Electrical potentials measured on the surface of the knee reflect the changes of the contact force in the knee joint produced by postural sway

Zhu, Lin; Garon, M.; Quenneville, É.; Buschmann, Michael D.; Savard, P.

doi:10.1016/j.gaitpost.2016.10.011

Cited by 2 publications

(5 citation statements)

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“…EAG is a promising new technique to detect early arthritic changes and joint degeneration before radiological findings are found [37][38][39][40][41][42]. However, the use of EAG in a clinical setting as a standard diagnostic tool has yet to be evaluated.…”

Section: Joint Electrical Streaming Potentialsmentioning

confidence: 99%

“…In 2016 they measured various muscle interactions and how physical activity before data collection impacted results [ 38 , 39 ]. They further analyzed how postural sway changes have a role in EAG potential values [ 40 ]. Muscle interactions were hypothesized to act across the knee joint, increasing the contact force across the joint [ 38 ].…”

Section: Reviewmentioning

confidence: 99%

“…They found the EMR to be decreased in participants who had recently exercised, suggesting habituation of the stretch reflex and recommended that prior to EAG measurements, patients refrain from physical activity [ 39 ]. In 2017 the team set out to verify that dynamically loading the knee joint changes EAG potentials through postural sway [ 40 ]. They used the eight electrodes around the knee and ground-level force plates.…”

Section: Reviewmentioning

confidence: 99%

“…Electromechanical models predicted EAG potentials based on ground force measurements. It was found that EAG potentials predicted based on ground force displacements correlated with measured values, reflecting those changes in contact forces through the knee through postural sway producing measurable EAG potentials [ 40 ].…”

Section: Reviewmentioning

confidence: 99%

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Osteoarthritis: Can We Do Better?

Collins¹,

Elsouri²,

Beckler³

2022

Cureus

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Osteoarthritis (OA) is the most common form of arthritis, affecting approximately 32.5 million adults in the United States. OA is characterized as a degenerative joint disease or "wear and tear" arthritis. Symptoms experienced by patients include, but are not limited to, swelling, stiffness, pain or aching, and decreased range of motion. The majority of individuals impacted by OA are over the age of 65. OA has long been thought of as an inevitable part of aging. Patients are typically diagnosed after the onset of symptoms once irreversible damage has occurred, such as the breakdown of bone and cartilage. Along with clinical presentations, medical professionals often relied on radiographic images to confirm the diagnosis of OA. Limited research has looked into how to catch OA early and stage patients in a pre-OA state, possibly preventing irreparable damage that is observable radiographically. This article presents the history, diagnosis, and classes of OA. In addition, we present multiple diagnostic tools currently used and others under investigation, including OA-specific biomarkers and electroarthrography (EAG). These tools show promise as aids in early OA diagnosis and intervention, ultimately slowing down or altogether stopping the progression of OA. In conjunction or individually, these techniques, if further developed, stand out as promising mechanisms that may decrease the current OA burden on the healthcare system.

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Section: Joint Electrical Streaming Potentialsmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Osteoarthritis: Can We Do Better?

Collins¹,

Elsouri²,

Beckler³

2022

Cureus

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show abstract

“…11 EAG is a non-invasive method for measuring cartilage streaming potentials that involves placing contact electrodes on skin external to an articulation while the joint undergoes compressive loading. [18][19][20][21][22] Préville et al 18 introduced a clinical EAG protocol whereby adhesive electrodes were attached to skin surrounding one knee and the subject applied compressive load to the instrumented leg by shifting their body weight to achieve a one-legged stance. EAG measurements were thus acquired from 20 control subjects, as well as both knees of twenty patients diagnosed with radiographic bilateral knee OA and who had undergone unilateral total knee arthroplasty (TKA).…”

Section: Introductionmentioning

confidence: 99%

Non-invasive Electroarthrography Measures Load-Induced Cartilage Streaming Potentials via Electrodes Placed on Skin Surrounding an Articular Joint

et al. 2020

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Objective We aimed to demonstrate that electroarthrography (EAG) measures streaming potentials originating in the cartilage extracellular matrix during load bearing through electrodes adhered to skin surrounding an articular joint. Design Equine metacarpophalangeal joints were subjected to simulated physiological loads while (1) replacing synovial fluid with immersion buffers of different electrolyte concentrations and (2) directly degrading cartilage with trypsin. Results An inverse relationship between ionic strength and EAG coefficient was detected. Compared to native synovial fluid, EAG coefficients increased ( P < 0.05) for 5 of 6 electrodes immersed in 0.1X phosphate-buffered saline (PBS) (0.014 M NaCl), decreased ( P < 0.05) for 4 of 6 electrodes in 1X PBS (0.14 M NaCl), and decreased ( P < 0.05) for all 6 electrodes in 10X PBS (1.4 M NaCl). This relationship corresponds to similar studies where streaming potentials were directly measured on cartilage. EAG coefficients, obtained after trypsin degradation, were reduced ( P < 0.05) in 6 of 8, and 7 of 8 electrodes, during simulated standing and walking, respectively. Trypsin degradation was confirmed by direct cartilage assessments. Streaming potentials, measured by directly contacting cartilage, indicated lower cartilage stiffness ( P < 10−5). Unconfined compression data revealed reduced Em, representing proteoglycan matrix stiffness ( P = 0.005), no change in Ef, representing collagen network stiffness ( P = 0.15), and no change in permeability ( P = 0.24). Trypsin depleted proteoglycan as observed by both dimethylmethylene blue assay ( P = 0.0005) and safranin-O stained histological sections. Conclusion These data show that non-invasive EAG detects streaming potentials produced by cartilage during joint compression and has potential to become a diagnostic tool capable of detecting early cartilage degeneration.

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Electrical potentials measured on the surface of the knee reflect the changes of the contact force in the knee joint produced by postural sway

Cited by 2 publications

References 20 publications

Osteoarthritis: Can We Do Better?

Osteoarthritis: Can We Do Better?

Non-invasive Electroarthrography Measures Load-Induced Cartilage Streaming Potentials via Electrodes Placed on Skin Surrounding an Articular Joint

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