Literature DB >> 26351120

Frontal plane pelvic motion during gait captures hip osteoarthritis related disability.

Stijn A A N Bolink1, Luke R Brunton2, Simon van Laarhoven1, Matthijs Lipperts1, Ide C Heyligers1, Ashley W Blom2, Bernd Grimm1.   

Abstract

Gait analysis has widely been accepted as an objective measure of function and clinical outcome. Ambulatory accelerometer-based gait analysis has emerged as a clinically more feasible alternative to optical motion capture systems but does not provide kinematic characterisation to identify disease dependent mechanisms causing walking disability. This study investigated the potential of a single inertial sensor to derive frontal plane motion of the pelvis (i.e. pelvic obliquity) and help identify hip osteoarthritis (OA) related gait alterations. Patients with advanced unilateral hip OA (n = 20) were compared to patients with advanced unilateral knee OA (n = 20) and to a healthy control group (n = 20). Kinematic characterisation of frontal plane pelvic motion during gait demonstrated decreased range of motion and increased asymmetry for hip OA patients specifically.

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Year:  2015        PMID: 26351120     DOI: 10.5301/hipint.5000282

Source DB:  PubMed          Journal:  Hip Int        ISSN: 1120-7000            Impact factor:   2.135


  7 in total

1.  In Vivo Pelvic and Hip Joint Kinematics in Patients With Cam Femoroacetabular Impingement Syndrome: A Dual Fluoroscopy Study.

Authors:  Penny R Atkins; Niccolo M Fiorentino; Joseph A Hartle; Stephen K Aoki; Christopher L Peters; K Bo Foreman; Andrew E Anderson
Journal:  J Orthop Res       Date:  2019-11-14       Impact factor: 3.494

Review 2.  Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.

Authors:  Michael J Rose; Kerry E Costello; Samantha Eigenbrot; Kaveh Torabian; Deepak Kumar
Journal:  JMIR Rehabil Assist Technol       Date:  2022-06-02

3.  An Automated Recording Method in Clinical Consultation to Rate the Limp in Lower Limb Osteoarthritis.

Authors:  R Barrois; Th Gregory; L Oudre; Th Moreau; Ch Truong; A Aram Pulini; A Vienne; Ch Labourdette; N Vayatis; S Buffat; A Yelnik; C de Waele; S Laporte; P P Vidal; D Ricard
Journal:  PLoS One       Date:  2016-10-24       Impact factor: 3.240

4.  Evaluating physical function and activity in the elderly patient using wearable motion sensors.

Authors:  Bernd Grimm; Stijn Bolink
Journal:  EFORT Open Rev       Date:  2017-03-13

5.  Independent and sensitive gait parameters for objective evaluation in knee and hip osteoarthritis using wearable sensors.

Authors:  Ramon J Boekesteijn; José M H Smolders; Vincent J J F Busch; Alexander C H Geurts; Katrijn Smulders
Journal:  BMC Musculoskelet Disord       Date:  2021-03-03       Impact factor: 2.362

Review 6.  Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Authors:  Dylan Kobsar; Zaryan Masood; Heba Khan; Noha Khalil; Marium Yossri Kiwan; Sarah Ridd; Matthew Tobis
Journal:  Sensors (Basel)       Date:  2020-12-13       Impact factor: 3.576

7.  Objective monitoring of functional recovery after total knee and hip arthroplasty using sensor-derived gait measures.

Authors:  Ramon Boekesteijn; José Smolders; Vincent Busch; Noël Keijsers; Alexander Geurts; Katrijn Smulders
Journal:  PeerJ       Date:  2022-09-28       Impact factor: 3.061

  7 in total

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