1 / 11

Technical Quality Assurance of GA

This study aims to assess the quality of measurements conducted in gait labs through technical quality assurance. The protocol includes validation of measurement systems, synchronization of signals, and evaluation of repeatability. Results show excellent within-laboratory repeatability and good between-laboratories repeatability for most variables. However, differences in marker placement and electrode placement affect the repeatability of certain variables. Future work includes comparing different models on the same subject and analyzing comparability among different gait analysis centers.

matos
Download Presentation

Technical Quality Assurance of GA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Technical Quality Assurance of GA • The aim of Technical Quality Assurance (TQA) was to assess the quality of the measurements conducted in the gait labs involved in the WP6: • KU Leuven (KUL); • VU Medisch Centrum (VUA); • Ospedale Pediatrico ‘Bambino Gesù’ (OPBG) • TQA protocol is composed by two experimental sessions: • Low-level session: focused on the comparability of the measurement systems • High-level session: focused on the inter-laboratory/rater repeatability of gait analysis Amsterdam – 23-24 February 2015

  2. Low-level session • OS-validation • Wands were moved for 10 s inside the measurement volume • Distances and angles were evaluated and compared with the actual values • Repeatability of parameters was evaluated as RMSE Less accuracy of Bonita system Amsterdam – 23-24 February 2015

  3. Low-level session • S-synchro • Signal synchronization between the force platform and the EMG system • EMG Cometa system is provided with Foot-switch sensors (FS) which are acquired synchronously with EMG • Time delay between EMG and FP was individuated when both signals were zero Pointer Foot switch Force platform Values have to be considered in the activation time of muscles Amsterdam – 23-24 February 2015

  4. Low-level session • FP-validation • Pointer (LC-P) equipped with a 6-component load cell and 5 markers • Fully rotational ferrule allows LC-P to tilt in several directions • Application of arbitrary forces to each force platform with LC-P: • Oriented along the vertical axis • Tilted of approximately 30°around x and y • F and M were measured by LC-P and FP • F and M were projected on OS reference system • RMSEs were calculated for each pushed point Amsterdam – 23-24 February 2015

  5. Low-level session FP-validation • Forces and Moments measured with FP were comparable with the same parameters evaluated by means of LC-P • Differences between curves were observable only at VUA for Fx and Fy Amsterdam – 23-24 February 2015

  6. Low-level session FP-validation • Fy and Fx at OPBG and VUA got worse from the center to the edge of platform • Different behavior of platforms at each center was found • RMSE values were lower than the 1% of Full Scale of each platform • RMSEs have to be considered to estimate the contribution of FP to the overall uncertainty of the kinetic variables Amsterdam – 23-24 February 2015

  7. High level The aim of high level is the evaluation of the repeatability of measurements conducted in different laboratories. The protocol includes the following features: • Two healthy children have been recruited; • Data were collected in OPBG, KUL and VUA; • Two therapists per center; • Five walking trials were collected. • The considered variables are • Joint angles • Joint moments • Spatiotemporal parameters • Timing on EMG activation • The repeatability indices used : • Coefficient of Multiple Correlation (CMCw) within laboratory • Coefficient of Multiple Correlation (CMCb) between laboratories Amsterdam – 23-24 February 2015

  8. Within laboratory repeatability • In the sagittal plane the repeatability within laboratory was excellent • In the frontal and transverse plane the repeatability was lower than sagittal plane • CMC for hip rotation was the lowest value, it could be due to a different marker placement between therapists. Comparable values of CMC for second subjects were found (0.78, 0.83) Amsterdam – 23-24 February 2015

  9. Between laboratories repeatability • Two CMC between laboratories were calculated: • CMC between laboratories with PiG model (OPBG and KUL); • CMC between laboratories with different models (OPBG, KUL and VUA). • The repeatability between the three centers was lower than the repeatability between OPBG and KUL, however in the range of a good repeatability, with the exception of hip rotation between the three laboratories. Amsterdam – 23-24 February 2015

  10. EMG Signal • The activation time of 8 muscles (4 agonist and 4 antagonist) of one lower limb was calculated • T-tests were performed in order to find significant differences between the operators of the same laboratory • One-way ANOVA was conducted whether t-test was not significant • T-tests were significant only for Anterior Tibialis and Gastrocnemius • Statistical differences between laboratories were found for Gluteus Medius in both subjects • Therapists have to pay specific attention to place electrodes on Anterior Tibialis, Gastrocnemius and Gluteus Medius • Comparability of EMG data of these muscles among centers could be questionable Amsterdam – 23-24 February 2015

  11. Future Works • Analysis of comparability of the two models (PiG and HBM) on the same subject and the same gait • In order to do it, we need of: • Gait data from OPBG and KUL taking into account HBM model; • Gait data from VUA taking into account PiG model. Amsterdam – 23-24 February 2015

More Related