Literature DB >> 30580584

Routine clinical motion analysis: comparison of a bespoke real-time protocol to current clinical methods.

Lindsay Jane Millar1, Lin Meng1, Philip John Rowe1.   

Abstract

Motion analysis (MA) hardware has recently become more accessible; however, protocols have not developed in conjunction. Routine clinical assessment mostly relies on unreliable observational methods. This study aimed to develop an MA protocol for routine clinical use and compare kinematics and reliability to the gold-standard. Ten participants completed 10 over ground walks with a comprehensive marker set (bespoke and gold-standard). Inter/intra-assessor reliability was also compared. Results demonstrated comparable kinematics. Reliability of the bespoke model was lower than the gold standard but higher than observational methods. The bespoke model can be recommended for routine clinical use to assess patient progress and function.

Entities:  

Keywords:  Motion analysis; gait; kinematics; real-time; reliability

Mesh:

Year:  2018        PMID: 30580584     DOI: 10.1080/10255842.2018.1541089

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  3 in total

1.  Treadmill training augmented with real-time visualisation feedback and function electrical stimulation for gait rehabilitation after stroke: a feasibility study.

Authors:  Chanwit Phongamwong; Philip Rowe; Karen Chase; Andrew Kerr; Lindsay Millar
Journal:  BMC Biomed Eng       Date:  2019-08-22

2.  A pilot randomised control trial of the efficacy of stability-based training with visualisation for people with chronic ankle instability.

Authors:  L Forsyth; J Bonacci; C Childs
Journal:  Med Biol Eng Comput       Date:  2022-03-05       Impact factor: 2.602

Review 3.  Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.

Authors:  Léonie Pacher; Christian Chatellier; Rodolphe Vauzelle; Laetitia Fradet
Journal:  Sensors (Basel)       Date:  2020-06-11       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.