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Enregistrement W2941630162

Muscle activation asymmetry in patients after hip replacement evaluated using surface electromyography

2019· article· en· W2941630162 sur OpenAlexaboutno aff
Marco Trucco, Corrado Cescon, Ruben Romano, Marta Garnero, Adele Occhionero, Annalisa Daprà, Massimiliano Lai, Marco Barbero

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueMuscle activation and electromyography studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésElectromyographySquatIsometric exercisePhysical medicine and rehabilitationPhysical therapyMedicineVastus medialisRehabilitationMuscle fatigue
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Trucco M1,2, Cescon C3, Romano R1, Garnero M1, Occhionero A4, Daprà A4, Lai M4, Barbero M31San Camillo Hospital, Torino, Italy, 2Università degli Studi di Torino, Corso di Laurea in Fisioterapia, Torino, Italy, 3SUPSI, Manno, Switzerland, 4Bachelor's Degree in Physiotherapy, Università degli Studi di Torino, Torino, ItalyBackground: Surface electromyography (EMG) has been often used, in the last years, as a tool to assess and evaluate different diseases and disorders. Despite its effectiveness in analyzing of muscle fatigue was largely shown, there is still lack of information regarding the evolution of EMG fatigue signals in people with hip replacement during sub-acute period.Purpose: The aim of this study was to evaluate EMG muscle fatigue and asymmetry between healthy and operated limb, and how these parameters changed during two-week rehabilitation.Methods: Forty-three patients (28 females) with hip replacement were enrolled in the study. Surface EMG signals were recorded from vastus medialis (VM) and lateralis (VL) muscles using adhesive concentric ring electrodes (OT-Bioelettronica, Torino, Italy) during isometric squat. A force platform was used to provide a visual feedback in order to have equal distribution of the body weight on the two legs. Patients were asked to maintain a squat position with their back against a wall and knees flexed at 120° for 60 seconds. The measurements were repeated in three sessions (T0 two-three days after the operation, T1 after one week, and T2 after two weeks of rehabilitation). Muscle force was measured separately during leg extension using a hand-held dynamometer (MicroFet, Hoggan ind. Salt Lake City, USA). Borg scale, numeric rating scale (NRS) for pain, Timed Up and Go (TUG) Test were collected during each session. In addition, a Western Ontario & McMaster Universities Osteoarthritis Index (WOMAC) was used to assesses pain stiffness and physical function before the rehabilitation cycle and two months after the discharge from the clinic, as well as a EQ-5D questionnaire to measure the health-related quality of life. EMG signals were analyzed in order to extract amplitude (ARV) and mean power frequency (MNF). Linear regression analysis was applied in order to extract initial values and slopes of the two variables. Statistical analysis was performed using non parametric paired tests between the two limbs (Wilcoxon signed-rank test).Results: MNF showed a statistically significant decrease in both legs indicating muscle fatigue during the task. A statistically significant asymmetry of ARV was observed between the two legs at T0, with the operated leg showing lower EMG amplitude as expected. The asymmetry was progressively reducing at T1 and disappeared at T2. Force asymmetry between the two legs at T0 was also observed, with the operated leg showing lower force. The force asymmetry did not change significantly during the two weeks of rehabilitation. No correlation was observed between EMG amplitude asymmetry and force asymmetry, while a significant correlation was observed between amplitude asymmetry and WOMAC total score. MNF slope did not change significantly during the three sessions, indicating no variations of muscle fatigue in the vastii muscles.Conclusion(s): An asymmetry of muscle activation was observed after the hip replacement, with lower EMG amplitude in the operated limb, and this asymmetry was progressively reduced during the rehabilitation period, disappearing after two weeks.Implications: EMG signal amplitude asymmetry showed to be a promising tool to assess muscle activity during a rehabilitation period.Keywords: Surface EMG, Muscle fatigue, Hip replacementFunding acknowledgements: The study was unfundedTopic: Orthopaedics; Musculoskeletal: lower limb; Disability & rehabilitationEthics approval required: YesInstitution: San Camillo HospitalEthics committee: Comitato etico interaziendale Città della Salute e della Scienza TorinoEthics number: CS2/629All authors, affiliations and abstracts have been published as submitted.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,218
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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