Assessment of Human Gait Speed and Energy Expenditure Using a Single Triaxial Accelerometer

2012 ◽  
Author(s):  
Anstasopoulou Panagiota ◽  
Shammas Layal ◽  
Hey Stefan
Keyword(s):  
Energy Expenditure ◽  
Gait Speed ◽  
Human Gait ◽  
Triaxial Accelerometer

Kinematic Coordination in Human Gait: Relation to Mechanical Energy Cost

1998 ◽  
Vol 79 (4) ◽  
pp. 2155-2170 ◽  
Author(s):  
L. Bianchi ◽  
D. Angelini ◽  
G. P. Orani ◽  
F. Lacquaniti
Keyword(s):  
Energy Expenditure ◽  
Energy Cost ◽  
Time Course ◽  
Sagittal Plane ◽  
Dimensional Space ◽  
Mechanical Energy ◽  
Direction Cosine ◽  
Lower Limbs ◽  
Human Gait ◽  
Plane Orientation

Bianchi, L., D. Angelini, G. P. Orani, and F. Lacquaniti. Kinematic coordination in human gait: relation to mechanical energy cost. J. Neurophysiol. 79: 2155–2170, 1998. Twenty-four subjects walked at different, freely chosen speeds ( V) ranging from 0.4 to 2.6 m s−1, while the motion and the ground reaction forces were recorded in three-dimensional space. We considered the time course of the changes of the angles of elevation of the trunk, pelvis, thigh, shank, and foot in the sagittal plane. These angles specify the orientation of each segment with respect to the vertical and to the direction of forward progression. The changes of the trunk and pelvis angles are of limited amplitude and reflect the dynamics of both right and left lower limbs. The changes of the thigh, shank, and foot elevation are ample, and they are coupled tightly among each other. When these angles are plotted one versus the others, they describe regular loops constrained on a plane. The plane of angular covariation rotates, slightly but systematically, along the long axis of the gait loop with increasing V. The rotation, quantified by the change of the direction cosine of the normal to the plane with the thigh axis ( u 3 t ), is related to a progressive phase shift between the foot elevation and the shank elevation with increasing V. As a next step in the analysis, we computed the mass-specific mean absolute power ( P u ) to obtain a global estimate of the rate at which mechanical work is performed during the gait cycle. When plotted on logarithmic coordinates, P u increases linearly with V. The slope of this relationship varies considerably across subjects, spanning a threefold range. We found that, at any given V > 1 m s−1, the value of the plane orientation ( u 3 t ) is correlated with the corresponding value of the net mechanical power ( P u ). On the average, the progressive rotation of the plane with increasing V is associated with a reduction of the increment of P u that would occur if u 3 t remained constant at the value characteristic of low V. The specific orientation of the plane at any given speed is not the same in all subjects, but there is an orderly shift of the plane orientation that correlates with the net power expended by each subject. In general, smaller values of u 3 t tend to be associated with smaller values of P u and vice versa. We conclude that the parametric tuning of the plane of angular covariation is a reliable predictor of the mechanical energy expenditure of each subject and could be used by the nervous system for limiting the overall energy expenditure.

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 Bases para el entendimiento del proceso de la marcha humana./Bases for undertanding the human gait process

2013 ◽  
Vol 13 (1) ◽  
pp. 88-96 ◽  
Author(s):  
José henry Osorio ◽  
Mauricio hernando Valencia
Keyword(s):  
Energy Expenditure ◽  
Development Process ◽  
Gait Pattern ◽  
Human Gait ◽  
Adaptation Process ◽  
Center Line ◽  
Gravity Center ◽  
El Sistema ◽  
The Individual ◽  
Motor Controls

La marcha es la forma de desplazamiento en posición bípeda propia del ser humano en la que se suceden apoyos bipodales y monopodales yrequiere un proceso de desarrollo y automatización, se hace necesario entender las bases de este proceso, lo cual es el objetivo del presente artículo de revisión. Se analizó la literatura disponible en la base de datos PUBMED, al igual que artículos históricos, textos y referencias citadas en trabajos públicos. Se obtuvo información pertinente relacionada con los objetivos propuestos en el presente artículo de revisión, por lo cual puede clasificarse en 3 secciones a saber: desarrollo de la marcha, marcha normal y características de la marcha que influencian la línea del centro de gravedad. Puede concluirse que la marcha humana es un proceso de locomoción que presenta eficiencia y funcionalidad única así, cada individuo, posee un patrón determinado en suejecución al realizar menor esfuerzo y menor gasto de energía con adecuada estabilidad y propulsión. El patrón de marcha se adquiere en la infancia y con la práctica, el sistema neurosensorial lo convierte en un proceso de adaptación que genera comandos repetitivos de controles motores, que le permiten al individuo caminar sin esfuerzo consciente. Human gait is the way how a human can move in biped position, in which bipodal andmonopodal supports are present and requires a development process and automation.It is necessary to understand the bases of this process and that is the objective ofthe present work. Information from database PUBMED as well as historical articles,texts and references cited in public published papers to date were analyzed. Pertinentinformation related with the objectives proposed in the present review was found andanalyzed. It was then divided into three sections as follows: gait development, normalgait, and characteristics of gait which influence the gravity center line. It can be concludedthat the human gait is a locomotion process which presents efficiency and functionality,then each individual present a determined pattern when walking, performing theminimal effort and lesser energy expenditure with an adequate stability and propulsion.The gait pattern is acquired in childhood and after practicing, the neurosensory systemconverts it in an adaptation process generating repetitive commands of motor controls,which permit to the individual to walk without a conscious effort.

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

scholarly journals Dynapenia, gait speed and daily physical activity measured using triaxial accelerometer in older Japanese men

2014 ◽  
Vol 3 (1) ◽  
pp. 147-154 ◽  
Author(s):  
Masahiro Ikenaga ◽  
Yosuke Yamada ◽  
Noriko Takeda ◽  
Misaka Kimura ◽  
Yasuki Higaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gait Speed ◽  
Daily Physical Activity ◽  
Triaxial Accelerometer ◽  
Japanese Men
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