Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review

Dasgupta, Pritika; VanSwearingen, Jessie M.; Godfrey, Alan; Redfern, Mark S.; Montero‐Odasso, Manuel; Sejdić, Ervin

doi:10.1109/tnsre.2020.3044260

Cited by 25 publications

(15 citation statements)

References 190 publications

(310 reference statements)

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“…Díaz et al [26] discussed a wider scope of gait that includes balance and range of motion analysis using wearable sensors. Dasgupta et al [27] was focused on acceleration gait measure for motor skill assessment. Hence, it was specific to motor skills instead of gait.…”

Section: A Existing Reviewmentioning

confidence: 99%

Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review

2021

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The current gold standard for gait analysis involves performing the gait experiments in a laboratory environment with a constrained space. However, there is growing interest in using flexible, efficient, and inexpensive wearable sensors as tools to perform gait analysis. This review aimed to identify and summarize the current advances in wearable sensors for various aspects of gait analysis, such as the application of wearable gait analysis systems, sensor systems and their attachment locations, and the algorithms used for the analysis. The PRISMA guideline was adopted to find relevant studies from the period 2011 to 2020 from several scientific databases. A total of 76 articles were selected based on the inclusion and exclusion criteria. A wearable inertial measurement unit (IMU) attached to the lower limb region was found to be the most common approach for gait analysis. Temporal, spatial, and spatiotemporal features were the most common quantitative gait features extracted from the wearable sensors. The proposed frameworks showed varying performances, and an increased number of sensors did not necessarily improve the estimation performance metrics. A few studies have integrated various machine learning techniques for classification problems, correction algorithms, crosschecking functions, and scoring functions. Finally, this review paper discusses the challenges and future direction of the research on quantitative gait analysis.

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Section: A Existing Reviewmentioning

confidence: 99%

Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review

2021

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“…In the literature, various approaches have been identified to map the scientific data of intended research areas, such as traditional or narrative review [23], systematic mapping review [24], systematic reviews [25], critical reviews [26], content analysis [27], a bibliometric technique [28][29][30][31], latent semantic analysis [32], and scientometric analysis [33,34]. However, scientometric analysis is considered one of the most widely used methodologies to map scientific knowledge efficiently.…”

Section: A Research Aim Gap and Significancementioning

confidence: 99%

Socio-Technical Congruence as an Emerging Concept in Software Development: A Scientometric Analysis and Critical Literature Review

et al. 2021

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Ample evidence in the literature emphasizes using socio-technical congruence (STC) to address coordination issues in distributed software development. The recent decades have shown a progressive growth in STC, resulting in an increasing number of research studies in the scientific corpora. However, no existing study has systematically analyzed and illustrated the research patterns, latest trends, and evolution in STC. This study aims to explore the knowledge structure and create evolutionary trajectories from STC publications. To achieve this aim, a scientometric analysis is performed that combined a critical literature review (CLR) of STC-related published research in the Web of Science and Scopus databases from 2000 to 2020.The scientometric analysis is conducted through four scientometric techniques: i) coword network analysis, ii) co-author network analysis, iii) co-citation analysis, and iv) document clustering with timeline analysis. The study outcomes will help understand and visualize STC's research status quo. CLR is objectively conducted to recognize the latest research topics, themes, and salient features of STC research in software development. A total of 306 bibliographic data are analyzed to generate study-related networks and density visualizations. The results reveal an evolution in the STC field from its conception to the recent developments of STC models and other related factors. This study primarily contributes to the literature by providing a systematic view related to STC research to assist software practitioners in identifying applications and key research areas. Moreover, the combination of scientometric analysis and CLR reveals key researchers, journals and conferences, institutions, prominent contributing countries, and six major research themes, including "community structure" and "socio-technical congruence" as the most prominent ones.

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“…While such an approach is commonly employed to obtain the spatio-temporal parameters of gait (by processing the acceleration data with suitable algorithms [ 8 ]), an interesting feature associated with the use of IMUs when they are located on the low back is the possibility to characterize different aspects of gait using metrics directly derived from trunk acceleration data. In this regard, several different approaches in terms of acceleration processing and the calculation of associated metrics, which cover important characteristics of the motor control underlying the realization of gait patterns, such as smoothness, efficiency, automaticity, adaptability, variability, stability and symmetry, have been proposed [ 9 ]. For the purposes of the present study, we will focus our attention on the smoothness of gait, which is a feature able to summarize the consistent forward progression and the repeatability of step patterns (i.e., step-to-step symmetry).…”

Section: Introductionmentioning

confidence: 99%

Smoothness of Gait in Overweight (But Not Obese) Children Aged 6–10

et al. 2023

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Excessive body mass represents a serious threat to the optimal psychophysical development of children, and it is known to be able to significantly affect their locomotor capabilities, making them more prone to the development of musculoskeletal disorders. However, despite the relevant number of existing studies, a clear gait pattern of overweight children has not been defined yet, particularly in the case of a mass excess that is relatively small (i.e., in those not obese). In the present study, we employed a wearable inertial measurement unit placed on the low back to derive spatio-temporal parameters and quantify the smoothness of gait (by means of harmonic ratio) from trunk accelerations acquired during gait trials carried out by 108 children aged 6–10 (46% males), stratified into two groups according to their body mass index (normal weight, n = 69 and overweight, n = 39). The results show that while gait speed, stride length, cadence and double support duration were found to be almost identical in the two groups, significant differences were observed in terms of harmonic ratio. In particular, overweight children exhibited a reduced harmonic ratio in the antero-posterior direction and higher harmonic ratio in the medio-lateral direction. While the significantly lower harmonic ratio in the antero-posterior direction is likely to be indicative of a loss of smoothness in the walking direction, probably due to a combination of factors associated with the altered movement biomechanics, the higher harmonic ratio in the medio-lateral direction might be associated with specific strategies adopted to increase lateral stability. Although further studies are necessary to elucidate the specific mechanisms that influence the smoothness of gait, it is noteworthy that harmonic ratios appear sensitive even to subtle change in locomotor control in overweight children characterized by apparently regular spatio-temporal parameters of gait and might be employed to assess the effectiveness of interventions designed to improve mobility functions.

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Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review

Cited by 25 publications

References 190 publications

Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review

Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review

Socio-Technical Congruence as an Emerging Concept in Software Development: A Scientometric Analysis and Critical Literature Review

Smoothness of Gait in Overweight (But Not Obese) Children Aged 6–10

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