clinical parameters. The accelerometer, however, underestimated TEE (215±241 kcal·day−1) and PAL (0.18±0.16), with proportional biases in both indices.TEE and PAL can be estimated by the accelerometer in patients with COPD if systematic errors and relevant clinical factors such as muscle strength and exercise capacity are accounted for.

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