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

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

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

Gait measures with a triaxial accelerometer among patients with neurological impairment

2012 ◽  
Vol 34 (4) ◽  
pp. 435-440 ◽  
Author(s):  
Patrik Fazio ◽  
Gino Granieri ◽  
Ilaria Casetta ◽  
Edward Cesnik ◽  
Sante Mazzacane ◽  
...  
Keyword(s):  
Neurological Impairment ◽  
Triaxial Accelerometer

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
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