Experimental Methods for Studying the Contact Mechanics of Joints

Zdero, Radovan; Brzozowski, Pawel; Schemitsch, Emil H.

doi:10.1155/2023/4914082

Cited by 3 publications

(1 citation statement)

References 85 publications

(139 reference statements)

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“…Typically informed by measurements of ground reaction force, muscle activity, motion analysis, and increasingly by inertial measurement units [40], various models have been constructed to estimate potential forces applied to appendicular and axial bones during walking, running, and jumping, among other activities [41][42][43][44]. However, the process involves multiple stages, each with assumptions and errors that can cause a much larger compounded error [45]. As cautioned by Curry et al [46], validation still represents a key limitation of many of the models that have been constructed.…”

Section: Bonementioning

confidence: 99%

The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques

Wearing,

Hooper,

Langton

et al. 2024

Healthcare

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The measurement of musculoskeletal tissue properties and loading patterns during physical activity is important for understanding the adaptation mechanisms of tissues such as bone, tendon, and muscle tissues, particularly with injury and repair. Although the properties and loading of these connective tissues have been quantified using direct measurement techniques, these methods are highly invasive and often prevent or interfere with normal activity patterns. Indirect biomechanical methods, such as estimates based on electromyography, ultrasound, and inverse dynamics, are used more widely but are known to yield different parameter values than direct measurements. Through a series of literature searches of electronic databases, including Pubmed, Embase, Web of Science, and IEEE Explore, this paper reviews current methods used for the in vivo measurement of human musculoskeletal tissue and describes the operating principals, application, and emerging research findings gained from the use of quantitative transmission-mode ultrasound measurement techniques to non-invasively characterize human bone, tendon, and muscle properties at rest and during activities of daily living. In contrast to standard ultrasound imaging approaches, these techniques assess the interaction between ultrasound compression waves and connective tissues to provide quantifiable parameters associated with the structure, instantaneous elastic modulus, and density of tissues. By taking advantage of the physical relationship between the axial velocity of ultrasound compression waves and the instantaneous modulus of the propagation material, these techniques can also be used to estimate the in vivo loading environment of relatively superficial soft connective tissues during sports and activities of daily living. This paper highlights key findings from clinical studies in which quantitative transmission-mode ultrasound has been used to measure the properties and loading of bone, tendon, and muscle tissue during common physical activities in healthy and pathological populations.

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Section: Bonementioning

confidence: 99%

The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques

Wearing,

Hooper,

Langton

et al. 2024

Healthcare

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Navigating the Landscape of Dry Assembling Ordered Particle Structures: Can Solvents Become Obsolete?

Sotthewes,

Jimidar

2024

Small

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A spur on miniaturized devices led scientists to unravel the fundamental aspects of micro‐ and nanoparticle assembly to engineer large structures. Primarily, attention is given to wet assembly methods, whereas assembly approaches in which solvents are avoided are scarce. The “dry assembly” strategies can overcome the intrinsic disadvantages that are associated with wet assembly, e.g., the lack of versatility and scalability. This review uniquely summarizes the recent progress made to create highly ordered particle arrays without using a wet environment. Before delving into these methods, the surface interactions (e.g., van der Waals, contact mechanics, capillary, and electrostatics) are elaborated, as a profound understanding and balancing these are a critical aspect of dry assembly. To manipulate these interactions, strategies involving different forces, e.g., mechanical‐based, electrical‐based, or laser‐induced, sometimes in conjunction with pre‐templated substrates, are employed to attain ordered colloidal structures. The utilization of the ordered structures obtained without solvents is accompanied by specific examples. Dry assembly methods can aid us in achieving more sustainable assembly processes. Overall, this Review aims to provide an easily accessible resource and inspire researchers, including novices, to broaden dry assembly horizons significantly and close the remaining knowledge gap in the physical phenomena involved in this area.

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Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

Ben Chaabane,

Conze,

Lempereur

et al. 2023

Sci Rep

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Quantitative Gait Analysis (QGA) is considered as an objective measure of gait performance. In this study, we aim at designing an artificial intelligence that can efficiently predict the progression of gait quality using kinematic data obtained from QGA. For this purpose, a gait database collected from 734 patients with gait disorders is used. As the patient walks, kinematic data is collected during the gait session. This data is processed to generate the Gait Profile Score (GPS) for each gait cycle. Tracking potential GPS variations enables detecting changes in gait quality. In this regard, our work is driven by predicting such future variations. Two approaches were considered: signal-based and image-based. The signal-based one uses raw gait cycles, while the image-based one employs a two-dimensional Fast Fourier Transform (2D FFT) representation of gait cycles. Several architectures were developed, and the obtained Area Under the Curve (AUC) was above 0.72 for both approaches. To the best of our knowledge, our study is the first to apply neural networks for gait prediction tasks.

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Experimental Methods for Studying the Contact Mechanics of Joints

Cited by 3 publications

References 85 publications

The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques

The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques

Navigating the Landscape of Dry Assembling Ordered Particle Structures: Can Solvents Become Obsolete?

Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

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