Literature DB >> 19632877

Real-time feedback improves accuracy of manually applied forces during cervical spine mobilisation.

Suzanne J Snodgrass1, Darren A Rivett, Val J Robertson, Elizabeth Stojanovski.   

Abstract

PURPOSE: To determine if real-time feedback enables students to apply mobilisation forces to the cervical spine that are similar to an expert physiotherapist.
METHODS: An instrumented treatment table collected mobilisation force data with feedback about forces displayed on a computer screen. An expert physiotherapist performed posteroanterior mobilisation of C7 on 21 asymptomatic subjects while forces were recorded. These data were used as force targets for 51 students who mobilised one of the asymptomatic subjects on two occasions. Students' forces were recorded before and after practice either with (experimental group) or without real-time feedback (control group). Improved performance was defined as a smaller difference between expert and student forces, comparing groups with non-parametric statistics.
RESULTS: Students receiving feedback applied more accurate forces than controls (median difference between student and expert forces in the experimental group, 4.0N, inter-quartile range (IQR) 1.9-7.7; in controls, 14.3N, IQR 6.2-26.2, difference between groups p<0.001). One week later, these students still applied forces that more closely matched the expert's compared to controls (p<0.01), but the differences between the students' and expert's forces were greater (6.4N, IQR 3.1-14.7).
CONCLUSION: Practice with real-time objective feedback enables students to apply forces similar to an expert, supporting its use in manual therapy training.

Mesh:

Year:  2009        PMID: 19632877     DOI: 10.1016/j.math.2009.05.011

Source DB:  PubMed          Journal:  Man Ther        ISSN: 1356-689X


  13 in total

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Authors:  Roland Sigrist; Georg Rauter; Laura Marchal-Crespo; Robert Riener; Peter Wolf
Journal:  Exp Brain Res       Date:  2014-12-16       Impact factor: 1.972

Review 2.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

3.  Biomechanical measures of knee joint mobilization.

Authors:  Jason L Silvernail; Norman W Gill; Deydre S Teyhen; Stephen C Allison
Journal:  J Man Manip Ther       Date:  2011-08

4.  Training and certification of doctors of chiropractic in delivering manual cervical traction forces: Results of a longitudinal observational study.

Authors:  Maruti Ram Gudavalli; Robert D Vining; Stacie A Salsbury; Christine M Goertz
Journal:  J Chiropr Educ       Date:  2014-09-19

5.  Real-time force feedback during flexion-distraction procedure for low back pain: A pilot study.

Authors:  Maruti Ram Gudavalli; James M Cox
Journal:  J Can Chiropr Assoc       Date:  2014-06

6. 

Authors:  Francisco X Araujo; Mauricio Scholl Schell; Giovanni E Ferreira; Mariana D V Pessoa; Alexandre S Pinho; Rodrigo D M Plentz; Marcelo F Silva
Journal:  J Chiropr Med       Date:  2019-05-07

7.  Synergistic Effects on the Elderly People's Motor Control by Wearable Skin-Stretch Device Combined with Haptic Joystick.

Authors:  Han U Yoon; Namita Anil Kumar; Pilwon Hur
Journal:  Front Neurorobot       Date:  2017-06-23       Impact factor: 2.650

8.  A pilot study of the effect of force feedback training on students learning flexion-distraction chiropractic technique.

Authors:  Robert M Rowell; M Ram Gudavalli; Steven Silverman
Journal:  J Chiropr Educ       Date:  2018-12-27

9.  Joint mobilization forces and therapist reliability in subjects with knee osteoarthritis.

Authors:  Bradley S Tragord; Norman W Gill; Jason L Silvernail; Deydre S Teyhen; Stephen C Allison
Journal:  J Man Manip Ther       Date:  2013-11

10.  Inertial sensor real-time feedback enhances the learning of cervical spine manipulation: a prospective study.

Authors:  Antonio I Cuesta-Vargas; Jonathan Williams
Journal:  BMC Med Educ       Date:  2014-06-19       Impact factor: 2.463

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