Analysis of Instantaneous Energy Symmetry Index in Asymmetrical Gait

Yap, Yi Ting; Gouwanda, Darwin; Gopalai, Alpha Agape; Chong, Yu Zheng

doi:10.1109/tencon.2018.8650470

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…The present paper confirms that the body load can affect the motion symmetry. Features used for symmetry evaluation can include energy evaluation [16] based on data acquired by different mobile sensors or analysis of spatial body position and its motion using video and depth cameras.…”

Section: Resultsmentioning

confidence: 99%

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Motion Symmetry Evaluation Using Accelerometers and Energy Distribution

et al. 2019

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Analysis of motion symmetry constitutes an important area with many applications in engineering, robotics, neurology and biomedicine. This paper presents the use of microelectromechanical sensors (MEMS), including accelerometers and gyrometers, to acquire data via mobile devices so as to monitor physical activities and their irregularities. Special attention is devoted to the analysis of the symmetry of the motion of the body when the same exercises are performed by the right and the left limb. The analyzed data include the motion of the legs on a home exercise bike under different levels of load. The method is based on signal analysis using the discrete wavelet transform and the evaluation of signal segment features such as the relative energy at selected decomposition levels. The subsequent classification of the evaluated features is performed by k-nearest neighbours, a Bayesian approach, a support vector machine, and neural networks. The highest average classification accuracy attained is 91.0% and the lowest mean cross-validation error is 0.091, resulting from the use of a neural network. This paper presents the advantages of the use of simple sensors, their combination and intelligent data processing for the numerical evaluation of motion features in the rehabilitation and monitoring of physical activities.

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Section: Resultsmentioning

confidence: 99%

“…One of differences is in the sampling period which is usually much higher for MEMS systems and related signals can detect more detail motion differences. Asymmetry in both kinetic and potential energy [16] can be observed in a cyclical movement that involves the coordination of both left and right limbs.…”

Section: Introductionmentioning

confidence: 99%

Motion Symmetry Evaluation Using Accelerometers and Energy Distribution

et al. 2019

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“…None of them involves mechanical energy of the lo wer ext remity. This study is a continuation of our prev ious works reported in [18] and [19]. In [18], we p resented the kinematic and kinetic aspects of the asymmetrical gait, while in [19], we determined the bilateral difference between left limb and right limb in asymmetrical gait and examined the change in mechanical energy of each segment (foot, shank and thigh).…”

mentioning

confidence: 82%

“…This study is a continuation of our prev ious works reported in [18] and [19]. In [18], we p resented the kinematic and kinetic aspects of the asymmetrical gait, while in [19], we determined the bilateral difference between left limb and right limb in asymmetrical gait and examined the change in mechanical energy of each segment (foot, shank and thigh). Fro m these studies, we hypothesize that there will be significant difference between segmental energies of the left and right limbs during certain period of the gait cycle in asymmetrical gait.…”

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confidence: 82%

Instantaneous Segmental Energy Symmetry Index as Gait Compensation Indicator in Asymmetrical Walking

Yap

Gouwanda

Gopalai

et al. 2019

IJIE

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Understanding the energy expenditure of human loco motion has been an area of great interest in gait analysis [1]. Energy expenditure can be determined either by quantifying the metabolic or mechanical energetic cost. The first o ne is the most direct approach. It is derived fro m the prediction of metabolic function of the body th rough proxies such as the body demand for adenosine triphosphate (ATP) during an activ ity, wh ich is reflected in the change in volumetric rate of oxygen consumption. The rate of o xygen consumption signifies the rate of cellu lar respiration, which is directly proportional to the intensity of the activity [1]. However, th is method only measures how much energy is expended by

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