Mechanical energy estimation during walking: Validity and sensitivity in typical gait and in children with cerebral palsy

Walle, Patricia Van de; Hallemans, Ann; Schwartz, Michael H.; Truijen, Steven; Gosselink, Rik; Desloovere, Kaat

doi:10.1016/j.gaitpost.2011.09.012

Cited by 14 publications

(12 citation statements)

References 32 publications

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“…Out of databases from previous studies all 3D gait analysis of typically developing children that met following inclusion criteria were selected: a total body gait analysis with clear foot strikes on the force plates and full marker visibility for at least two consecutive strides. Details of participant selection in the previous studies is dependent upon the study and can be found in previous publications [18][19][20][21][22].…”

Section: Participantsmentioning

confidence: 99%

Developmental changes in spatial margin of stability in typically developing children relate to the mechanics of gait

et al. 2018

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Section: Participantsmentioning

confidence: 99%

Developmental changes in spatial margin of stability in typically developing children relate to the mechanics of gait

et al. 2018

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“…The normal tonic depression of soleus Hreflex during gait is absent in CP, reflecting a lack of maturation of the corticospinal tract [69]. Reflex behavior and walking speed improves with treadmill training [68], although the long-term effectiveness of this protocol remains to be validated [70] also using energy expenditure monitoring [71].…”

Section: Cerebral Palsymentioning

confidence: 99%

Development of human locomotion

Lacquaniti¹,

Ivanenko²,

Zago³

2012

Current Opinion in Neurobiology

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Neural control of locomotion in human adults involves the generation of a small set of basic patterned commands directed to the leg muscles. The commands are generated sequentially in time during each step by neural networks located in the spinal cord, called Central Pattern Generators. This review outlines recent advances in understanding how motor commands are expressed at different stages of human development. Similar commands are found in several other vertebrates, indicating that locomotion development follows common principles of organization of the control networks. Movements show a high degree of flexibility at all stages of development, which is instrumental for learning and exploration of variable interactions with the environment

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“…This gave us a 1-dimensional (or 1D) feature vector for each data observation. This is similar to the approaches used to calculate total mechanical work [ 18 , 31 , 32 ]. We therefore have 3 types of feature vectors to represent the mechanical work of our data observations.…”

Section: Methodsmentioning

confidence: 79%

“…The physiological energy expenditure (PE) of the skeletal muscles during motion can, in principle, be obtained from the mechanical energy of movement; however, a range of factors can affect this relationship, making accurate predictions of PE expenditure difficult [ 15 , 16 ]. Methods of modelling the relationship between PE and mechanical work have been explored extensively (see the work of Ingen Schenau and Cavanagh [ 17 ]), but there is currently no accepted method to account for this relationship [ 18 ]. Nevertheless, there are advantages in using mechanical work measurements to estimate PE in active video gaming, since PE can be partitioned between that used to move the body centre of mass and that used to move the limbs relative to the centre of mass.…”

Section: Introductionmentioning

confidence: 99%

Estimating Physical Activity Energy Expenditure with the Kinect Sensor in an Exergaming Environment

et al. 2015

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Active video games that require physical exertion during game play have been shown to confer health benefits. Typically, energy expended during game play is measured using devices attached to players, such as accelerometers, or portable gas analyzers. Since 2010, active video gaming technology incorporates marker-less motion capture devices to simulate human movement into game play. Using the Kinect Sensor and Microsoft SDK this research aimed to estimate the mechanical work performed by the human body and estimate subsequent metabolic energy using predictive algorithmic models. Nineteen University students participated in a repeated measures experiment performing four fundamental movements (arm swings, standing jumps, body-weight squats, and jumping jacks). Metabolic energy was captured using a Cortex Metamax 3B automated gas analysis system with mechanical movement captured by the combined motion data from two Kinect cameras. Estimations of the body segment properties, such as segment mass, length, centre of mass position, and radius of gyration, were calculated from the Zatsiorsky-Seluyanov's equations of de Leva, with adjustment made for posture cost. GPML toolbox implementation of the Gaussian Process Regression, a locally weighted k-Nearest Neighbour Regression, and a linear regression technique were evaluated for their performance on predicting the metabolic cost from new feature vectors. The experimental results show that Gaussian Process Regression outperformed the other two techniques by a small margin. This study demonstrated that physical activity energy expenditure during exercise, using the Kinect camera as a motion capture system, can be estimated from segmental mechanical work. Estimates for high-energy activities, such as standing jumps and jumping jacks, can be made accurately, but for low-energy activities, such as squatting, the posture of static poses should be considered as a contributing factor. When translated into the active video gaming environment, the results could be incorporated into game play to more accurately control the energy expenditure requirements.

show abstract

Mechanical energy estimation during walking: Validity and sensitivity in typical gait and in children with cerebral palsy

Cited by 14 publications

References 32 publications

Developmental changes in spatial margin of stability in typically developing children relate to the mechanics of gait

Developmental changes in spatial margin of stability in typically developing children relate to the mechanics of gait

Development of human locomotion

Estimating Physical Activity Energy Expenditure with the Kinect Sensor in an Exergaming Environment

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